Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/73817
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Type: Journal article
Title: Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images
Author: Wong, K.
Sun, Z.
Tu, J.
Worthley, S.
Mazumdar, J.
Abbott, D.
Citation: Computerized Medical Imaging and Graphics, 2012; 36(7):527-541
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2012
ISSN: 0895-6111
1879-0771
Statement of
Responsibility: 
Kelvin K.L. Wong, Zhonghua Sun, Jiyuan Tu, Stephen G. Worthley, Jagannath Mazumdar and Derek Abbott
Abstract: Most of the cardiac abnormalities have an implication on hemodynamics and affect cardiovascular health. Diagnostic imaging modalities such as computed tomography and magnetic resonance imaging provide excellent anatomical information on myocardial structures, but fail to show the cardiac flow and detect heart defects in vivo condition. The computerized technique for fluid motion estimation by pixel intensity tracking based on magnetic resonance signals represents a promising technique for functional assessment of cardiovascular disease, as it can provide functional information of the heart in addition to analysis of its anatomy. Cardiovascular flow characteristics can be measured in both normal controls and patients with cardiac abnormalities such as atrial septal defect, thus, enabling identification of the underlying causes of these flow phenomena. This review paper focuses on an overview of a flow analysis scheme based on computer-aided evaluation of magnetic resonance intensity images, in comparison with other commonly used medical imaging modalities. Details of the proposed technique are provided with validations being conducted at selected abnormal cardiovascular patients. It is expected that this new technique can potentially extend applications for characterizing cardiovascular defects and their hemodynamic behavior.
Keywords: Humans; Cardiovascular Diseases; Heart Defects, Congenital; Heart Septal Defects, Atrial; Diagnosis, Computer-Assisted; Diagnostic Imaging; Magnetic Resonance Imaging; Rheology; Coronary Circulation; Hemodynamics; Algorithms
Rights: © 2012 Elsevier Ltd. All rights reserved.
RMID: 0020121803
DOI: 10.1016/j.compmedimag.2012.04.003
Appears in Collections:Electrical and Electronic Engineering publications

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