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Proceedings Paper

Feasibility study to demonstrate cardiac imaging using fast kVp switching dual-energy computed tomography: phantom study
Author(s): Priti Madhav; Yasuhiro Imai; Suresh Narayanan; Sandeep Dutta; Naveen Chandra; Jiang Hsieh
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Paper Abstract

Dual-energy computed tomography is a novel imaging tool that has the potential to reduce beam hardening artifacts and enhance material separation over conventional imaging techniques. Dual-energy acquisitions can be performed by using a fast kVp technology to switch between acquiring adjacent projections at two distinct x-ray spectra (80 and 140 kVp). These datasets can be used to further compute material density and monochromatic images for better material separation and beam hardening reduction by virtue of the projection domain process. The purpose of this study was to evaluate the feasibility of using dual-energy in cardiac imaging for myocardial perfusion detection and coronary artery lumen visualization. Data was acquired on a heart phantom, which consisted of the chambers and aorta filled with Iodine density solution (500 HU @ 120 kVp), a defect region between the aorta and chamber (40 HU @ 120 kVp), two Iodinefilled vessels (400 HU @ 120 kVp) of different diameters with high attenuation (hydroxyapatite) plaques (HAP), and with a 30-cm water equivalent body ring around the phantom. Prospective ECG-gated single-energy and prospective ECG-gated dual-energy imaging was performed. Results showed that the generated monochromatic images had minimal beam hardening artifacts which improved the accuracy and detection of the myocardial defect region. Material density images were useful in differentiating and quantifying the actual size of the plaque and coronary artery lumen. Overall, this study shows that dual-energy cardiac imaging will be a valuable tool for cardiac applications.

Paper Details

Date Published: 3 March 2012
PDF: 7 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132Y (3 March 2012); doi: 10.1117/12.911526
Show Author Affiliations
Priti Madhav, GE Healthcare Systems (United States)
Yasuhiro Imai, GE Healthcare Systems (United States)
Suresh Narayanan, GE Healthcare Systems (United States)
Sandeep Dutta, GE Healthcare Systems (United States)
Naveen Chandra, GE Healthcare Systems (United States)
Jiang Hsieh, GE Healthcare Systems (United States)

Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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