[go: up one dir, main page]

Rocha et al., 2012 - Google Patents

Automatic segmentation of carotid B-mode images using fuzzy classification

Rocha et al., 2012

View PDF
Document ID
481322265230106513
Author
Rocha R
Silva J
Campilho A
Publication year
Publication venue
Medical & biological engineering & computing

External Links

Snippet

This paper presents a new method for the automatic segmentation of the common carotid artery in B-mode images. This method uses the instantaneous coefficient of variation edge detector, fuzzy classification of edges and dynamic programming. Several discriminating …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • 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
    • G06T2207/20116—Active contour; Active surface; Snakes
    • 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
    • G06T2207/10132—Ultrasound 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
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • 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
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • 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

Similar Documents

Publication Publication Date Title
Rocha et al. Automatic segmentation of carotid B-mode images using fuzzy classification
Loizou A review of ultrasound common carotid artery image and video segmentation techniques
Loizou et al. Snakes based segmentation of the common carotid artery intima media
Acharya et al. Atherosclerotic risk stratification strategy for carotid arteries using texture-based features
Rocha et al. Segmentation of the carotid intima-media region in B-mode ultrasound images
Yin et al. Accurate image analysis of the retina using hessian matrix and binarisation of thresholded entropy with application of texture mapping
Petroudi et al. Segmentation of the common carotid intima-media complex in ultrasound images using active contours
EP2658439B1 (en) Automatic left ventricular function evaluation
Su et al. An artificial neural network method for lumen and media-adventitia border detection in IVUS
Santos et al. A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images
US20110257545A1 (en) Imaging based symptomatic classification and cardiovascular stroke risk score estimation
US20110257505A1 (en) Atheromatic?: imaging based symptomatic classification and cardiovascular stroke index estimation
Molinari et al. Fully automated dual‐snake formulation for carotid intima‐media thickness measurement: a new approach
Cavalcanti et al. Macroscopic pigmented skin lesion segmentation and its influence on lesion classification and diagnosis
Foruzan et al. A knowledge-based technique for liver segmentation in CT data
Araki et al. Reliable and accurate calcium volume measurement in coronary artery using intravascular ultrasound videos
Araki et al. Two automated techniques for carotid lumen diameter measurement: regional versus boundary approaches
Marosan et al. Automated seeding for ultrasound skin lesion segmentation
Smitha et al. Evaluation of carotid intima media thickness measurement from ultrasound images
Molinari et al. CAUDLES-EF: carotid automated ultrasound double line extraction system using edge flow
Li et al. An Improved Approach for Accurate and Efficient Measurement of Common Carotid Artery Intima‐Media Thickness in Ultrasound Images
EP3977400B1 (en) A computer based method for classifying a mass of an organ as a cyst
Lazrag et al. Automatic segmentation of lumen in intravascular ultrasound images using fuzzy clustering and active contours
Kutbay et al. A computer-aided diagnosis system for measuring carotid artery intima-media thickness (IMT) using quaternion vectors
Meiburger et al. Automated carotid artery intima layer regional segmentation