Partitioned edge-function-scaled region-based active contour (p-ESRAC): Automated liver segmentation in multiphase contrast-enhanced MRI

Purpose: In multiphase contrast-enhanced magnetic resonance imaging (CE-MRI), liver segmentation is an important preprocessing step for the computer-aided evaluation of liver disease. However, because of the liver's irregular shape, proximity to surrounding organs, and large intensity variation...

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Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 41; no. 4; pp. 041914 - n/a
Main Authors:	Oh, Jihun, Martin, Diego R., Hu, Xiaoping
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.04.2014
Subjects:	active contour Algorithms Analysis of texture automated liver segmentation Automation Biological material, e.g. blood, urine; Haemocytometers biomedical MRI blood vessels Classical differential geometry Contrast Media differential geometry Digital computing or data processing equipment or methods, specially adapted for specific applications Edge enhancement edge‐function‐scaled region‐based active contour (ESRAC) Humans Image data processing or generation, in general image enhancement Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image image registration image segmentation image sequences image texture Imaging, Three-Dimensional - methods Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging iterative methods kidney level set Liver Liver Diseases - diagnosis Liver Diseases - pathology Magnetic resonance imaging Magnetic Resonance Imaging - methods medical image processing multiphase contrast‐enhanced MRI Numerical approximation and analysis Registration Segmentation active contour edge-function-scaled region-based active contour (ESRAC) multiphase contrast-enhanced MRI automated liver segmentation level set
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
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