Vascular Extraction Using MRA Statistics and Gradient Information
Joint Authors
Tian, Yun
Deng, Qingqiong
Zhao, Shifeng
Wang, Xuesong
Xu, Pengfei
Zhou, Ming-Quan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Brain vessel segmentation is a fundamental component of cerebral disease screening systems.
However, detecting vessels is still a challenging task owing to their complex appearance and thinning geometry as well as the contrast decrease from the root of the vessel to its thin branches.
We present a method for segmentation of the vasculature in Magnetic Resonance Angiography (MRA) images.
First, we apply volume projection, 2D segmentation, and back-projection procedures for first stage of background subtraction and vessel reservation.
Those labeled as background or vessel voxels are excluded from consideration in later computation.
Second, stochastic expectation maximization algorithm (SEM) is used to estimate the probability density function (PDF) of the remaining voxels, which are assumed to be mixture of one Rayleigh and two Gaussian distributions.
These voxels can then be classified into background, middle region, or vascular structure.
Third, we adapt the K-means method which is based on the gradient of remaining voxels to effectively detect true positives around boundaries of vessels.
Experimental results on clinical cerebral data demonstrate that using gradient information as a further step improves the mixture model based segmentation of cerebral vasculature, in particular segmentation of the low contrast vasculature.
American Psychological Association (APA)
Zhao, Shifeng& Tian, Yun& Wang, Xuesong& Xu, Pengfei& Deng, Qingqiong& Zhou, Ming-Quan. 2018. Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1208220
Modern Language Association (MLA)
Zhao, Shifeng…[et al.]. Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1208220
American Medical Association (AMA)
Zhao, Shifeng& Tian, Yun& Wang, Xuesong& Xu, Pengfei& Deng, Qingqiong& Zhou, Ming-Quan. Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1208220
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208220