Impact of Effective Detector Pixel and CT Voxel Size on Accurate Estimation of Blood Volume in Opacified Microvasculature.
CT image voxel size
Computed tomography (CT)
Detector pixel size
Microvessel
Spatial resolution
Journal
Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
07
09
2018
revised:
20
11
2018
accepted:
22
11
2018
pubmed:
12
12
2018
medline:
18
6
2020
entrez:
12
12
2018
Statut:
ppublish
Résumé
The purpose of this study was to determine the impact of effective detector-pixel-size and image voxel size on the accurate estimation of microvessel density (ratio of microvascular lumen volume/tissue volume) in an excised porcine myocardium specimen using microcomputed tomography (CT), and the ability of whole-body energy-integrating-detector (EID) CT and photon-counting-detector (PCD) CT to measure microvessel density in the same ex vivo specimen. Porcine myocardial tissue in which the microvessels contained radio-opaque material was scanned using a micro-CT scanner and data were generated with a range of detector pixel sizes and image voxel sizes from 20 to 260 microns, to determine the impact of these parameters on the accuracy of microvessel density estimates. The same specimen was scanned in a whole-body EID CT and PCD CT system and images reconstructed with 600 and 250 micron slice thicknesses, respectively. Fraction of tissue volume that is filled with opacified microvessels was determined by first subtracting the mean background attenuation value from all voxels, and then by summing the remaining attenuation. Microvessel density data were normalized to the value measured at 20 µm voxel size, which was considered reference truth for this study. For emulated micro-CT voxels up to 260 µm, the microvessel density was underestimated by at most 11%. For whole-body EID CT and PCD CT, microvessel density was underestimated by 9.5% and overestimated by 0.1%, respectively. Our data indicate that microvessel density can be accurately calculated from the larger detector pixels used in clinical CT scanners by measuring the increase of CT attenuation caused by these opacified microvessels.
Identifiants
pubmed: 30528631
pii: S1076-6332(18)30528-2
doi: 10.1016/j.acra.2018.11.013
pmc: PMC7682255
mid: NIHMS1627922
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1410-1416Subventions
Organisme : NCRR NIH HHS
ID : C06 RR018898
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB016966
Pays : United States
Commentaires et corrections
Type : ErratumIn
Informations de copyright
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
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