[go: up one dir, main page]

Sato et al., 2000 - Google Patents

Tissue classification based on 3D local intensity structures for volume rendering

Sato et al., 2000

Document ID
11265168496662724064
Author
Sato Y
Westin C
Bhalerao A
Nakajima S
Shiraga N
Tamura S
Kikinis R
Publication year
Publication venue
IEEE Transactions on visualization and computer graphics

External Links

Snippet

This paper describes a novel approach to tissue classification using three-dimensional (3D) derivative features in the volume rendering pipeline. In conventional tissue classification for a scalar volume, tissues of interest are characterized by an opacity transfer function defined …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20156—Automatic seed setting
    • 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
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]
    • 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
    • G06T2207/10024—Color image
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • 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
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics

Similar Documents

Publication Publication Date Title
Sato et al. Tissue classification based on 3D local intensity structures for volume rendering
Sato et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
Nakayama et al. Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms
US6909794B2 (en) Automated registration of 3-D medical scans of similar anatomical structures
US8705821B2 (en) Method and apparatus for multimodal visualization of volume data sets
US10297022B2 (en) Method and system for analysis of volumetric data
Kaur et al. A comprehensive review of denoising techniques for abdominal CT images
Dubey et al. Evaluation of three methods for MRI brain tumor segmentation
US7209581B2 (en) System and method for ground glass nodule (GGN) segmentation
Deng et al. Mammogram enhancement using intuitionistic fuzzy sets
US7355605B2 (en) Method and system for automatic orientation of local visualization techniques for vessel structures
Yin et al. Tensor based multichannel reconstruction for breast tumours identification from DCE-MRIs
Joshi et al. Effective visualization of complex vascular structures using a non-parametric vessel detection method
US7684602B2 (en) Method and system for local visualization for tubular structures
Bhatia et al. A proposed quantitative approach to classify brain MRI
Bandyopadhyay Pre-processing and segmentation of brain image for tumor detection
Li et al. Image segmentation and 3D visualization for MRI mammography
Kim 3D volume extraction of cerebrovascular structure on brain magnetic resonance angiography data sets
WO2006055031A2 (en) Method and system for local visualization for tubular structures
Zhao et al. Enhancement filter for computer-aided detection of pulmonary nodules on thoracic CT images
Aydogan et al. 2D texture based classification, segmentation and 3D orientation estimation of tissues using DT-CWT feature extraction methods
Laidlaw et al. Partial volume segmentation with voxel histograms
Zhang et al. 3D-visualization of CT images under IDL environment
Bator et al. Finding regions of interest for cancerous masses enhanced by elimination of linear structures and considerations on detection correctness measures in mammography
Xie Design and Development of Medical Image Processing Experiment System Based on IDL Language.