Ahmad et al., 2015 - Google Patents
Deformable image registration based on elastodynamicsAhmad et al., 2015
- Document ID
- 13587763904918091042
- Author
- Ahmad S
- Khan M
- Publication year
- Publication venue
- Machine Vision and Applications
External Links
Snippet
This paper presents a novel method for 2D inter-subject non-rigid image registration. It is motivated by the ideas derived from elastodynamics which is the subclass of linear elastic theory. We propose to model the non-rigid deformations as elastic waves which are …
- 238000000034 method 0 abstract description 39
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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20128—Atlas-based segmentation
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
-
- 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
- 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
- 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
- G06T3/0081—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 by elastic snapping
-
- 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
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
-
- 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
- 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
- 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
-
- 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
- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
-
- 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
- G06K2209/051—Recognition of patterns in medical or anatomical images of internal organs
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9561004B2 (en) | Automated 3-D orthopedic assessments | |
Kroon et al. | MRI modalitiy transformation in demon registration | |
Gooya et al. | Deformable registration of glioma images using EM algorithm and diffusion reaction modeling | |
US8666128B2 (en) | Methods, systems, and computer readable media for mapping regions in a model of an object comprising an anatomical structure from one image data set to images used in a diagnostic or therapeutic intervention | |
Peterlik et al. | Fast elastic registration of soft tissues under large deformations | |
Commowick et al. | An efficient locally affine framework for the smooth registration of anatomical structures | |
Zacharaki et al. | Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth | |
Ibragimov et al. | Segmentation of pathological structures by landmark-assisted deformable models | |
Mohanty et al. | Toward computing cross-modality symmetric non-rigid medical image registration | |
Romaguera et al. | Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks | |
Lee et al. | Segmentation of interest region in medical volume images using geometric deformable model | |
US10034610B2 (en) | System and method for registration of brain images | |
Khallaghi et al. | Statistical biomechanical surface registration: application to MR-TRUS fusion for prostate interventions | |
Fernandez-de-Manuel et al. | Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI | |
Karaçali | Information theoretic deformable registration using local image information | |
Tanner et al. | In vivo validation of spatio-temporal liver motion prediction from motion tracked on MR thermometry images | |
Foruzan et al. | Multimodality liver registration of Open-MR and CT scans | |
Yu et al. | Accelerated gradient-based free form deformable registration for online adaptive radiotherapy | |
Bhattacharjee et al. | Evaluation of a learning-based deformable registration method on abdominal CT images | |
Onofrey et al. | Segmenting the brain surface from CT images with artifacts using locally oriented appearance and dictionary learning | |
Li et al. | Deformable registration using edge‐preserving scale space for adaptive image‐guided radiation therapy | |
Ahmad et al. | Deformable image registration based on elastodynamics | |
Xia et al. | A fast deformable registration method for 4D lung CT in hybrid framework | |
Zhang et al. | Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation | |
du Bois d’Aische et al. | Estimation of the deformations induced by articulated bodies: Registration of the spinal column |