Paper
14 February 2012 Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration
Jonghye Woo, Piotr J. Slomka, Ryo Nakazato, Balaji K. Tamarappoo, James K. Min, Guido Germano, Daniel S. Berman, Damini Dey
Author Affiliations +
Abstract
Transient ischemic dilation (TID) of the left ventricle measured by myocardial perfusion Single Photon Emission Computed Tomography (SPECT) and defined as a the ratio of stress myocardial blood volume to rest myocardial blood volume has been shown to be highly specific for detection of severe coronary artery disease. This work investigates automated quantification of TID from cardiac Computed Tomography (CT) perfusion images. To date, TID has not been computed from CT. Previous studies to compute TID have assumed accurate segmentation of the left ventricle and performed subsequent analysis of volume change mainly on static or less often on gated myocardial perfusion SPECT. This, however, may limit the accuracy of TID due to potential errors from segmentation, perfusion defects or volume measurement from both images. In this study, we propose to use registration methods to determine TID from cardiac CT scans where deformation field within the structure of interest is used to measure the local volume change between stress and rest. Promising results have been demonstrated with 7 datasets, showing the potential of this approach as a comparative method for measuring TID.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonghye Woo, Piotr J. Slomka, Ryo Nakazato, Balaji K. Tamarappoo, James K. Min, Guido Germano, Daniel S. Berman, and Damini Dey "Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140G (14 February 2012); https://doi.org/10.1117/12.911472
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KEYWORDS
Image segmentation

Blood

Computed tomography

Image registration

Single photon emission computed tomography

Arteries

Image quality

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