Journal
CIRCULATION-CARDIOVASCULAR IMAGING
Volume 5, Issue 2, Pages 243-250Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCIMAGING.111.970061
Keywords
four-dimensional computed tomography; cardiac imaging techniques; magnetic resonance imaging; ischemic heart disease; myocardial contraction; volumetric computed tomography
Funding
- National Institutes of Health [R01-HL64795, R01-HL094610]
- Siemens
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Background-Quantitative assessment of regional myocardial function has important diagnostic implications in cardiac disease. Recent advances in CT imaging technology have allowed fine anatomic structures, such as endocardial trabeculae, to be resolved and potentially used as fiducial markers for tracking local wall deformations. We developed a method to detect and track such features on the endocardium to extract a metric that reflects local myocardial contraction. Methods and Results-First-pass CT images and contrast-enhanced cardiovascular magnetic resonance images were acquired in 8 infarcted and 3 healthy pigs. We tracked the left ventricle wall motion by segmenting the blood from myocardium and calculating trajectories of the endocardial features seen on the blood cast. The relative motions of these surface features were used to represent the local contraction of the endocardial surface with a metric we call Stretch Quantifier of Endocardial Engraved Zones (SQUEEZ). The average SQUEEZ value and the rate of change in SQUEEZ were calculated for both infarcted and healthy myocardial regions. SQUEEZ showed a significant difference between infarct and remote regions (P<0.0001). No significant difference was observed between normal myocardium (noninfarcted hearts) and remote regions (P=0.8). Conclusions-We present a new quantitative method for measuring regional cardiac function from high-resolution volumetric CT images, which can be acquired during angiography and myocardial perfusion scans. Quantified measures of regional cardiac mechanics in normal and abnormally contracting regions in infarcted hearts were shown to correspond well with noninfarcted and infarcted regions as detected by delayed enhancement cardiovascular magnetic resonance images. (Circ Cardiovasc Imaging. 2012;5:243-250.)
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