Nothing Special   »   [go: up one dir, main page]

Garlapati et al., 2015 - Google Patents

Towards measuring neuroimage misalignment

Garlapati et al., 2015

View HTML
Document ID
17687516043565400061
Author
Garlapati R
Mostayed A
Joldes G
Wittek A
Doyle B
Miller K
Publication year
Publication venue
Computers in biology and medicine

External Links

Snippet

To enhance neuro-navigation, high quality pre-operative images must be registered onto intra-operative configuration of the brain. Therefore evaluation of the degree to which structures may remain misaligned after registration is critically important. We consider two …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (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
    • G06T2207/10—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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30172—Centreline of tubular or elongated structure
    • 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
    • G06T2207/10116—X-ray image
    • 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
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • 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

Similar Documents

Publication Publication Date Title
Ather et al. Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications
Andronache et al. Non-rigid registration of multi-modal images using both mutual information and cross-correlation
Murphy et al. Semi-automatic construction of reference standards for evaluation of image registration
Chen et al. Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation
Rey et al. Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis
Wu et al. Automated chest wall line detection for whole‐breast segmentation in sagittal breast MR images
Khan et al. Optimal weights for local multi-atlas fusion using supervised learning and dynamic information (SuperDyn): validation on hippocampus segmentation
US10083506B2 (en) Whole body image registration method and method for analyzing images thereof
US20080298657A1 (en) Computer-Aided Method for Detection of Interval Changes in Successive Whole-Body Bone Scans and Related Computer Program Program Product and System
US9305358B2 (en) Medical image processing
Ruiz-España et al. Semiautomatic computer-aided classification of degenerative lumbar spine disease in magnetic resonance imaging
Ou et al. Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy
Wu et al. Registration of longitudinal brain image sequences with implicit template and spatial–temporal heuristics
Calmon et al. Automatic measurement of changes in brain volume on consecutive 3D MR images by segmentation propagation
Kim et al. Hippocampal shape modeling based on a progressive template surface deformation and its verification
CN105684040B (en) Method of supporting tumor response measurement
Stoel et al. Automated brain computed tomographic densitometry of early ischemic changes in acute stroke
Castro-Mateos et al. 3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images
Li et al. LinSEM: linearizing segmentation evaluation metrics for medical images
Garlapati et al. Towards measuring neuroimage misalignment
CN115861656A (en) Method, apparatus and system for automatically processing medical images to output an alert
Włodarczyk et al. Fast automated segmentation of wrist bones in magnetic resonance images
US20110211743A1 (en) Change Assessment Method
JP6676758B2 (en) Determining alignment accuracy
Said et al. Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy: preliminary results