[go: up one dir, main page]

Tsai et al., 2003 - Google Patents

A shape-based approach to the segmentation of medical imagery using level sets

Tsai et al., 2003

View PDF
Document ID
1197103888891914349
Author
Tsai A
Yezzi A
Wells W
Tempany C
Tucker D
Fan A
Grimson W
Willsky A
Publication year
Publication venue
IEEE transactions on medical imaging

External Links

Snippet

We propose a shape-based approach to curve evolution for the segmentation of medical images containing known object types. In particular, motivated by the work of Leventon, Grimson, and Faugeras (2000), we derive a parametric model for an implicit representation …
Continue reading at lccv.ece.gatech.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20116Active contour; Active surface; Snakes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20092Interactive image processing based on input by user
    • G06T2207/20101Interactive definition of point of interest, landmark or seed
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • G06K2209/051Recognition of patterns in medical or anatomical images of internal organs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric 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
    • G06T3/0081Geometric 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 by elastic snapping
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects

Similar Documents

Publication Publication Date Title
Tsai et al. A shape-based approach to the segmentation of medical imagery using level sets
Tsai et al. Model-based curve evolution technique for image segmentation
Tsai et al. Mutual information in coupled multi-shape model for medical image segmentation
EP0602730B1 (en) Registration of Volumetric images which are relatively elastically deformed by matching surfaces
Shen et al. Active volume models for medical image segmentation
Kelemen et al. Three-dimensional model-based segmentation of brain MRI
Chen et al. Segmenting the prostate and rectum in CT imagery using anatomical constraints
Ghosh et al. Incorporating priors for medical image segmentation using a genetic algorithm
Kurkure et al. Localization and segmentation of left ventricle in cardiac cine-MR images
EP1899917B1 (en) Method and apparatus for atlas-assisted interpretation of magnetic resonance diffusion and prefusion images
Yan et al. Medical image segmentation using minimal path deformable models with implicit shape priors
Zheng et al. Lung nodule growth analysis from 3D CT data with a coupled segmentation and registration framework
Wimmer et al. Two-stage semi-automatic organ segmentation framework using radial basis functions and level sets
Florin et al. Liver segmentation using sparse 3D prior models with optimal data support
US7773806B2 (en) Efficient kernel density estimation of shape and intensity priors for level set segmentation
Li et al. Automatic generation of object shape models and their application to tomographic image segmentation
Farag Variational approach for small-size lung nodule segmentation
Yang et al. 3D image segmentation of deformable objects with shape-appearance joint prior models
Yao et al. Statistical location model for abdominal organ localization
Gibou et al. Partial differential equations-based segmentation for radiotherapy treatment planning
Zhu et al. Modified fast marching and level set method for medical image segmentation
Heimann et al. Model-based segmentation
Wu et al. Learning best features and deformation statistics for hierarchical registration of MR brain images
Skalski et al. Using ASM in CT data segmentaion for prostate radiotherapy
Erdt et al. Computer aided segmentation of kidneys using locally shape constrained deformable models on CT images