Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of
Author(s)Copeland, Andrew D.; Mangoubi, Rami S.; Desai, Mukund N.; Mitter, Sanjoy K.; Malek, Adel M.
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 41st Applied Imagery Recognition Workshop, 2009
Institute of Electrical and Electronics Engineers
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
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INSPEC Accession Number: 11306977