Measuring arterial wall perfusion using photon-counting computed tomography (CT): Improving CT number accuracy of artery wall using image deconvolution

Kishore Rajendran, Shuai Leng, Steven M. Jorgensen, Jill L. Anderson, Ahmed F. Halaweish, Dilbar Abdurakhimova, Erik L. Ritman, Cynthia H. McCollough

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Changes in arterial wall perfusion mark the onset of atherosclerosis. A characteristic change is the increased spatial density of vasa vasorum (VV), the microvessels in the arterial walls. Measuring this increased VV (IVV) density using contrast-enhanced computed tomography (CT) has had limited success due to blooming effects from contrast media. If the system point-spread function (PSF) is known, then the blooming effect can be modeled as a convolution between the true signal and the PSF. We report the application of image deconvolution to improve the CT number accuracy in the arterial wall of a phantom and in a porcine model of IVV density, both scanned using a whole-body research photon-counting CT scanner. A 3D-printed carotid phantom filled with three concentrations of iodinated contrast material was scanned to assess blooming and its effect on wall CT number accuracy. The results showed a reduction in blooming effects following image deconvolution, and, consequently, a better delineation between lumen and wall was achieved. Results from the animal experiment showed improved CT number difference between the carotid with IVV density and the normal carotid artery after deconvolution, enabling the detection of VV proliferation, which may serve as an early indicator of atherosclerosis.

Original languageEnglish (US)
Article number044006
JournalJournal of Medical Imaging
Volume4
Issue number4
DOIs
StatePublished - Oct 1 2017

Keywords

  • atherosclerosis
  • blooming
  • contrast media
  • photon-counting computed tomography
  • point spread function
  • vasa vasorum

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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