Paper
2 May 2003 Regional time-density measurement of myocardial perfusion
Christian D. Eusemann, Jerome F. Breen M.D., Richard A. Robb
Author Affiliations +
Abstract
The measurement of time-density relationships of the myocardium in studies of Magnetic Resonance perfusion data sets is a clinical technique used in assessing myocardial perfusion. Traditionally, to measure the time-density relationship a physician draws a region on the same 2-D image of the myocardium in sequential cardiac cycles. Throughout multiple cardiac cycles the density changes in this region are measured. A major limitation of this technique is change in anatomy relative to the selected region on the myocardium during consecutive cardiac cycles. This causes measurement errors, which are amplified if the traced region does not encompass the entire myocardial thickness, or includes a boundary exterior to the epicardial or endocardial surface. The technique described in this paper uses approximately the same myocardial region throughout the entire perfusion study, which insures inclusion of the entire endocardial to epicardial region and exclusion of exterior regions. Moreover, this region can be subdivided into smaller regions of interest. This can be accomplished by careful segmentation and reformatting of the data into polar coordinates. This allows sectioning both axially and transaxially through the myocardium permitting regional assessment of perfusion specific values such as maximum and/or the time to reach maximum density. These values can then be illustrated using density-mapped colors or time-density curves. This measurement and display technique may provide enhanced detection and evaluation of regional deficits in myocardial contractility and perfusion.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian D. Eusemann, Jerome F. Breen M.D., and Richard A. Robb "Regional time-density measurement of myocardial perfusion", Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); https://doi.org/10.1117/12.480394
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KEYWORDS
Image segmentation

Image visualization

Visualization

Image processing

Computer programming

Heart

Binary data

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