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12 March 2019 Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation
Lauren M. Shepard, Kelsey N. Sommer, Erin Angel, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Sabee Molloi, Ciprian N. Ionita
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Journal of Medical Imaging, Vol. 6, Issue 2, 021603 (March 2019). https://doi.org/10.1117/1.JMI.6.2.021603
Abstract
We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop experimentation, and CT-FFR software. Five patients with coronary artery disease underwent 320-detector row coronary CT angiography (CCTA) (Aquilion ONE, Canon Medical Systems) and a catheter lab procedure to measure fractional flow reserve (FFR). The aortic root and three main coronary arteries were segmented (Vitrea, Vital Images) and 3D printed (Eden 260V, Stratasys). Phantoms were connected into a pulsatile flow loop, which replicated physiological flow and pressure gradients. Contrast was introduced and the phantoms were scanned using the same CT scanner model and CCTA protocol as used for the patients. Image data from the phantoms were input to a CT-FFR research software (Canon Medical Systems) and compared to those derived from the clinical data, along with comparisons between image measurements and benchtop FFR results. Phantom diameter measurements were within 1 mm on average compared to patient measurements. Patient and phantom CT-FFR results had an absolute mean difference of 4.34% and Pearson correlation of 0.95. We have demonstrated the capabilities of 3D printed patient-specific phantoms in a diagnostic software.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Lauren M. Shepard, Kelsey N. Sommer, Erin Angel, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Sabee Molloi, and Ciprian N. Ionita "Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation," Journal of Medical Imaging 6(2), 021603 (12 March 2019). https://doi.org/10.1117/1.JMI.6.2.021603
Received: 15 August 2018; Accepted: 19 February 2019; Published: 12 March 2019
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Cited by 9 scholarly publications.
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KEYWORDS
Computed tomography
3D printing
Arteries
Image segmentation
Software validation
Diagnostics
3D image processing
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