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Support vector machine-based boundary recovery of a medical image segment in low resolution

Title
Support vector machine-based boundary recovery of a medical image segment in low resolution
Author
김지은
Keywords
CAROTID BIFURCATION; WALL SHEAR; MRI; CONSEQUENCES; MODEL
Issue Date
2013-07
Publisher
IS&T & SPIE
Citation
Journal of Electronic Imaging, 2013, 22(3), 033010
Abstract
A novel support vector machine (SVM)-based boundary recovery procedure for segmented medical objects in low-resolution images is proposed. The proposed procedure consists of two steps: segmentation and boundary interpolation steps. First, we initially estimate a coarse object region using an active contour-based segmentation method. Boundary recoveries from the first step exhibit considerably blocky artifacts and are easily misled by noise. Then, a reliable boundary recovery is achieved in the next step by the proposed support vector machines based interpolation scheme. In simulation, the proposed algorithm shows more reliable and better performance in the presence of noise and adequately preserves shapes and smooth boundaries that are essential characteristics of medical objects. We illustrate it using real-life data sets in regard to nonconvex tube detection in wall shear stress, lumen detection in carotid stenosis, micro-calcifications detection in digital mammography, and nonmedical fields as well. (C) 2013 SPIE and IS&T
URI
https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-22/issue-3/033010/Support-vector-machine-based-boundary-recovery-of-a-medical-image/10.1117/1.JEI.22.3.033010.short?SSO=1
ISSN
1017-9909; 1560-229X
DOI
10.1117/1.JEI.22.3.033010
Appears in Collections:
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > ETC
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