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Proceedings Paper

A blooming correction technique for improved vasa vasorum detection using an ultra-high-resolution photon-counting detector CT
Author(s): Jeffrey Marsh Jr.; Kishore Rajendran; Shengzhen Tao; Andrew Vercnocke; Jill Anderson; Shuai Leng; Erik Ritman; Cynthia McCollough
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Paper Abstract

Proliferation of vasa vasorum, the microvasculature within artery walls, is an early marker of atherosclerosis. Detection of subtle changes in the spatial density of vasa vasorum using contrast-enhanced CT is challenging due to the limited spatial resolution and blooming effects. We report a forward model-based blooming correction technique to improve vasa vasorum detection in a porcine model imaged using an ultra-high resolution photon-counting detector CT. Six weeks preceding the CT study the animal received autologous blood injections in its left carotid artery to stimulate vasa vasorum proliferation within the arterial wall (right carotid served as control). The forward model predicted radial extent and magnitude of the luminal blooming affecting the wall signal by using prior data acquired with a vessel phantom of known dimensions. The predicted contamination from blooming was then subtracted from the original wall signal measurement to recover the obscured vasa vasorum signal. Attenuation measurements made on a testing vessel phantom before and after blooming corrections revealed a reduction in mean squared error by ~99.9% when compared to the ground truth. Applying corrections to contrast-enhanced carotid arteries from in vivo scan data demonstrated consistent reductions of blooming contamination within the vessel walls. An unpaired student t-test applied to measurements from the uncorrected porcine scan data revealed no significant difference between the vessel walls (p=0.26). However, after employing blooming correction, the mean enhancement was significantly greater in the injured vessel wall (p=0.0006).

Paper Details

Date Published: 16 March 2020
PDF: 8 pages
Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113124R (16 March 2020); doi: 10.1117/12.2549348
Show Author Affiliations
Jeffrey Marsh Jr., Mayo Clinic (United States)
Kishore Rajendran, Mayo Clinic (United States)
Shengzhen Tao, Mayo Clinic (United States)
Andrew Vercnocke, Mayo Clinic (United States)
Jill Anderson, Mayo Clinic (United States)
Shuai Leng, Mayo Clinic (United States)
Erik Ritman, Mayo Clinic (United States)
Cynthia McCollough, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

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