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Rajendran K, Leng S, Jorgensen SM, et al. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017;10132doi: 10.1117/12.2255676.
Rajendran, K., Leng, S., Jorgensen, S. M., Abdurakhimova, D., Ritman, E. L., & McCollough, C. H. (2017). Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proceedings of SPIE--the International Society for Optical Engineering, 10132. https://doi.org/10.1117/12.2255676
Rajendran, Kishore, et al. "Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution." Proceedings of SPIE--the International Society for Optical Engineering vol. 10132 (2017). doi: https://doi.org/10.1117/12.2255676
Rajendran K, Leng S, Jorgensen SM, Abdurakhimova D, Ritman EL, McCollough CH. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09. PMID: 28413240; PMCID: PMC5391689.
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Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09.

Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution.

Proceedings of SPIE--the International Society for Optical Engineering

Kishore Rajendran, Shuai Leng, Steven M Jorgensen, Dilbar Abdurakhimova, Erik L Ritman, Cynthia H McCollough

Affiliations

  1. Dept. of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, USA 55905.
  2. Physiology and Biomedical Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN, USA 55905.

PMID: 28413240 PMCID: PMC5391689 DOI: 10.1117/12.2255676

Abstract

Changes in arterial wall perfusion are an indicator of early atherosclerosis. This is characterized by an increased spatial density of vasa vasorum (VV), the micro-vessels that supply oxygen and nutrients to the arterial wall. Detection of increased VV during contrast-enhanced computed tomography (CT) imaging is limited due to contamination from blooming effect from the contrast-enhanced lumen. We report the application of an image deconvolution technique using a measured system point-spread function, on CT data obtained from a photon-counting CT system to reduce blooming and to improve the CT number accuracy of arterial wall, which enhances detection of increased VV. A phantom study was performed to assess the accuracy of the deconvolution technique. A porcine model was created with enhanced VV in one carotid artery; the other carotid artery served as a control. CT images at an energy range of 25-120 keV were reconstructed. CT numbers were measured for multiple locations in the carotid walls and for multiple time points, pre and post contrast injection. The mean CT number in the carotid wall was compared between the left (increased VV) and right (control) carotid arteries. Prior to deconvolution, results showed similar mean CT numbers in the left and right carotid wall due to the contamination from blooming effect, limiting the detection of increased VV in the left carotid artery. After deconvolution, the mean CT number difference between the left and right carotid arteries was substantially increased at all the time points, enabling detection of the increased VV in the artery wall.

Keywords: atherosclerosis; contrast media; deconvolution; vasa vasorum; x-ray computed tomography

References

  1. Proc SPIE Int Soc Opt Eng. 2016 Aug 28;9967:null - PubMed
  2. JACC Cardiovasc Imaging. 2010 Dec;3(12 ):1265-72 - PubMed
  3. Phys Med Biol. 2016 Feb 21;61(4):1572-95 - PubMed
  4. N Engl J Med. 1987 May 28;316(22):1371-5 - PubMed
  5. Invest Radiol. 2016 Jul;51(7):421-9 - PubMed
  6. Med Phys. 2012 Nov;39(11):6847-57 - PubMed
  7. Cardiovasc Res. 2007 Sep 1;75(4):649-58 - PubMed
  8. Proc SPIE Int Soc Opt Eng. 2015;9412:null - PubMed
  9. J Comput Assist Tomogr. 2016 Jul-Aug;40(4):663-70 - PubMed

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