Pitiot et al., 2004 - Google Patents
Expert knowledge-guided segmentation system for brain MRIPitiot et al., 2004
- Document ID
- 9869780366160959996
- Author
- Pitiot A
- Delingette H
- Thompson P
- Ayache N
- Publication year
- Publication venue
- NeuroImage
External Links
Snippet
We describe an automated 3-D segmentation system for in vivo brain magnetic resonance images (MRI). Our segmentation method combines a variety of filtering, segmentation, and registration techniques and makes maximum use of the available a priori biomedical …
- 230000011218 segmentation 0 title abstract description 94
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
- 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
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/05—Recognition of patterns in medical or anatomical images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Pitiot et al. | Expert knowledge-guided segmentation system for brain MRI | |
| Shattuck et al. | BrainSuite: an automated cortical surface identification tool | |
| Rohlfing et al. | Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains | |
| Pitiot et al. | Adaptive elastic segmentation of brain MRI via shape-model-guided evolutionary programming | |
| Doran et al. | Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter? | |
| Zhu et al. | Automatic delineation of the myocardial wall from CT images via shape segmentation and variational region growing | |
| Kirschner | The probabilistic active shape model: from model construction to flexible medical image segmentation | |
| Shattuck et al. | Brainsuite: An automated cortical surface identification tool | |
| Ng et al. | Shape analysis for brain structures | |
| Zhang et al. | 3D anatomical shape atlas construction using mesh quality preserved deformable models | |
| Davatzikos | Measuring biological shape using geometry-based shape transformations | |
| Zhu et al. | A complete system for automatic extraction of left ventricular myocardium from CT images using shape segmentation and contour evolution | |
| Studholme et al. | Multiscale image and multiscale deformation of brain anatomy for building average brain atlases | |
| Devi et al. | MRI brain image-based segmentation and classification with optimization using metaheuristic deep learning model in Detection of Alzheimer's disease. | |
| Freiman et al. | A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration | |
| Rousseau et al. | Human brain labeling using image similarities | |
| Prasad et al. | Skull-stripping with machine learning deformable organisms | |
| Pitiot et al. | Automated image segmentation: Issues and applications | |
| Pitiot et al. | Expert knowledge guided segmentation system for brain MRI | |
| Pirnog | Articular cartilage segmentation and tracking in sequential MR images of the knee | |
| Al-Waeli | An automated system for the classification and segmentation of brain tumours in MRI images based on the modified grey level co-occurrence matrix | |
| Davatzikos et al. | Applications of wavelets in morphometric analysis of medical images | |
| Baudin | Graph-based segmentation of skeletal striated muscles in NMR images | |
| Xue et al. | Pice: prior information constrained evolution for 3-d and 4-d brain tumor segmentation | |
| Pizer et al. | Segmentation by posterior optimization of m-reps: Strategy and results |