WO2010063010A3 - System for texture visualization and image analysis to differentiate between malignant and benign lesions - Google Patents
System for texture visualization and image analysis to differentiate between malignant and benign lesions Download PDFInfo
- Publication number
- WO2010063010A3 WO2010063010A3 PCT/US2009/066022 US2009066022W WO2010063010A3 WO 2010063010 A3 WO2010063010 A3 WO 2010063010A3 US 2009066022 W US2009066022 W US 2009066022W WO 2010063010 A3 WO2010063010 A3 WO 2010063010A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- objects
- images
- malignant
- differentiate
- image analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
- G06T7/41—Analysis of texture based on statistical description of texture
- G06T7/44—Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30068—Mammography; Breast
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
A system and method for the analysis and visualization of normal and abnormal tissues, objects and structures in digital images generated by medical image sources is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical, chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects, such as cancerous growths, that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US11802708P | 2008-11-26 | 2008-11-26 | |
| US61/118,027 | 2008-11-26 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2010063010A2 WO2010063010A2 (en) | 2010-06-03 |
| WO2010063010A3 true WO2010063010A3 (en) | 2010-07-22 |
Family
ID=42226386
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2009/066022 Ceased WO2010063010A2 (en) | 2008-11-26 | 2009-11-27 | System and method for texture visualization and image analysis to differentiate between malignant and benign lesions |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2010063010A2 (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5750381B2 (en) * | 2012-02-13 | 2015-07-22 | 株式会社日立製作所 | Region extraction processing system |
| WO2018073784A1 (en) | 2016-10-20 | 2018-04-26 | Optina Diagnostics, Inc. | Method and system for detecting an anomaly within a biological tissue |
| US20200321130A1 (en) * | 2017-11-13 | 2020-10-08 | The Trustees Of Columbia University In The City Of New York | System, method and computer-accessible medium for determining breast cancer risk |
| CN112927179A (en) * | 2019-11-21 | 2021-06-08 | 粘晓菁 | Intelligent analysis method for liver tumor |
| RU2734575C1 (en) * | 2020-04-17 | 2020-10-20 | Общество с ограниченной ответственностью "АЙРИМ" (ООО "АЙРИМ") | Method and system for identifying new growths on x-ray images |
| CN112734723B (en) * | 2021-01-08 | 2023-06-30 | 温州医科大学 | Multi-source data-oriented breast tumor image classification prediction method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070014452A1 (en) * | 2003-12-01 | 2007-01-18 | Mitta Suresh | Method and system for image processing and assessment of a state of a heart |
| US20080159605A1 (en) * | 2005-03-15 | 2008-07-03 | Ramsay Thomas E | Method for characterizing an image source utilizing predetermined color spaces |
-
2009
- 2009-11-27 WO PCT/US2009/066022 patent/WO2010063010A2/en not_active Ceased
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070014452A1 (en) * | 2003-12-01 | 2007-01-18 | Mitta Suresh | Method and system for image processing and assessment of a state of a heart |
| US20080159605A1 (en) * | 2005-03-15 | 2008-07-03 | Ramsay Thomas E | Method for characterizing an image source utilizing predetermined color spaces |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2010063010A2 (en) | 2010-06-03 |
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