Paper
19 March 2013 Extraction of coronary angiographic information from low tube current HYPR-CT myocardial perfusion scans
Author Affiliations +
Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 866840 (2013) https://doi.org/10.1117/12.2007719
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Low tube current scanning in combination with HYPR (HighlY constrained backPRojection) noise reduction is a proposed method for low-dose time-resolved CT myocardial perfusion imaging. We report animal studies and simulations investigating the coronary angiographic information available in these scans. Four pigs were scanned at 100 rnA and 500 rnA. A HYPR coronary angiographic image was formed from each 100 rnA scan by producing a time-averaged composite image from cardiac cycles centered on the time of peak left ventricular intensity and then multiplying the composite by a weighting image to restore image intensities. Image noise, coronary artery cross sectional area, and coronary artery intensity were measured as a function of the number of beats in the composite, weighting image filtration, and coronary artery size. HYPR images maintained coronary artery area and intensity to within 6-8% of of filtered back projection (FBP) image values, on average, for vessels with cross sectional area greater than 2 mm2. Vessel visibility in 100-mA HYPR images was improved relative to 100-mA FBP, in cross sectional and multiplanar reformatted images.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinghua Tao, Michael A. Speidel, Michael Van Lysel, and Guang-Hong Chen "Extraction of coronary angiographic information from low tube current HYPR-CT myocardial perfusion scans", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 866840 (19 March 2013); https://doi.org/10.1117/12.2007719
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KEYWORDS
Composites

Image restoration

Medical imaging

Arteries

Image processing

Angiography

Image compression

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