학술논문

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
Document Type
Conference
Source
2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) Applied Imagery Pattern Recognition Workshop (AIPRW), 2009 IEEE. :1-4 Oct, 2009
Subject
Computing and Processing
Bioengineering
Communication, Networking and Broadcast Technologies
Surgery
Visualization
Blood flow
Safety
Shape
Biomedical imaging
Laboratories
Neurosurgery
Focusing
Image registration
Language
ISSN
1550-5219
2332-5615
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.