CN111803013A - An endoscopic imaging method and an endoscopic imaging system - Google Patents
An endoscopic imaging method and an endoscopic imaging system Download PDFInfo
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Abstract
Description
技术领域technical field
本发明涉及医疗器械技术领域,具体涉及一种内窥镜成像方法和内窥镜成像系统。The invention relates to the technical field of medical devices, in particular to an endoscopic imaging method and an endoscopic imaging system.
背景技术Background technique
在微创手术中,应用激励光内窥镜(或荧光内窥镜)可精准定位癌的位置,进而更加精准的进行癌变组织切除。其主要原理为:通过将激励光药剂散布或注入到生物体的对象部位之后,向被摄体照射来自光源装置的激励光,通过扑捉来自癌上的荧光,来进行癌的存在诊断和恶性程度等的定性诊断。In minimally invasive surgery, the application of excitation light endoscopy (or fluorescence endoscopy) can accurately locate the location of cancer, and then more accurately remove cancerous tissue. The main principle is: after the excitation photodrug is dispersed or injected into the target part of the living body, the subject is irradiated with excitation light from the light source device, and the fluorescence from the cancer is captured to diagnose the existence of cancer and malignancy. Qualitative diagnosis of degree, etc.
现有技术主要通过单相机分时成像和双相机分光成像实现。分光技术主要采用在手柄端,对白光、激发光、和激励光进行分离,并采用2个或2个以上的传感器(CCD或CMOS)分别对白光和荧光单色图像感光。一种实现为一路彩色传感器一路激励光单色传感器。另一种实现为三路R、G、B单色传感器,再加一路激励光单色传感器。The prior art is mainly realized by single-camera time-division imaging and dual-camera spectroscopic imaging. Spectroscopic technology is mainly used at the handle end to separate white light, excitation light, and excitation light, and two or more sensors (CCD or CMOS) are used to sense white light and fluorescent monochromatic images respectively. One is realized as one color sensor and one excitation light monochromatic sensor. Another implementation is three-way R, G, B monochrome sensors, plus one-way excitation light monochrome sensor.
现有技术需要复杂的分光和滤光技术来避免白光污染荧光单色图像或是激励光污染白光彩色图像。无论是分时或是分光,现有技术可见光、返回激励光、和激励光都是共用一套前端光学链路,由于可见光和激励光波长不同导致焦距有所差异,造成可见光图像和荧光单色图像清晰度不一致。The prior art requires complex spectroscopic and filtering techniques to avoid contamination of fluorescent monochromatic images with white light or contamination of white light color images with excitation light. Whether it is time-sharing or light-splitting, in the prior art, visible light, return excitation light, and excitation light all share a set of front-end optical links. Due to the different wavelengths of visible light and excitation light, the focal lengths are different, resulting in visible light images and fluorescent monochrome. Image clarity is inconsistent.
发明内容SUMMARY OF THE INVENTION
本发明提供一种光路简单、成像清晰的内窥镜成像方法和内窥镜成像系统。The invention provides an endoscopic imaging method and an endoscopic imaging system with simple optical path and clear imaging.
根据第一方面,一种实施例中提供一种内窥镜成像方法,包括如下步骤:According to a first aspect, an embodiment provides an endoscopic imaging method, comprising the following steps:
控制第一光源和第二光源分别发射白光和激励光,白光和激励光融合形成混合光照射到人体上;Controlling the first light source and the second light source to emit white light and excitation light respectively, and the white light and the excitation light are combined to form mixed light and irradiate on the human body;
通过位于内窥镜前端的第一传感器获取人体反射的可见光,第一传感器将可见光转为第一图像信号;同时,通过位于内窥镜前端的第二传感器获取人体被激发产生的荧光,第二传感器将荧光转为第二图像信号;The visible light reflected by the human body is obtained through the first sensor located at the front end of the endoscope, and the first sensor converts the visible light into a first image signal; at the same time, the fluorescence generated by the human body excited by the second sensor is obtained through the second sensor located at the front end of the endoscope. The sensor converts the fluorescence into a second image signal;
获取第一图像信号和第二图像信号,将第一图像信号转为白光彩色图像,第二图像信号转为荧光单色图像,再将白光彩色图像和荧光图像经过图像处理输出内窥镜图像。The first image signal and the second image signal are acquired, the first image signal is converted into a white light color image, the second image signal is converted into a fluorescent monochrome image, and the white light color image and the fluorescent image are processed to output an endoscopic image.
进一步的,图像处理包括如下步骤:Further, the image processing includes the following steps:
将白光彩色图像转为RGB图像;Convert white light color image to RGB image;
将RGB图像转为灰度图像;Convert RGB image to grayscale image;
将荧光单色图像和灰度图像的灰度信息进行图像归一化处理,再使用立体匹配算法获取荧光单色图像匹配到白光彩色图像的立体视差图;Normalize the grayscale information of the fluorescent monochromatic image and the grayscale image, and then use the stereo matching algorithm to obtain the stereo disparity map of the fluorescent monochromatic image matched to the white light color image;
根据立体视差图,将荧光单色图像重建到白光彩色图像的坐标系中得到重建荧光单色图像;According to the stereo disparity map, reconstruct the fluorescent monochromatic image into the coordinate system of the white light color image to obtain the reconstructed fluorescent monochromatic image;
将重建荧光单色图像叠加到RGB图像上形成内窥镜图像。The reconstructed fluorescent monochromatic image is superimposed on the RGB image to form an endoscopic image.
进一步的,图像处理的步骤中,计算出立体视差图后,通过立体视差图计算人体内被摄物与摄像头端面的距离,进而得出不同荧光区域的深浅信息,再对距离远的荧光区域的荧光亮度进行补偿。Further, in the step of image processing, after the stereo disparity map is calculated, the distance between the object in the human body and the end face of the camera is calculated through the stereo disparity map, and then the depth information of different fluorescent areas is obtained, and then the distance between the fluorescent areas with far distances is calculated. Fluorescence brightness is compensated.
进一步的,荧光亮度的补偿包括如下步骤:Further, the compensation of fluorescence brightness includes the following steps:
计算每个荧光区域的荧光光平均值,并找出平均值最高的荧光区域;Calculate the average value of fluorescence light for each fluorescence area, and find the fluorescence area with the highest average value;
除平均值最高的荧光区域外的其他荧光区域分别乘一个与之对应的增益系数,使得其他荧光区域与平均值最高的荧光区域的荧光亮度一致。The other fluorescence regions except the fluorescence region with the highest average value are respectively multiplied by a corresponding gain coefficient, so that the fluorescence brightness of the other fluorescence regions and the fluorescence region with the highest average value are consistent.
进一步的,荧光亮度的补偿包括如下步骤:Further, the compensation of fluorescence brightness includes the following steps:
预先设计计算一条根据人体被摄物与摄像头端面距离远近的荧光补偿增益曲线;Pre-design and calculate a fluorescence compensation gain curve according to the distance between the human subject and the end face of the camera;
在得出不同荧光区域的深浅信息后,每个区域根据补偿增益曲线进行荧光补偿。After obtaining the depth information of different fluorescence regions, each region performs fluorescence compensation according to the compensation gain curve.
根据第二方面,一种实施例中提供一种内窥镜成像系统,包括:According to a second aspect, an embodiment provides an endoscopic imaging system, comprising:
手柄,手柄具有穿线通道;The handle, the handle has a threading channel;
镜管,镜管连接在与手柄的前端;Mirror tube, the mirror tube is connected to the front end of the handle;
光源组件,光源组件包括第一光源、第二光源和导光束,第一光源用于发射白光,第二光源用于发射激励光,导光束的一端穿设在镜管内并延伸至镜管内的前端,导光束的另一端与第一光源和第二光源连接;Light source assembly, the light source assembly includes a first light source, a second light source and a light guide, the first light source is used for emitting white light, the second light source is used for emitting excitation light, one end of the light guide is penetrated in the mirror tube and extends to the front end of the mirror tube , the other end of the light guide is connected with the first light source and the second light source;
第一前端组件,第一前端组件安装在镜管内的前端,第一前端组件包括前后依次排列的第一镜组和第一传感器,第一镜组用于获取人体被摄物反射的可见光,第一传感器用于获取第一镜组过滤后的可见光并生成第一图像信号;The first front-end assembly, the first front-end assembly is installed at the front end of the mirror tube, the first front-end assembly includes a first mirror group and a first sensor arranged in sequence, the first mirror group is used to obtain the visible light reflected by the human body subject, and the first A sensor is used for acquiring the visible light filtered by the first lens group and generating the first image signal;
第二前端组件,第二前端组件与第一前端组件并排安装在镜管内的前端,第二前端组件包括前后依次排列的第二镜组和第二传感器,第二镜组用于获取人体被摄物被激发的荧光,第二传感器用于获取第二镜组过滤后的荧光并生成第二图像信号;The second front-end assembly, the second front-end assembly and the first front-end assembly are installed side by side at the front end of the mirror tube, the second front-end assembly includes a second mirror group and a second sensor arranged in sequence, and the second mirror group is used to capture the human body. the excited fluorescence of the object, and the second sensor is used to acquire the fluorescence filtered by the second lens group and generate a second image signal;
以及控制装置,控制装置与第一光源、第二光源、第一传感器和第二传感器连接;控制装置用于控制第一光源发射白光和第二光源分别发射激励光,用于采集第一传感器生成的第一图像信息和第二传感器生成的第二图像信息,及用于将第一图像信号转为白光彩色图像,第二图像信号转为荧光单色图像,再将白光彩色图像和荧光单色图像经过图像处理输出内窥镜图像。and a control device, the control device is connected with the first light source, the second light source, the first sensor and the second sensor; the control device is used for controlling the first light source to emit white light and the second light source to emit excitation light respectively, for collecting the first sensor to generate The first image information and the second image information generated by the second sensor are used to convert the first image signal into a white light color image, the second image signal into a fluorescent monochrome image, and then convert the white light color image and the fluorescent monochrome image. The image is processed to output an endoscopic image.
进一步的,控制装置包括控制器、图像采集模块和图像处理模块,控制器用于用于控制第一光源发射白光和第二光源分别发射激励光,图像采集模块用于采集第一传感器生成的第一图像信息和第二传感器生成的第二图像信息,图像处理模块用于将第一图像信号转为白光彩色图像,第二图像信号转为荧光单色图像,再将白光彩色图像和荧光单色图像经过图像处理输出内窥镜图像。Further, the control device includes a controller, an image acquisition module and an image processing module, the controller is used to control the first light source to emit white light and the second light source to respectively emit excitation light, and the image acquisition module is used to collect the first sensor generated by the first sensor. The image information and the second image information generated by the second sensor, the image processing module is used to convert the first image signal into a white light color image, the second image signal into a fluorescent monochrome image, and then convert the white light color image and the fluorescent monochrome image. The endoscopic image is output after image processing.
进一步的,控制装置还包括传感器驱动模块,传感器驱动模块的输入端与控制器连接,传感器驱动模块的输出端分别与第一传感器和第二传感器连接,传感器驱动模块用于将控制器计算得出的传感器设置信息输出至第一传感器和第二传感器。Further, the control device further includes a sensor drive module, the input end of the sensor drive module is connected to the controller, the output end of the sensor drive module is connected to the first sensor and the second sensor respectively, and the sensor drive module is used to calculate the controller The sensor setting information is output to the first sensor and the second sensor.
进一步的,光源组件还包括光源控制模块,光源控制模块的输入端与控制器连接,光源控制模块的输出端与第一光源和第二光源连接,光源控制模块用于接收控制器的控制信号并控制第一光源和第二光源发射光的光强度。Further, the light source assembly further includes a light source control module, the input end of the light source control module is connected with the controller, the output end of the light source control module is connected with the first light source and the second light source, and the light source control module is used for receiving the control signal of the controller and generating the control signal. The light intensity of the light emitted by the first light source and the second light source is controlled.
进一步的,第一镜组包括荧光截止滤光镜,第二镜组包括可见光截止滤光镜。Further, the first mirror group includes a fluorescence cut filter, and the second mirror group includes a visible light cut filter.
依据上述实施例的内窥镜成像方法和内窥镜成像系统,由于通过位于镜管的前端两个传感器能够分别采集人体被摄物反射的可见光和激发的荧光并生成相应的图像信号,再把图像信号传递到后端处理得到最终的内窥镜图像;相比现有技术中通过光路将可见光和荧光从镜管前端传递到后端再采集处理,本内窥镜解决了光路传播导致的精度下降问题,提高了成像精度,并且也省去光路成本和光路占用空间;另外,可见光和荧光独立光路设计,可见光和荧光可实现分别对焦采集,从而保证可见光图像和荧光图像清晰度一致;本内窥镜成像系统为双目立体视觉,能够获得三维信息,以补偿不同深度区域的荧光亮度。According to the endoscopic imaging method and endoscopic imaging system of the above-mentioned embodiments, the visible light reflected by the human body object and the excited fluorescence can be collected respectively by the two sensors located at the front end of the mirror tube, and corresponding image signals can be generated, and then the The image signal is transmitted to the back end for processing to obtain the final endoscopic image; compared with the prior art, the visible light and fluorescence are transmitted from the front end of the mirror tube to the back end through the optical path and then collected and processed, the endoscope solves the accuracy caused by the propagation of the optical path. In addition, the visible light and fluorescence are independent of the optical path design, and the visible light and fluorescence can be collected separately, so as to ensure the same clarity of the visible light image and the fluorescence image; The speculum imaging system is binocular stereo vision, which can obtain three-dimensional information to compensate the fluorescence brightness in different depth regions.
附图说明Description of drawings
图1为一种实施例中内窥镜成像系统的结构示意图;1 is a schematic structural diagram of an endoscopic imaging system in an embodiment;
图2为一种实施例中内窥镜成像方法的流程图;2 is a flowchart of an endoscopic imaging method in an embodiment;
图3为一种实施例中内窥镜成像方法的图像处理的流程图。FIG. 3 is a flowchart of image processing of an endoscopic imaging method in an embodiment.
具体实施方式Detailed ways
下面通过具体实施方式结合附图对本发明作进一步详细说明。其中不同实施方式中类似元件采用了相关联的类似的元件标号。在以下的实施方式中,很多细节描述是为了使得本申请能被更好的理解。然而,本领域技术人员可以毫不费力的认识到,其中部分特征在不同情况下是可以省略的,或者可以由其他元件、材料、方法所替代。在某些情况下,本申请相关的一些操作并没有在说明书中显示或者描述,这是为了避免本申请的核心部分被过多的描述所淹没,而对于本领域技术人员而言,详细描述这些相关操作并不是必要的,他们根据说明书中的描述以及本领域的一般技术知识即可完整了解相关操作。The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments have used associated similar element numbers. In the following embodiments, many details are described so that the present application can be better understood. However, those skilled in the art will readily recognize that some of the features may be omitted under different circumstances, or may be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification, in order to avoid the core part of the present application from being overwhelmed by excessive description, and for those skilled in the art, these are described in detail. The relevant operations are not necessary, and they can fully understand the relevant operations according to the descriptions in the specification and general technical knowledge in the field.
另外,说明书中所描述的特点、操作或者特征可以以任意适当的方式结合形成各种实施方式。同时,方法描述中的各步骤或者动作也可以按照本领域技术人员所能显而易见的方式进行顺序调换或调整。因此,说明书和附图中的各种顺序只是为了清楚描述某一个实施例,并不意味着是必须的顺序,除非另有说明其中某个顺序是必须遵循的。Additionally, the features, acts, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can also be exchanged or adjusted in order in a manner obvious to those skilled in the art. Therefore, the various sequences in the specification and drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a necessary order unless otherwise stated, a certain order must be followed.
本文中为部件所编序号本身,例如“第一”、“第二”等,仅用于区分所描述的对象,不具有任何顺序或技术含义。而本申请所说“连接”、“联接”,如无特别说明,均包括直接和间接连接(联接)。文中的前端为靠近人体被摄物的一端,后端为远离人体被摄物的一端。The serial numbers themselves, such as "first", "second", etc., for the components herein are only used to distinguish the described objects, and do not have any order or technical meaning. The "connection" and "connection" mentioned in this application, unless otherwise specified, include both direct and indirect connections (connections). In the text, the front end is the end close to the human subject, and the rear end is the end away from the human subject.
实施例一:Example 1:
本实施例提供了一种内窥镜成像系统,本内窥镜成像系统为双目内窥镜,主要用于检测人体癌变情况。This embodiment provides an endoscope imaging system. The endoscope imaging system is a binocular endoscope, which is mainly used for detecting human canceration.
如图1所示,本内窥镜成像系统主要包括手柄10、镜管20、光源组件30、第一前端组件40、第二前端组件50和控制装置60,内窥镜成像系统的其他部分并未在本申请中涉及,故不进行详细描述。As shown in FIG. 1 , the endoscopic imaging system mainly includes a
镜管20为硬镜管或软镜管,镜管20的后端连接在手柄10的前端上,手柄10内设有与镜管20连通的穿线通道,手柄10用于医生操作镜管20的前端伸入到人体内。The
光源组件30包括第一光源31、第二光源32和导光束33,第一光源31和第二光源32位于在手柄10的后方,如安装在控制装置60内,或独立安装在一个单独装置内,导光束33的两端分别为输入端和输出端,导光束33的输入端和输出端均具有两个分支光束,导光束33的输入端的两个分支光束分别与第一光源31和第二光源32连接,导光束33的输出端两个分支光束穿过手柄10延伸至镜管20内的前端位置,并且两个输出分支光束对称设置。第一光源31用于发射白光(可见光),第二光源32用于发射激励光,第一光源31发射的白光和第二光源32发射的激发光在导光束33内融合成混合光。也可在第一光源31和第二光源32的前端安装融合光路34,融合光路34由两个输入端和一个输出端构成,内部设有折射镜等结构,使得将两路光汇合成一路光输出,融合光路34的输出端与导光束33的输入端连接,融合光路34的两个输入端与第一光源31和第二光源32的出射光路对齐,融合光路34将第一光源31发射的白光和第二光源32发射的激发光融合成混合光再通过导光束33照射到人体被摄物上。导光束33的输出端设置有两个分支光束,使得能够均匀的将混合光照射到人体被摄物上。The
第一前端组件40和第二前端组件50并排安装在镜管20内的前端位置处,并且第一前端组件40、第二前端组件50位于镜管20内的中部,导光束33的输出端位于镜管20内的边缘处。第一前端组件40用于采集人体被摄物反射的可见光,第二前端组件50用于采集人体被摄物被激发的荧光。The first
第一前端组件40包括第一镜组41和第一传感器42,第一镜组41和第一传感器42沿着自前往后的方向依次排列,并且对齐在光轴上。第一镜组41的后端具有荧光截止滤光镜411,荧光截止滤光镜411用于过滤混合光中的荧光,荧光截止滤光镜411将过滤后可见光(白光)照射至第一传感器42上。第一传感器42为彩色传感器,第一传感器42用于获取可见光(白光)并生成相应的第一图像信号。The first front-
第二前端组件50包括第二镜组51和第二传感器52,第二镜组51和第二传感器52沿着自前往后的方向依次排列,并且对齐在光轴上。第二镜组51的后端具有可见光截止滤光镜511,可见光截止滤光镜511用于过滤混合光中的可见光,可见光截止滤光镜511将过滤后的荧光照射至第二传感器52上。第二传感器52为单色传感器,第二传感器52用于获取荧光并生成相应的第二图像信号。其中,第一镜组41和第二镜组51分别为对焦镜组,分别设置成在可见光和荧光模式下对焦,第一镜组41和第二镜组51除滤光镜以外的镜片可以相同。在其他实施例中,荧光截止滤光镜411和可见光截止滤光镜511为过滤膜,过滤膜贴在第二镜组51的前端或后端镜片上。The second front-
本实施例中,控制装置60安装在手柄10后方的设备内,控制装置60为内窥镜成像系统的主机部分,控制装置60具有控制和处理功能。控制装置60包括控制器61、图像采集模块62和图像处理模块63,控制器61分别与图像采集模块62、图像处理模块63、第一光源31、第二光源32、第一传感器42和第二传感器52连接。控制器61为控制中心,用于控制整个内窥镜成像工作。In this embodiment, the
光源组件30还包括光源控制模块35,光源控制模块35的输入端与控制器61连接,光源控制模块35的两个输出端分别与第一光源31和第二光源32连接。光源控制模块35用于获取接收控制器61的控制信号并控制第一光源31和第二光源32发射光的光强度。The
控制装置60还包括传感器驱动模块64,传感器驱动模块64的输入端与控制器61连接,传感器驱动模块64的一个输出端通过线缆43穿过手柄10与镜管20内的第一传感器42连接,传感器驱动模块64另一个输出端通过线缆53穿过手柄10与镜管20内的第二传感器52连接。传感器驱动模块64用于将控制器61计算得出的传感器设置信息输出至第一传感器42和第二传感器52。The
控制装置60还包括输入设备65连接,输入设备65为键盘、触控屏等设备,输入设备65与控制器61连接,输入设备65用于输入操作指令和参数给控制器61,控制器61根据输入的指令做出响应控制其他部件工件。The
图像采集模块62的输入端通过线缆44穿过手柄10与镜管20内的第一传感器42连接,图像采集模块62通过线缆44获取第一传感器42生成的第一图像信号。图像采集模块62的输入端还通过线缆54穿过手柄10与镜管20内的第二传感器52连接,图像采集模块62通过线缆54获取第二传感器52生成的第二图像信号。图像采集模块62的输出端与图像处理模块63连接,图像处理模块63用于获取图像采集模块62采集的第一图像信号和第二图像信号,图像处理模块63还用于将第一图像信号转为白光彩色图像,第二图像信号转为荧光单色图像,再将白光彩色图像和荧光单色图像经过图像处理输出内窥镜图像。The input end of the
图像处理模块63与显示器70连接,图像处理模块63将计算生成的内窥镜图像输出给显示器70展示。The
本实施例的内窥镜成像系统,由于将第一前端组件40和第二前端组件50安装在镜管20内的前端,第一前端组件40和第二前端组件50分别采集可见光和荧光,并将白光和荧光转为对应的图像信号传送到手柄10的后端的图像处理模块63内进行计算和处理。相比现有技术中通过光路将可见光和荧光从镜管前端传递到后端再采集处理,本内窥镜解决了光路传播导致的精度下降问题,提高了成像精度,并且也省去光路成本和光路占用空间。另外,可见光和荧光独立光路设计,可见光和荧光可实现分别对焦采集,从而保证可见光图像和荧光图像清晰度一致;本内窥镜成像系统为双目立体视觉,能够获得三维信息,以补偿不同深度区域的荧光亮度。In the endoscopic imaging system of this embodiment, since the first
实施例二:Embodiment 2:
本实施例提供了一种内窥镜成像方法,本成像方法基于上述实施例中的内窥镜成像系统实现。This embodiment provides an endoscopic imaging method, and the imaging method is implemented based on the endoscopic imaging system in the foregoing embodiment.
如图2所示,本实施例的内窥镜成像方法包括如下步骤:As shown in FIG. 2 , the endoscopic imaging method of this embodiment includes the following steps:
S10、光照;S10, lighting;
光源控制模块35控制第一光源31发射白光,同时控制第二光源32发射激励光,白光和激励光经过光路融合成混合光,混合光通过导光束33照射到人体内组织(被摄物)上;人体内组织(被摄物)将反射白光(可见光),同时人体内癌变的区域被激励光照射后将激发产生荧光;The light
S20、采集可见光和荧光;S20, collecting visible light and fluorescence;
通过位于镜管20内前端的第一前端组件40采集可见光,通过位于镜管20内前端的第二前端组件50采集荧光。Visible light is collected by the first
其中,第一镜组41将人体被摄物反射和激发的可见光和荧光形成的混合光传递至荧光截止滤光镜411上,荧光截止滤光镜411过滤荧光将可见光照射至第一传感器42上,第一传感器42将可见光转为第一图像信号。The
同时,第二镜组51将人体被摄物反射和激发的可见光和荧光形成的混合光传递至可见光截止滤光镜511上,可见光截止滤光镜511过滤可见光将荧光照射至第二传感器52上,第二传感器52将荧光转为第二图像信号。At the same time, the
S30、采集图像信号;S30, collecting image signals;
通过图像采集模块62采集第一图像信号和第二图像信号,并第一图像信号和第二图像信号传递给图像处理模块63。The first image signal and the second image signal are collected by the
S40、图像处理。S40, image processing.
图像处理模块63获取第一图像信号和第二图像信号后,将第一图像信号转为白光彩色图像,并将第二图像信号转为荧光单色图像,再将白光彩色图像和荧光单色图像经过图像处理输出内窥镜图像。After acquiring the first image signal and the second image signal, the
如图3所示,白光彩色图像和荧光单色图像的图像处理具体包括如下子步骤:As shown in Figure 3, the image processing of the white light color image and the fluorescent monochrome image specifically includes the following sub-steps:
S41、将白光彩色图像转为RGB图像;S41. Convert the white light color image to an RGB image;
由于白光彩色图像为Bayer模式图像,先对白光彩色图像调整白平衡,调整白平衡后转为RGB图像,再对RGB图像进行色彩矫正。Since the white light color image is a Bayer mode image, first adjust the white balance of the white light color image, adjust the white balance and convert it to an RGB image, and then perform color correction on the RGB image.
其中,白光彩色图像调整白平衡为调整R、G、B三个色彩通道比例,以使白色或灰色图中R、G、B分量值相等。Among them, the adjustment of the white balance of the white light color image is to adjust the ratio of the three color channels of R, G, and B, so that the values of the R, G, and B components in the white or gray image are equal.
调整白光彩色图像的白平衡后,使用差值算法将白光彩色图像中每个像素点上的R、G、B分量值补全。即在Bayer模式中的R像素点上补齐G和B分量,G像素点上补齐R和B分量,B像素点上补齐R和G分量。最后输出为RGB三通道彩色图像。After adjusting the white balance of the white light color image, use the difference algorithm to complete the R, G, and B component values of each pixel in the white light color image. That is, the G and B components are filled on the R pixels in the Bayer mode, the R and B components are filled on the G pixels, and the R and G components are filled on the B pixels. The final output is an RGB three-channel color image.
色彩矫正过程中,通过如下色彩矫正矩阵矫正图像的色彩还原度:During the color correction process, the color reproduction degree of the image is corrected by the following color correction matrix:
其中,M为色彩矫正矩阵,为输入,为矫正后的输出。Among them, M is the color correction matrix, for input, is the corrected output.
S42、将RGB图像转为灰度图像;S42. Convert the RGB image to a grayscale image;
将色彩矫正的RGB图像转为灰度图像,其中可采用如下方式取灰度值:Convert a color-corrected RGB image to a grayscale image, where the grayscale values can be taken as follows:
方式一:取R、G、B平均值,即(R+G+B)/3;Method 1: Take the average value of R, G, and B, namely (R+G+B)/3;
方式二:采用ITU-R BT.709中规定的编码方式,Y=0.2125R+0.7153G+0.0721B;Mode 2: adopt the coding mode specified in ITU-R BT.709, Y=0.2125R+0.7153G+0.0721B;
方式三:转换为L*a*b*色彩空间中的L通道。Method 3: Convert to L channel in L*a*b* color space.
S43、图像归一化;S43, image normalization;
将荧光单色图像和灰度图像的灰度信息进行图像归一化处理。The grayscale information of the fluorescent monochrome image and the grayscale image is normalized.
荧光单色图像先进行预处理再进行图像归一化处理,荧光单色图像的预处理包括包含图像去躁、平滑,区域分割和形态学等操作。其中重点在于,对荧光单色图像进行区域分割,将荧光区域从背景区域中提取出来。Fluorescent monochrome images are preprocessed first and then image normalized. The preprocessing of fluorescent monochrome images includes operations such as image de-noising, smoothing, region segmentation and morphology. The key point is to segment the fluorescent monochrome image and extract the fluorescent area from the background area.
图像归一化处理过程中,采用分割提取出的荧光区域与灰度图像进行图像归一化处理。In the process of image normalization, the fluorescence region extracted by segmentation and the grayscale image are used for image normalization.
图像归一化处理可采用如下两种方式进行计算:Image normalization can be calculated in the following two ways:
方式一:method one:
假设U={U1,U2,…,Un}为荧光图像上分割出来的荧光区域,n为荧光区域的数目。荧光图像平均值,其中为第i个荧光区域的区域平均值。设为灰度图像的平均值。设归一化的荧光图像为Ut={W×U1,W×U2,…,W×Un}。Suppose U={U1,U2,...,Un} is the fluorescence area segmented on the fluorescence image, and n is the number of fluorescence areas. Fluorescence image mean, where is the area average of the i-th fluorescent area. Assume is the average value of grayscale images. Assume The normalized fluorescence image is Ut={W×U1,W×U2,…,W×Un}.
方式二:Method two:
与方式一类似,不同点为灰度图平均值计算方式。设XU为U相对应的坐标点集合,NU为所有荧光区域面积和(即U所对应的像素点总数)。灰度图像平均值计算为 Similar to the first method, the difference is the calculation method of the average value of the grayscale image. Let X U be the set of coordinate points corresponding to U, and N U be the area sum of all fluorescent regions (that is, the total number of pixel points corresponding to U). The grayscale image average is calculated as
S44、计算立体视差图;S44. Calculate a stereo disparity map;
使用立体匹配算法获取荧光单色图像匹配到白光彩色图像的立体视差图。Stereoscopic disparity maps of fluorescent monochrome images matched to white light color images were obtained using a stereo matching algorithm.
在使用下面的算法之前,双目摄像模组需要先进行双目矫正(stereorectification)。对用被摄物体,在经过矫正后的左右图像中,将具有相同的水平位置,即y坐标值一样。在进行匹配算法时,只需进行横向搜索即可,从而减少计算量。双目矫正算法为成熟算法,再次不在赘述。在进行双目校准时,可暂时将荧光摄像头中的可见光截止滤光镜换成荧光截止滤光镜,这样方便使用白光图像进行校准。Before using the algorithm below, the binocular camera module needs to perform stereorectification. For the object to be photographed, the left and right images after correction will have the same horizontal position, that is, the same y-coordinate value. When performing the matching algorithm, only a lateral search is required, thereby reducing the amount of computation. The binocular correction algorithm is a mature algorithm and will not be described again. When performing binocular calibration, the visible light cut filter in the fluorescence camera can be temporarily replaced with a fluorescence cut filter, which is convenient for calibration using white light images.
设第一镜头(白光摄像头)为左摄像头,第二镜头(荧光摄像头)为右摄像头。立体匹配算法具有如下两种方式:Let the first lens (white light camera) be the left camera, and the second lens (fluorescence camera) be the right camera. The stereo matching algorithm has the following two ways:
方式一:简单块匹配算法Method 1: Simple block matching algorithm
对于荧光区域中的所有像素点作如下操作:Do the following for all pixels in the fluorescent area:
设当前荧光图像中一个像素坐标为Xi,取其相邻的3x3或5x5区域,并记为Yi。在灰度图上,从坐标Xi开始,向右寻找与Yi最相似的灰度块(块匹配),并记下匹配块在灰度图上的坐标Xm。dXi=Xm-Xi为荧光图像像素Xi所对应的视差。Let the coordinate of a pixel in the current fluorescence image be X i , take its adjacent 3x3 or 5x5 area, and denote it as Y i . On the grayscale image, starting from the coordinate X i , look to the right for the grayscale block most similar to Yi (block matching), and note the coordinate Xm of the matching block on the grayscale image. d Xi =X m -X i is the parallax corresponding to the fluorescent image pixel Xi .
方式二:SGM(Semi-Global Matching)Method 2: SGM (Semi-Global Matching)
方式一尽管算法简单并且运行速度较快,但是会造成比较多的噪音,视差计算不准确。在实际应用中,会较多运用到SGM算法。Method 1 Although the algorithm is simple and runs fast, it will cause more noise and inaccurate disparity calculation. In practical applications, the SGM algorithm will be used more.
Ref:H.Hirschmuller,"Stereo Processing by Semiglobal Matching andMutual Information,"in IEEE Transactions on Pattern Analysis and MachineIntelligence,vol.30,no.2,pp.328-341,Feb.2008,doi:10.1109/TPAMI.2007.1166.Ref:H.Hirschmuller,"Stereo Processing by Semiglobal Matching andMutual Information,"in IEEE Transactions on Pattern Analysis and MachineIntelligence,vol.30,no.2,pp.328-341,Feb.2008,doi:10.1109/TPAMI.2007.1166 .
上述两种方式的目的都是得到每个荧光像素点相对应于灰度图的视差(disparity)值。The purpose of the above two methods is to obtain the disparity value of each fluorescent pixel point corresponding to the grayscale image.
S45、重建荧光单色图像;S45. Reconstruct a fluorescent monochrome image;
根据立体视差图,将荧光单色图像重建到白光彩色图像的坐标系中得到重建荧光单色图像。According to the stereo disparity map, the fluorescent monochromatic image is reconstructed into the coordinate system of the white light color image to obtain the reconstructed fluorescent monochromatic image.
重建荧光单色图像可通过如下两种方式实现:Reconstructing a fluorescent monochromatic image can be achieved in two ways:
方式一:基于像素的(pixel based)Method 1: pixel based
对任一荧光像素Xi,获取其相对应dXi,其对应在灰度图(白光图)上的坐标为Xm=Xi+dXi。For any fluorescent pixel X i , its corresponding d Xi is obtained, and its corresponding coordinate on the grayscale image (white light image) is X m =X i +d Xi .
方式二:基于区域的(region based)Method 2: Region based
对于任一荧光区域Ui,计算其中所有像素对应视差的平均值将荧光区域Ui中所有像素向右平移即可得将Ui重建到在白光图坐标系中。For any fluorescent region U i , calculate the average value of the corresponding disparity of all pixels in it Shift all pixels in the fluorescent region U i to the right That is, U i can be reconstructed into the white light map coordinate system.
S46、图像叠加;S46, image overlay;
将重建荧光单色图像叠加到色彩矫正后的RGB图像上形成内窥镜图像。The reconstructed fluorescent monochromatic image is superimposed on the color-corrected RGB image to form an endoscopic image.
RGB图像在叠加还进行图像增加和图像参数调节处理。其中图像增加包括常见的锐化、去躁、和边缘增强等处理,图像参数调节包括调节图像的亮度、对比度、饱和度等参数。经过图像增加和图像参数调节处理后的RGB图像具有更高的图像质量,以使后续叠加处理得到更清晰的内窥镜图像。The RGB images are also processed for image addition and image parameter adjustment in the superposition. The image addition includes common processes such as sharpening, denoising, and edge enhancement, and the image parameter adjustment includes adjusting the brightness, contrast, saturation and other parameters of the image. The RGB image after image addition and image parameter adjustment processing has higher image quality, so that a clearer endoscopic image can be obtained by subsequent superposition processing.
本实施例提供的内窥镜成像方法,通过前端的双目采集可见光和荧光,可见光和荧光可分别对焦采集,从而保证可见光图像和荧光图像清晰度一致;并将荧光图像和白光图像进行立体视差计算,重建荧光图像到白光坐标系中,能够得到清晰准确的图像。In the endoscope imaging method provided in this embodiment, visible light and fluorescence are collected through binoculars at the front end, and visible light and fluorescence can be collected by focusing separately, so as to ensure the same clarity of visible light image and fluorescence image; Calculate and reconstruct the fluorescence image into the white light coordinate system to obtain a clear and accurate image.
本另一个实施例中,为了进一步提高成像效果,在S44步骤之后还进行荧光强度补偿。由于镜头获取更远距离的荧光区域的荧光能力更弱,导致远离荧光区域的成像后强度偏弱,因此通过对荧光强度补偿,能够使得离镜头距离不同的荧光区域展现出相同的荧光强度。In this another embodiment, in order to further improve the imaging effect, fluorescence intensity compensation is also performed after step S44. Since the fluorescence ability of the lens to capture the fluorescence area at a longer distance is weaker, the intensity of the imaging area far away from the fluorescence area is weaker. Therefore, by compensating the fluorescence intensity, the fluorescence area with different distances from the lens can exhibit the same fluorescence intensity.
荧光强度补偿的原理步骤为:通过立体视差图计算人体内被摄物与摄像头端面的距离,进而得出不同荧光区域的深浅信息,再对距离远的荧光区域的荧光亮度进行补偿。The principle steps of fluorescence intensity compensation are: calculate the distance between the object in the human body and the end face of the camera through the stereo disparity map, and then obtain the depth information of different fluorescence regions, and then compensate the fluorescence brightness of the far-distance fluorescence regions.
深浅信息的计算如下:The depth information is calculated as follows:
设当前荧光图像中一个像素坐标为Xi,其相对应视差为dXi。深度值公式为:Let a pixel coordinate in the current fluorescence image be Xi , and its corresponding parallax be d Xi . The depth value formula is:
其中,f为摄像头焦距,T为左右两个摄像头中心距,这两个值都可在双目矫正结果中获得。Among them, f is the focal length of the camera, and T is the center distance of the left and right cameras, both of which can be obtained in the binocular correction result.
荧光强度补偿具体包括如下两种方式:Fluorescence intensity compensation includes the following two methods:
方式一:method one:
计算每个荧光区域的荧光光平均值,并找出平均值最高的荧光区域;Calculate the average value of fluorescence light for each fluorescence area, and find the fluorescence area with the highest average value;
除平均值最高的荧光区域外的其他荧光区域分别乘一个与之对应的增益系数,使得其他荧光区域与平均值最高的荧光区域的荧光亮度一致。The other fluorescence regions except the fluorescence region with the highest average value are respectively multiplied by a corresponding gain coefficient, so that the fluorescence brightness of the other fluorescence regions and the fluorescence region with the highest average value are consistent.
方式二:Method two:
预先设计计算一条根据人体被摄物与摄像头端面距离远近的荧光补偿增益曲线;Pre-design and calculate a fluorescence compensation gain curve according to the distance between the human subject and the end face of the camera;
在得出不同荧光区域的深浅信息后,每个区域根据补偿增益曲线进行荧光补偿。After obtaining the depth information of different fluorescence regions, each region performs fluorescence compensation according to the compensation gain curve.
其中补偿曲线的计算如下:The compensation curve is calculated as follows:
采用荧光标靶,使用荧光摄像头分别在距离标靶1cm,2cm,...,到20cm处采集荧光图像。取中心32x32区域图像并计算平均值。以距离为横坐标,荧光值为纵坐标,画出荧光值强度随距离变化的衰减曲线。假设以5cm(或任何一个认为合适的距离)为最佳荧光距离,使用5cm相对应的荧光值,归一化衰减曲线,获得随距离变化的荧光强度补偿值。一种实现方式为,设yb为最佳荧光值,补偿曲线bi=yb/yi,i={1,2,...,20},yi为在距离i厘米除测得的荧光值。Using a fluorescent target, a fluorescent camera is used to collect fluorescent images from 1cm, 2cm,..., to 20cm away from the target. Take the central 32x32 area image and calculate the average. Taking the distance as the abscissa and the fluorescence value as the ordinate, draw the attenuation curve of the intensity of the fluorescence value changing with the distance. Assuming that 5cm (or any distance deemed appropriate) is the optimal fluorescence distance, the fluorescence intensity corresponding to 5cm is used to normalize the decay curve to obtain the compensation value of the fluorescence intensity that changes with the distance. An implementation method is to set y b as the optimal fluorescence value, the compensation curve b i =y b /y i , i={1,2,...,20}, and y i is measured by dividing the distance i cm fluorescence value.
荧光标靶为一纯色均匀标靶,为了减少噪音干扰,在各个距离采集图像时,可连续采集多幅图像并取平均,获得平均图像。The fluorescent target is a solid-color uniform target. In order to reduce noise interference, when collecting images at various distances, multiple images can be continuously collected and averaged to obtain an average image.
补偿曲线为一离散曲线,在应用中,可使用插值算法获得当前距离下的补差系数。The compensation curve is a discrete curve. In the application, the interpolation algorithm can be used to obtain the compensation coefficient under the current distance.
补偿曲线应用到上述补偿的具体方法如下:The specific method of applying the compensation curve to the above compensation is as follows:
1)在荧光图像中的任一荧光区域,计算其像素的平局深度值;1) In any fluorescent area in the fluorescent image, calculate the draw depth value of its pixels;
2)使用插值算法在荧光深度补偿曲线中计算相对应的补偿系数α;2) Calculate the corresponding compensation coefficient α in the fluorescence depth compensation curve using an interpolation algorithm;
3)对当前区域中的每个荧光像素乘补偿系数α。3) Multiply the compensation coefficient α for each fluorescent pixel in the current area.
以上应用了具体个例对本发明进行阐述,只是用于帮助理解本发明,并不用以限制本发明。对于本发明所属技术领域的技术人员,依据本发明的思想,还可以做出若干简单推演、变形或替换。The above specific examples are used to illustrate the present invention, which are only used to help understand the present invention, and are not intended to limit the present invention. For those skilled in the art to which the present invention pertains, according to the idea of the present invention, several simple deductions, modifications or substitutions can also be made.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112022109A (en) * | 2020-11-06 | 2020-12-04 | 南京诺源医疗器械有限公司 | Medical fluorescence imaging image data acquisition system and acquisition method thereof |
| CN112807096A (en) * | 2021-02-23 | 2021-05-18 | 珠海维尔康生物科技有限公司 | Novel optical design fluorescent camera and imaging method thereof |
| CN113229783A (en) * | 2021-05-13 | 2021-08-10 | 珠海维尔康生物科技有限公司 | Image acquisition system, method and device for fluorescence imaging |
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| CN115153399A (en) * | 2022-09-05 | 2022-10-11 | 浙江华诺康科技有限公司 | endoscope system |
| CN115316919A (en) * | 2022-09-15 | 2022-11-11 | 广东欧谱曼迪科技有限公司 | Dual-camera 3D optical fluorescence endoscope camera shooting system and method and electronic equipment |
| CN117281451A (en) * | 2023-11-14 | 2023-12-26 | 杭州显微智能科技有限公司 | 3D endoscope fluorescence imaging system and imaging method thereof |
| CN117398042A (en) * | 2023-12-14 | 2024-01-16 | 深圳市博盛医疗科技有限公司 | A 3D endoscope system and imaging method for AI-assisted detection |
Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005319212A (en) * | 2004-05-11 | 2005-11-17 | Pentax Corp | Fluorescence endoscope device |
| JP2007014633A (en) * | 2005-07-08 | 2007-01-25 | Pentax Corp | Fluorescence observation apparatus and light source apparatus |
| CN102770062A (en) * | 2010-03-03 | 2012-11-07 | 奥林巴斯株式会社 | Fluorescence observation device |
| CN102781305A (en) * | 2010-03-09 | 2012-11-14 | 奥林巴斯株式会社 | Fluorescent endoscope device |
| CN102802493A (en) * | 2010-03-23 | 2012-11-28 | 奥林巴斯株式会社 | Fluorescence imaging device |
| CN103732117A (en) * | 2011-12-07 | 2014-04-16 | 奥林巴斯医疗株式会社 | Endoscope device |
| US20140128680A1 (en) * | 2011-07-22 | 2014-05-08 | Olympus Corporation | Fluorescence endoscope apparatus |
| US20140161369A1 (en) * | 2011-08-18 | 2014-06-12 | Olympus Corporation | Fluoroscopy apparatus, fluoroscopy system, and fluorescence-image processing method |
| CN104619236A (en) * | 2013-08-01 | 2015-05-13 | 奥林巴斯医疗株式会社 | Imaging device |
| US20150276602A1 (en) * | 2012-12-13 | 2015-10-01 | Olympus Corporation | Fluorescence observation apparatus |
| CN105934191A (en) * | 2014-01-31 | 2016-09-07 | 奥林巴斯株式会社 | Fluorescence viewer |
| CN107072520A (en) * | 2014-08-29 | 2017-08-18 | 莱英罗斯有限责任公司 | Endoscopic system for parallel imaging at visible and infrared wavelengths |
| CN107105977A (en) * | 2015-01-21 | 2017-08-29 | 奥林巴斯株式会社 | Endoscope apparatus |
| CN107440669A (en) * | 2017-08-25 | 2017-12-08 | 北京数字精准医疗科技有限公司 | A kind of binary channels spy imaging system |
| CN107920726A (en) * | 2015-09-07 | 2018-04-17 | 索尼公司 | Image pick up equipment, MIcrosope image picking up system and endoscopic images picking up system |
| CN108095701A (en) * | 2018-04-25 | 2018-06-01 | 上海凯利泰医疗科技股份有限公司 | Image processing system, fluorescence endoscope illumination imaging device and imaging method |
| CN108577791A (en) * | 2018-05-16 | 2018-09-28 | 广东欧谱曼迪科技有限公司 | A fluorescence navigation endoscope system and method for enhancing the sensitivity of fluorescence imaging |
| CN109744986A (en) * | 2019-01-31 | 2019-05-14 | 广东欧谱曼迪科技有限公司 | A kind of exposure feedback type fluorescence navigation endoscope system and image processing self-adjustment method |
| CN109758094A (en) * | 2019-01-31 | 2019-05-17 | 广东欧谱曼迪科技有限公司 | A focusing feedback type fluorescence navigation endoscope system and image self-processing method |
| CN210228085U (en) * | 2019-01-31 | 2020-04-03 | 广东欧谱曼迪科技有限公司 | A focusing feedback type fluorescence navigation endoscope system based on image self-processing |
| US20200337540A1 (en) * | 2017-11-06 | 2020-10-29 | Olympus Corporation | Endoscope system |
| CN212326346U (en) * | 2020-07-21 | 2021-01-12 | 深圳市博盛医疗科技有限公司 | Endoscope imaging system |
-
2020
- 2020-07-21 CN CN202010704320.0A patent/CN111803013A/en active Pending
Patent Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005319212A (en) * | 2004-05-11 | 2005-11-17 | Pentax Corp | Fluorescence endoscope device |
| JP2007014633A (en) * | 2005-07-08 | 2007-01-25 | Pentax Corp | Fluorescence observation apparatus and light source apparatus |
| CN102770062A (en) * | 2010-03-03 | 2012-11-07 | 奥林巴斯株式会社 | Fluorescence observation device |
| CN102781305A (en) * | 2010-03-09 | 2012-11-14 | 奥林巴斯株式会社 | Fluorescent endoscope device |
| CN102802493A (en) * | 2010-03-23 | 2012-11-28 | 奥林巴斯株式会社 | Fluorescence imaging device |
| US20140128680A1 (en) * | 2011-07-22 | 2014-05-08 | Olympus Corporation | Fluorescence endoscope apparatus |
| US20140161369A1 (en) * | 2011-08-18 | 2014-06-12 | Olympus Corporation | Fluoroscopy apparatus, fluoroscopy system, and fluorescence-image processing method |
| CN103732117A (en) * | 2011-12-07 | 2014-04-16 | 奥林巴斯医疗株式会社 | Endoscope device |
| US20150276602A1 (en) * | 2012-12-13 | 2015-10-01 | Olympus Corporation | Fluorescence observation apparatus |
| CN104619236A (en) * | 2013-08-01 | 2015-05-13 | 奥林巴斯医疗株式会社 | Imaging device |
| CN105934191A (en) * | 2014-01-31 | 2016-09-07 | 奥林巴斯株式会社 | Fluorescence viewer |
| CN107072520A (en) * | 2014-08-29 | 2017-08-18 | 莱英罗斯有限责任公司 | Endoscopic system for parallel imaging at visible and infrared wavelengths |
| CN107105977A (en) * | 2015-01-21 | 2017-08-29 | 奥林巴斯株式会社 | Endoscope apparatus |
| CN107920726A (en) * | 2015-09-07 | 2018-04-17 | 索尼公司 | Image pick up equipment, MIcrosope image picking up system and endoscopic images picking up system |
| CN107440669A (en) * | 2017-08-25 | 2017-12-08 | 北京数字精准医疗科技有限公司 | A kind of binary channels spy imaging system |
| US20200337540A1 (en) * | 2017-11-06 | 2020-10-29 | Olympus Corporation | Endoscope system |
| CN108095701A (en) * | 2018-04-25 | 2018-06-01 | 上海凯利泰医疗科技股份有限公司 | Image processing system, fluorescence endoscope illumination imaging device and imaging method |
| CN108577791A (en) * | 2018-05-16 | 2018-09-28 | 广东欧谱曼迪科技有限公司 | A fluorescence navigation endoscope system and method for enhancing the sensitivity of fluorescence imaging |
| CN109744986A (en) * | 2019-01-31 | 2019-05-14 | 广东欧谱曼迪科技有限公司 | A kind of exposure feedback type fluorescence navigation endoscope system and image processing self-adjustment method |
| CN109758094A (en) * | 2019-01-31 | 2019-05-17 | 广东欧谱曼迪科技有限公司 | A focusing feedback type fluorescence navigation endoscope system and image self-processing method |
| CN210228085U (en) * | 2019-01-31 | 2020-04-03 | 广东欧谱曼迪科技有限公司 | A focusing feedback type fluorescence navigation endoscope system based on image self-processing |
| CN212326346U (en) * | 2020-07-21 | 2021-01-12 | 深圳市博盛医疗科技有限公司 | Endoscope imaging system |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112022109A (en) * | 2020-11-06 | 2020-12-04 | 南京诺源医疗器械有限公司 | Medical fluorescence imaging image data acquisition system and acquisition method thereof |
| WO2022105902A1 (en) * | 2020-11-20 | 2022-05-27 | 上海微创医疗机器人(集团)股份有限公司 | Fluorescence endoscope system, control method and storage medium |
| CN112807096A (en) * | 2021-02-23 | 2021-05-18 | 珠海维尔康生物科技有限公司 | Novel optical design fluorescent camera and imaging method thereof |
| CN113229783A (en) * | 2021-05-13 | 2021-08-10 | 珠海维尔康生物科技有限公司 | Image acquisition system, method and device for fluorescence imaging |
| CN113367638A (en) * | 2021-05-14 | 2021-09-10 | 广东欧谱曼迪科技有限公司 | Method and device for acquiring high-precision three-dimensional fluorescence image, storage medium and terminal |
| CN113367638B (en) * | 2021-05-14 | 2023-01-03 | 广东欧谱曼迪科技有限公司 | Method and device for acquiring high-precision three-dimensional fluorescence image, storage medium and terminal |
| CN113421234A (en) * | 2021-06-17 | 2021-09-21 | 韩从辉 | Mathematical algorithm microscopic bladder endoscope imaging system and image processing method |
| CN113504636B (en) * | 2021-08-03 | 2022-03-29 | 嘉兴智瞳科技有限公司 | Imaging system with 3D imaging and fluorescence imaging functions |
| CN113504636A (en) * | 2021-08-03 | 2021-10-15 | 嘉兴智瞳科技有限公司 | Imaging system with 3D imaging and fluorescence imaging functions |
| CN114081424A (en) * | 2021-10-08 | 2022-02-25 | 深圳迈瑞生物医疗电子股份有限公司 | Endoscopic imaging system and control method thereof |
| CN115153399A (en) * | 2022-09-05 | 2022-10-11 | 浙江华诺康科技有限公司 | endoscope system |
| CN115316919A (en) * | 2022-09-15 | 2022-11-11 | 广东欧谱曼迪科技有限公司 | Dual-camera 3D optical fluorescence endoscope camera shooting system and method and electronic equipment |
| CN115316919B (en) * | 2022-09-15 | 2023-06-30 | 广东欧谱曼迪科技有限公司 | Dual-camera 3D optical fluorescence endoscope camera system, method and electronic device |
| CN117281451A (en) * | 2023-11-14 | 2023-12-26 | 杭州显微智能科技有限公司 | 3D endoscope fluorescence imaging system and imaging method thereof |
| CN117398042A (en) * | 2023-12-14 | 2024-01-16 | 深圳市博盛医疗科技有限公司 | A 3D endoscope system and imaging method for AI-assisted detection |
| CN117398042B (en) * | 2023-12-14 | 2024-03-19 | 深圳市博盛医疗科技有限公司 | AI-assisted detection 3D endoscope system and imaging method |
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