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

Wang et al., 2011 - Google Patents

Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction

Wang et al., 2011

Document ID
8798535031912084718
Author
Wang X
Fang C
Xia Y
Feng D
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

Combined positron emission tomography (PET) and computed tomography (CT) scanning provides superior access to both functional information and the anatomical structures of the airway tree. However, due to the complex anatomical structures, limited image resolutions …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G06T2207/30Subject 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular
    • 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
    • G06T2207/10081Computed x-ray tomography [CT]
    • 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
    • G06T2207/10Image 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30172Centreline of tubular or elongated structure
    • 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
    • G06T2207/20112Image 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
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • 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

Similar Documents

Publication Publication Date Title
Zreik et al. Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
Aykac et al. Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images
Van Rikxoort et al. Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review
Bauer et al. Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts
CN106108925B (en) Method and system for whole body bone removal and vessel visualization in medical images
JP6877868B2 (en) Image processing equipment, image processing method and image processing program
US7822461B2 (en) System and method for endoscopic path planning
Sluimer et al. Computer analysis of computed tomography scans of the lung: a survey
Zhou et al. Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images
Doel et al. Review of automatic pulmonary lobe segmentation methods from CT
US11348250B2 (en) Image analysis system for identifying lung features
Zheng et al. Multi-part modeling and segmentation of left atrium in C-arm CT for image-guided ablation of atrial fibrillation
Doel et al. Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines
Leventić et al. Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
Xiao et al. Pulmonary fissure detection in CT images using a derivative of stick filter
Saien et al. Refinement of lung nodule candidates based on local geometric shape analysis and Laplacian of Gaussian kernels
Jimenez-Carretero et al. A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images
Pu et al. Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans
Alirr et al. Survey on liver tumour resection planning system: steps, techniques, and parameters
Gu et al. Segmentation of coronary arteries images using global feature embedded network with active contour loss
Iwao et al. Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images
Gao et al. Joint coronary centerline extraction and lumen segmentation from ccta using cnntracker and vascular graph convolutional network
Guo et al. Coarse-to-fine airway segmentation using multi information fusion network and CNN-based region growing
Peng et al. Pulmonary lobe segmentation in CT images based on lung anatomy knowledge
Rosell et al. A three-stage method for the 3D reconstruction of the tracheobronchial tree from CT scans