[go: up one dir, main page]

Abdolali et al., 2014 - Google Patents

Mandibular canal segmentation using 3D Active Appearance Models and shape context registration

Abdolali et al., 2014

Document ID
13007931913966536076
Author
Abdolali F
Zoroofi R
Publication year
Publication venue
2014 21th Iranian Conference on Biomedical Engineering (ICBME)

External Links

Snippet

This paper presents a method for automatic segmentation of mandibular canal from CBCT (cone beam CT) images based on 3D Active Appearance Models (AAM) and shape context registration. The proposed algorithm consists of two stages: Firstly, Shape Context based …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; 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
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T2207/10104—Positron emission tomography [PET]
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T2207/20092—Interactive image processing based on input by user
    • G—PHYSICS
    • G06—COMPUTING; 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; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping

Similar Documents

Publication Publication Date Title
JP7493464B2 (en) Automated canonical pose determination for 3D objects and 3D object registration using deep learning
US11645746B2 (en) Dental image segmentation and registration with machine learning
Abdolali et al. Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching
Kroon Segmentation of the mandibular canal in cone-beam CT data.
Han et al. CRUISE: cortical reconstruction using implicit surface evolution
JP2020513869A (en) How to restore a skull
WO2018120644A1 (en) Blood vessel extraction method and system
Chang et al. 3D segmentation of maxilla in cone-beam computed tomography imaging using base invariant wavelet active shape model on customized two-manifold topology
Abdolali et al. Mandibular canal segmentation using 3D Active Appearance Models and shape context registration
Mortaheb et al. Automatic dental CT image segmentation using mean shift algorithm
Nysjö BoneSplit-a 3D texture painting tool for interactive bone separation in CT images
Hu et al. Teeth segmentation using dental CT data
Starzynski et al. Morphing algorithm for building individualized 3D skeleton model from CT data
Zhang et al. An effective approach of teeth segmentation within the 3d cone beam computed tomography image based on deformable surface model
Subburaj et al. High resolution medical models and geometric reasoning starting from CT/MR images
Huang et al. Automatic segmentation of the body and the spinal canal in CT images based on a priori information
Chougule et al. Patient specific bone modeling for minimum invasive spine surgery
Erdt et al. Computer aided segmentation of kidneys using locally shape constrained deformable models on CT images
Chougule et al. Conversions of CT scan images into 3D point cloud data for the development of 3D solid model using B-Rep scheme
Choi et al. Automatic detection of inferior alveolar nerve canal from cone-beam computed tomography images for dental surgery planning
Song et al. Confidence Surface-Based Fine Matching Between Dental Cone-Beam Computed Tomography Scan and Optical Surface Scan Data
Zhang et al. Molar axis estimation from computed tomography images
Abdallah Segmentation of salivary glands in nuclear medicine images using edge detection tools
Soltaninejad et al. Automatic crown surface reconstruction using tooth statistical model for dental prosthesis planning
Jiang et al. Dental pulp segmentation from cone-beam computed tomography images