Volume 56, Issue 5 pp. 1156-1162
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Dynamic coil selection for real-time imaging in interventional MRI

Sven Müller

Sven Müller

Deutsches Krebsforschungszentrum, Heidelberg, Germany

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Reiner Umathum

Reiner Umathum

Deutsches Krebsforschungszentrum, Heidelberg, Germany

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Peter Speier

Peter Speier

Siemens AG Medical Solutions, Erlangen, Germany

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Sven Zühlsdorff

Sven Zühlsdorff

Siemens Medical Solutions, Chicago, Illinois, USA

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Sebastian Ley

Sebastian Ley

Deutsches Krebsforschungszentrum, Heidelberg, Germany

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Wolfhard Semmler

Wolfhard Semmler

Deutsches Krebsforschungszentrum, Heidelberg, Germany

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Michael Bock

Corresponding Author

Michael Bock

Deutsches Krebsforschungszentrum, Heidelberg, Germany

Deutsches Krebsforschungszentrum (DKFZ), Abt. Medizinische Physik in der Radiologie (E020), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany===Search for more papers by this author
First published: 06 October 2006
Citations: 11

Presented in part at the 14th Annual Meeting of ISMRM, Seattle, WA, USA, 2006.

Abstract

MR-guided intravascular interventions require image update rates of up to 10 images per second, which can be achieved using parallel imaging. However, parallel imaging requires many coil elements, which increases reconstruction times and thus compromises real-time image reconstruction. In this study a dynamic coil selection (DCS) algorithm is presented that selects a subset of receive coils to reduce image reconstruction times. The center-of-sensitivity coordinates and the relative signal intensities are determined for each coil in a prescan. During the intervention m coils are selected for reconstruction using a coil ranking based on the distance to the current slice or catheter position. In a phantom experiment for m = 6, an optimal signal-to-background ratio (SBR) was achieved and foldover artifacts were avoided. In three animal experiments involving catheter manipulation in the aorta and the right heart chamber, the anatomy was successfully visualized at frame rates of about 5 Hz using active catheter tracking. Magn Reson Med, 2006. © 2006 Wiley-Liss, Inc.

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