Local feature fitting active contour for segmenting vessels in angiograms

An active contour model for vascular segmentation has been proposed, by defining a new, local, feature fitting, energy function. A vesselness filter is applied to the image in a directional Hessian-based framework. The filter output, as a feature, expresses the degree of the correspondence of each p...

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Bibliographic Details
Published in:IET computer vision 2014-06, Vol.8 (3), p.161-170
Main Authors: Taghizadeh Dehkordi, Maryam, Doost Hoseini, Ali Mohamad, Sadri, Saeed, Soltanianzadeh, Hamid
Format: Article
Language:English
Subjects:
active contour model accuracy
Applied sciences
Biological and medical sciences
blood vessels
Computerized, statistical medical data processing and models in biomedicine
coronary X-ray angiogram
diagnostic radiography
directional Hessian-based framework
Exact sciences and technology
feature extraction
filter output
Hessian matrices
image intensity inhomogeneity
Image processing
image segmentation
Information, signal and communications theory
local feature fitting active contour
local feature fitting energy function
local region intensity information
medical image processing
Medical management aid. Diagnosis aid
Medical sciences
Pattern recognition
pixel-vessel structure correspondence degree
Signal processing
synthetic image
Telecommunications and information theory
vascular segmentation
vessel segmentation
vesselness filter
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Summary:An active contour model for vascular segmentation has been proposed, by defining a new, local, feature fitting, energy function. A vesselness filter is applied to the image in a directional Hessian-based framework. The filter output, as a feature, expresses the degree of the correspondence of each pixel to the vessel structure. By using intensity information obtained from local regions, the proposed model is able to solve the problem of intensity inhomogeneity in images. In addition, by introducing this feature into the fitting process, the model exhibits greater accuracy when compared to existing models. Experimental results from synthetic images and coronary X-ray angiograms verify the desirable performance of the proposed model.
ISSN:1751-9632
1751-9640
1751-9640
DOI:10.1049/iet-cvi.2013.0083