Share Email Print

Proceedings Paper

A predictive software tool for optimal timing in contrast enhanced carotid MR angiography
Author(s): Abbas N. Moghaddam; Tariq Balawi; Reza Habibi; Christoph Panknin; Gerhard Laub; Stefan Ruehm; J. Paul Finn M.D.
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A clear understanding of the first pass dynamics of contrast agents in the vascular system is crucial in synchronizing data acquisition of 3D MR angiography (MRA) with arrival of the contrast bolus in the vessels of interest. We implemented a computational model to simulate contrast dynamics in the vessels using the theory of linear time-invariant systems. The algorithm calculates a patient-specific impulse response for the contrast concentration from time-resolved images following a small test bolus injection. This is performed for a specific region of interest and through deconvolution of the intensity curve using the long division method. Since high spatial resolution 3D MRA is not time-resolved, the method was validated on time-resolved arterial contrast enhancement in Multi Slice CT angiography. For 20 patients, the timing of the contrast enhancement of the main bolus was predicted by our algorithm from the response to the test bolus, and then for each case the predicted time of maximum intensity was compared to the corresponding time in the actual scan which resulted in an acceptable agreement. Furthermore, as a qualitative validation, the algorithm's predictions of the timing of the carotid MRA in 20 patients with high quality MRA were correlated with the actual timing of those studies. We conclude that the above algorithm can be used as a practical clinical tool to eliminate guesswork and to replace empiric formulae by a priori computation of patient-specific timing of data acquisition for MR angiography.

Paper Details

Date Published: 25 March 2008
PDF: 7 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691340 (25 March 2008); doi: 10.1117/12.771019
Show Author Affiliations
Abbas N. Moghaddam, David Geffen School of Medicine at UCLA (United States)
California Institute of Technology (United States)
Tariq Balawi, David Geffen School of Medicine at UCLA (United States)
Reza Habibi, David Geffen School of Medicine at UCLA (United States)
Christoph Panknin, Siemens Medical Solutions (United States)
Gerhard Laub, Siemens Medical Solutions (United States)
Stefan Ruehm, David Geffen School of Medicine at UCLA (United States)
J. Paul Finn M.D., David Geffen School of Medicine at UCLA (United States)

Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

© SPIE. Terms of Use
Back to Top