Abstract
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.
ABBREVIATIONS:
- CCT
- cerebral circulation time
- FWHM
- full width at half maximum
- I1 and I2
- the internal carotid artery at 2 locations
- IA
- cervical internal carotid artery in the lateral view
- IB
- cavernous segment of the internal carotid artery in the lateral view
- MCP
- manually selected capillary phase
- PA
- posteroanterior
- TDC
- time-density curve
Footnotes
Disclosures: Jia-Sheng Hong—RELATED: Patent Pending. UNRELATED: Grant: Siemens, Comments: a grant to develop 2 Matlab programs.* Yi-Hsuan Kao—RELATED: Patent Pending. UNRELATED: Grant: Siemens, Comments: a grant to develop 2 Matlab programs.* Chung-Jung Lin—RELATED: Grant: Ministry of Science and Technology, Taiwan, Comments: grant No. 104-2314-B-010-037*; RELATED: Patent Pending. *Money paid to institution.
This work was supported, in part, by the Ministry of Science and Technology (grant No. 104-2314-B-010–037).
Paper previously presented, in part, as a scientific poster (P-36, Hemodynamic Segmentation of Digital Subtraction Angiography Using Independent Component Analysis) at: Annual Meeting of the American Society of Neuroradiology and the Foundation of the ASNR Symposium, June 2–7, 2018; Vancouver, British Columbia, Canada.
- © 2019 by American Journal of Neuroradiology
Indicates open access to non-subscribers at www.ajnr.org
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