Proceedings Article | 2 March 2020
KEYWORDS: Arteries, Angiography, 3D printing, Sensors, Image segmentation, Hemodynamics, Targeting Task Performance metric, Resistance, 3D image processing, Brain
Purpose: 3D printed Patient-Specific Neurovascular Phantoms (3DP-PSNP) containing significant portions of the neurovasculature can be used to develop and test new diagnostic tools. The purpose of this research is to assess the use of 3DP-PSNP to study the correlation between Angiographic Parametric Imaging (API) features and the severity of carotid artery disease. Materials and Methods: We developed 3DP-PSNP for twenty patients with carotid atherosclerosis and performed two studies. In the first study, we used three phantoms with complete Circle of Willis (COW) with none, moderate and severe stenosis respectively. In the second experiment, all phantoms regardless of the COW structure were used. 3DP-PSNPs were connected in a simulated physiological pulsatile flow loop and Digital Subtractive Angiography (DSA) was performed by injecting 10 ml of contrast at 10 mL/s. An API software calculated imaging biomarkers: time-to-peak TTP, mean transit time MTT, time to arrival TTA, peak height PH, and area under the curve AUC for both carotids. Results: For none, moderate, and severe stenosis respectively, absolute mean percent differences between diseased vs. contralateral carotids were: 1.9%, 8.1%, 32.3% TTP; 6.8%, 7.5%, 41.0% TTA; 13.2%, 12.4%, 6.4% MTT; 8.7%, 11.3%, 97.6% PH; and 10.3%, 22.6%, 100% AUC. Injection parameters did not cause significant change to the difference between diseased and contralateral carotids. The second experiment showed strong correlation between the TTA and location of the stenosis, regardless of COW configuration. Conclusions: Overall, API was assessed in 3DP-PSNPs and shown to have increasing differences between diseased and contralateral carotid arteries with increasing severity.
