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Array compression for MRI with large coil arrays

Open access
Buehrer, Martin, Pruessmann, Klaas P., Boesiger, Peter, Kozerke, Sebastian·2007·Magnetic Resonance in Medicine

Abstract

Arrays with large numbers of independent coil elements are becoming increasingly available as they provide increased signal‐to‐noise ratios (SNRs) and improved parallel imaging performance. Processing of data from a large set of independent receive channels is, however, associated with an increased memory and computational load in reconstruction. This work addresses this problem by introducing coil array compression. The method allows one to reduce the number of datasets from independent channels by combining all or partial sets in the time domain prior to image reconstruction. It is demonstrated that array compression can be very effective depending on the size of the region of interest (ROI). Based on 2D in vivo data obtained with a 32‐element phased‐array coil in the heart, it is shown that the number of channels can be compressed to as few as four with only 0.3% SNR loss in an ROI encompassing the heart. With twofold parallel imaging, only a 2% loss in SNR occurred using the same compression factor. Magn Reson Med 57:1131–1139, 2007. © 2007 Wiley‐Liss, Inc.

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Metadata

Authors
Buehrer, M., Pruessmann, K. P., Boesiger, P., & Kozerke, S.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
2007-05-29
Volume
57
Issue
6
Pages
1131-1139
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2009238259
Cited by
257
References
0
FWCI
3.88
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Array compression for MRI with large coil arrays. https://app.cochat.ai/papers/10.1002/mrm.21237
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Buehrer, M., Pruessmann, K. P., Boesiger, P., & Kozerke, S. (2007). Array compression for MRI with large coil arrays. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.21237

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