A Sampling Framework for Cerebral Perfusion CT
Pau Montes, Interdisciplinary Center for Scientific Computing (IWR), Heidelberg (D)

Seminar • 01 February 2006 • BM 5.202

Abstract
In a perfusion computed tomography protocol, contrast agent is injected to the patient and subsequently a time series of CT images of a region of interest is reconstructed. Due to the relatively high number of repeated CT scans, these must be carried out at a low dose level yielding a notable noise level in the reconstructed images. In this presentation we propose an analysis of the dynamic acquisition process from a sampling point of view. This will lead us to a reconstruction algorithm for objects with time dependent density. Finally, a method will be presented to optimize the SNR of the perfusion sequences obtained.