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Toward true 3D visualization of active catheters using compressed sensing


Schirra, C O; Weiss, S; Krueger, S; Pedersen, S F; Razavi, R; Schaeffter, T; Kozerke, S (2009). Toward true 3D visualization of active catheters using compressed sensing. Magnetic Resonance in Medicine, 62(2):341-347.

Abstract

A crucial requirement in MR-guided interventions is the visualization of catheter devices in real time. However, true 3D visualization of the full length of catheters has hitherto been impossible given scan time constraints. Compressed sensing (CS) has recently been proposed as a method to accelerate MR imaging of sparse objects. Images acquired with active interventional devices exhibit a high CNR and are inherently sparse, therefore rendering CS ideally suited for accelerating data acquisition.
A framework for true visualization of active catheters
in 3D is proposed employing CS to gain high undersampling
factors making real-time applications feasible. Constraints are introduced taking into account prior knowledge of catheter geometry and catheter motion over time to improve and accelerate image reconstruction. The potential of the method is demonstrated using computer simulations and phantom experiments and in vivo feasibility is demonstrated in a pig experiment.

A crucial requirement in MR-guided interventions is the visualization of catheter devices in real time. However, true 3D visualization of the full length of catheters has hitherto been impossible given scan time constraints. Compressed sensing (CS) has recently been proposed as a method to accelerate MR imaging of sparse objects. Images acquired with active interventional devices exhibit a high CNR and are inherently sparse, therefore rendering CS ideally suited for accelerating data acquisition.
A framework for true visualization of active catheters
in 3D is proposed employing CS to gain high undersampling
factors making real-time applications feasible. Constraints are introduced taking into account prior knowledge of catheter geometry and catheter motion over time to improve and accelerate image reconstruction. The potential of the method is demonstrated using computer simulations and phantom experiments and in vivo feasibility is demonstrated in a pig experiment.

Citations

14 citations in Web of Science®
15 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Language:English
Date:August 2009
Deposited On:02 Dec 2009 14:42
Last Modified:05 Apr 2016 13:33
Publisher:Wiley-Blackwell
ISSN:0740-3194
Publisher DOI:10.1002/mrm.22001
Permanent URL: http://doi.org/10.5167/uzh-24038

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