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Time density curve analysis for C-arm FDCT PBV imaging

Abstract:
Parenchymal blood volume (PBV) estimation using C-arm flat detector computed tomography (FDCT) assumes a steady-state contrast concentration in cerebral vasculature for the scan duration. Using time density curve (TDC) analysis, we explored if the steady-state assumption is met for C-arm CT PBV scans, and how consistent the contrast-material dynamics in cerebral vasculature are across patients.Thirty C-arm FDCT datasets of 26 patients with aneurysmal-SAH, acquired as part of a prospective study comparing C-arm CT PBV with MR-PWI, were analysed. TDCs were extracted from the 2D rotational projections. Goodness-of-fit of TDCs to a steady-state horizontal-line-model and the statistical similarity among the individual TDCs were tested. Influence of the differences in TDC characteristics on the agreement of resulting PBV measurements with MR-CBV was calculated.Despite identical scan parameters and contrast-injection-protocol, the individual TDCs were statistically non-identical (p < 0.01). Using Dunn's multiple comparisons test, of the total 435 individual comparisons among the 30 TDCs, 330 comparisons (62%) reached statistical significance for difference. All TDCs deviated significantly (p < 0.01) from the steady-state horizontal-line-model. PBV values of those datasets for which the TDCs showed largest deviations from the steady-state model demonstrated poor agreement and correlation with MR-CBV, compared with the PBV values of those datasets for which the TDCs were closer to steady-state.For clinical C-arm CT PBV examinations, the administered contrast material does not reach the assumed 'ideal steady-state' for the duration of scan. Using a prolonged injection protocol, the degree to which the TDCs approximate the ideal steady-state influences the agreement of resulting PBV measurements with MR-CBV.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1177/1591019915622169

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author


Publisher:
SAGE Publications
Journal:
Interventional Neuroradiology More from this journal
Volume:
22
Issue:
2
Pages:
176-186
Publication date:
2016-01-04
DOI:
EISSN:
2385-2011
ISSN:
1591-0199


Language:
English
Keywords:
Pubs id:
pubs:598091
UUID:
uuid:30f0bd00-f2a7-4a63-909f-99145a074a36
Local pid:
pubs:598091
Source identifiers:
598091
Deposit date:
2016-01-28
ARK identifier:

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