Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of
Name
Copeland-2009-Enhancing the surgeons reality Smart visualization of bolus .pdf
Size
823.05 KB
Format
Adobe PDF
Checksum (MD5)
7a550de0c93a249f1004df26c138ec7d
Author(s)
Copeland, Andrew D.
Mangoubi, Rami S.
Desai, Mukund N.
Mitter, Sanjoy K.
Malek, Adel M.
Date Issued
May 2010
Journal
Proceedings of the 41st Applied Imagery Recognition Workshop, 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Copeland, A. et al. “Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of cerebrovascular surgery.” Applied Imagery Pattern Recognition Workshop (AIPRW), 2009 IEEE. 2009. 1-4. © Copyright 2009 IEEE
Version
Final published version
Abstract
A noise adaptive Cusum-based algorithm for determining the arrival times of contrast at each spatial location in a 2D time sequence of angiographic images is presented. We employ a new group-wise registration algorithm to remove the effect of patient motions during the acquisition process. By using the registered image the proposed arrival time provides accurate results without relying on a priori knowledge of the shape of the time series at each location or even on the time series at each location having the same shape under translation.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/AIPR.2009.5466313
