Validating the Automatic Independent Component Analysis of DSA

Time-density curve analysis of DSA provides useful blood flow information. However, manually selecting the ROI is time-consuming. We developed an automatic technique to provide arterial, capillary, and venous vasculatures with corresponding time-density curves. This study retrospectively analyzed th...

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Bibliographic Details
Published in:	American journal of neuroradiology : AJNR Vol. 40; no. 3; pp. 540 - 542
Main Authors:	Hong, J-S, Kao, Y-H, Chang, F-C, Lin, C-J
Format:	Journal Article
Language:	English
Published:	United States American Society of Neuroradiology 01-03-2019
Subjects:	Aged Angiography, Digital Subtraction - methods Carotid Stenosis - diagnostic imaging Female Humans Image Interpretation, Computer-Assisted - methods Interventional Male Middle Aged Retrospective Studies
Online Access:	Get full text
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Summary:	Time-density curve analysis of DSA provides useful blood flow information. However, manually selecting the ROI is time-consuming. We developed an automatic technique to provide arterial, capillary, and venous vasculatures with corresponding time-density curves. This study retrospectively analyzed the data of 36 patients with unilateral carotid stenosis. We found that the full width at half maximum of the time-density curve for the automatically segmented capillary vasculature is a suitable representation of the cerebral circulation time.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3
ISSN:	0195-6108 1936-959X
DOI:	10.3174/ajnr.A5963