A new approach to accelerate readout segmented EPI with compressed sensing

Liebig P, Heidemann RM, Hensel B, Porter DA (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Magnetic Resonance in Medicine Wiley

DOI: 10.1002/mrm.28116

Abstract

Purpose High resolution diffusion-weighted imaging is limited by susceptibility-induced distortions and relaxation-induced blurring. Segmented acquisition techniques can address these limitations at the expense of a prolonged scan time. If segmentation is performed along the readout direction, e.g., in RESOLVE (readout segmentation of long and variable echo-trains), scan time can be reduced by readout (RO) partial Fourier methods, or simultaneous multi-slice (SMS) methods. In this paper, we present a new approach to additionally accelerate the image acquisition called variable segment (VASE) RESOLVE. Methods To avoid discontinuities at the boundaries of the segments, the phase evolution and therefore the effective echo-spacing needs to be adjusted. To achieve this, we use higher undersampling factors in the outer parts of k-space. Simultaneously we increase the width of the outer segments resulting in an increase of the echo-spacing. Because of this variation, we introduce a kind of randomization to the sampling scheme. This enables the use of compressed sensing reconstruction techniques, which results in improved image quality compared to standard parallel imaging methods. Results The RMS errors for the VASE RESOLVE acquisitions were lower compared to the standard reconstructions. The VASE RESOLVE in vivo images show a higher apparent signal to noise ratio. Conclusion VASE RESOLVE is a new approach to further decrease the acquisition time of RO segmented acquisitions. Compared to RESOLVE with SMS, VASE RESOLVE additionally reduces the acquisition time by a factor of 2.

Authors with CRIS profile

Patrick Liebig Max Schaldach-Stiftungsprofessur für Biomedizinische Technik Bernhard Hensel Max Schaldach-Stiftungsprofessur für Biomedizinische Technik

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE) University of Glasgow GB United Kingdom (GB)

How to cite

APA:

Liebig, P., Heidemann, R.M., Hensel, B., & Porter, D.A. (2019). A new approach to accelerate readout segmented EPI with compressed sensing. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28116

MLA:

Liebig, Patrick, et al. "A new approach to accelerate readout segmented EPI with compressed sensing." Magnetic Resonance in Medicine (2019).

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