Share Email Print
cover

Proceedings Paper • new

CT investigation of patient-specific phantoms with coronary artery disease
Author(s): Lauren M. Shepard; Kelsey N. Sommer; Erin Angel; Vijay Iyer; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Sabee Molloi; Ciprian N. Ionita
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Purpose: To develop coronary phantoms that mimic patient geometry and coronary blood flow conditions for CT imaging optimization and software validation. Materials and Methods: Five patients with varying degrees of coronary artery disease underwent 320-detector row coronary CT angiography (Aquilion ONE, Canon Medical Systems). The aorta and coronary arteries were segmented using a Vitrea Workstation (Vital Images). Patient anatomy was manipulated in Autodesk Meshmixer and 3D printed in Tango+, a flexible polymer, using an Eden260V printer (Stratasys). Phantoms were connected to a pump that simulates physiologic pulsatile flow waveforms, correlated with a simulated ECG signal. Distal resistance was optimized for all three coronary vessels until physiologically accurate flow rates and pressure were observed. Phantoms underwent coronary CT Angiography (CTA) using a standard acquisition protocol and contrast mixed in the flow loop. Image data from the phantoms were input to a CT-FFR research software and compared to those derived from the clinical data. Results: All five patient-specific phantoms were successfully imaged with CTA and the images were analyzed by the CTFFR software. The phantom CT-FFR results had a mean difference of -5.4% compared to the patient CT-FFR results. Patient and phantom CT-FFR agreed for all three coronary vessels, with Pearson correlations r = 0.83, 0.68, 0.62 (LAD, LCX, RCA). Conclusions: 3D printed patient-specific phantoms can be manipulated through material properties, flow regulations, and a pulsatile waveform to create accurate flow conditions for CT based experimentation.

Paper Details

Date Published: 9 March 2018
PDF: 12 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105731V (9 March 2018); doi: 10.1117/12.2292918
Show Author Affiliations
Lauren M. Shepard, Univ. at Buffalo (United States)
Toshiba-Canon Stroke and Vascular Research Ctr. (United States)
Kelsey N. Sommer, Univ. at Buffalo (United States)
Toshiba-Canon Stroke and Vascular Research Ctr. (United States)
Erin Angel, Canon Medical Systems USA (United States)
Vijay Iyer, Univ. at Buffalo Medicine (United States)
Michael F. Wilson, Univ. at Buffalo Medicine (United States)
Frank J. Rybicki, The Ottawa Hospital Research Institute (Canada)
Univ. of Ottawa (Canada)
Dimitrios Mitsouras, The Ottawa Hospital Research Institute (Canada)
Univ. of Ottawa (Canada)
Brigham and Women's Hospital (United States)
Sabee Molloi, Univ. of California, Irvine (United States)
Ciprian N. Ionita, Univ. at Buffalo (United States)
Toshiba-Canon Stroke and Vascular Research Ctr. (United States)


Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

© SPIE. Terms of Use
Back to Top