CARS 2002 Computer Assisted Radiology and Surgery pp 879-883 | Cite as
Detecting changes in myocardial perfusion
Abstract
Existing and new algorithms were evaluated for their efficacy in detecting and quantifying serial changes in myocardial perfusion from SPECT. Measures generated from standard perfusion quantification methods, i.e., summed stress score (SSS) and stress total severity score (STSS), and new methods using t-scores were investigated for their usefulness in finding perfusion changes. We generated 36 simulations with various perfusion defect sizes and severities using the NURBs-based CArdiac Torso (NCAT) phantom. We compared the methods’ abilities to detect perfusion differences within a given defect size, or lesion mass changes within a given defect severity. For a 10% change in defect severity, SSS and STSS changes averaged 0.07±0.1 and 0.17±0.1, respectively. The STSS and SSS values correlated with the true change of mass as y=8.4x − 1.33, r=0.97, and y= 0.44x + 0.23, r=0.86., respectively. Regional t-scores detected all 10% perfusion changes and most 5% perfusion changes. Measured changes in defect masses correlated with true mass changes as y=0.55x-0.25g, r=0.93. Even in this limited study, it is evident that currently available techniques, such as SSS and STSS are not sufficient for detecting small changes in perfusion severity and size. New methods, such as t-scores, are needed.
Keywords
SPECT myocardial perfusion automatic quantificationPreview
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