[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Avila-Montes et al., 2013 - Google Patents

Segmentation of the thoracic aorta in noncontrast cardiac CT images

Avila-Montes et al., 2013

View PDF
Document ID
1339915589501046613
Author
Avila-Montes O
Kurkure U
Nakazato R
Berman D
Dey D
Kakadiaris I
Publication year
Publication venue
IEEE journal of biomedical and health informatics

External Links

Snippet

Studies have shown that aortic calcification is associated with cardiovascular disease. In this study, a method for localization, centerline extraction, and segmentation of the thoracic aorta in noncontrast cardiac-computed tomography (CT) images, toward the detection of aortic …
Continue reading at scholar.archive.org (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
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • 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
    • 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
    • G06T2207/10104Positron emission tomography [PET]
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20076Probabilistic image processing
    • 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
    • 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
    • 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
    • G06T3/0031Geometric 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
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane
    • 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

Similar Documents

Publication Publication Date Title
Moghbel et al. Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Liu et al. Anatomy-aided deep learning for medical image segmentation: a review
Cerrolaza et al. Computational anatomy for multi-organ analysis in medical imaging: A review
Erdt et al. Regmentation: A new view of image segmentation and registration
Avila-Montes et al. Segmentation of the thoracic aorta in noncontrast cardiac CT images
EP1851722B1 (en) Image processing device and method
US9495752B2 (en) Multi-bone segmentation for 3D computed tomography
Baiker et al. Atlas-based whole-body segmentation of mice from low-contrast Micro-CT data
US8218845B2 (en) Dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging based on the detection of bounding boxes, anatomical landmarks, and ribs of a pulmonary artery
Ibragimov et al. Segmentation of pathological structures by landmark-assisted deformable models
US8478044B2 (en) System and method for image segmentation by optimizing weighted curvature
Kim et al. Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks
Dakua Performance divergence with data discrepancy: a review
Arezoomand et al. A 3D active model framework for segmentation of proximal femur in MR images
Vivanti et al. Automatic lung tumor segmentation with leaks removal in follow-up CT studies
Khandelwal et al. Spine and individual vertebrae segmentation in computed tomography images using geometric flows and shape priors
Sarmah et al. Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images
Freiman et al. Vessels-cut: a graph based approach to patient-specific carotid arteries modeling
Gao et al. Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy
Szmul et al. Supervoxels for graph cuts-based deformable image registration using guided image filtering
Brosch et al. Model-based segmentation using neural network-based boundary detectors: Application to prostate and heart segmentation in MR images
Zhao et al. Robust shape-constrained active contour for whole heart segmentation in 3-D CT images for radiotherapy planning
Gómez Betancur et al. Airway segmentation, skeletonization, and tree matching to improve registration of 3D CT images with large opacities in the lungs
Zhou et al. A probabilistic framework for multiple organ segmentation using learning methods and level sets
Kronman et al. Anatomical structures segmentation by spherical 3D ray casting and gradient domain editing