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Proceedings Paper

Super-resolution reconstruction in MRI: better images faster?
Author(s): Esben Plenge; Dirk H. J. Poot; Monique Bernsen; Gyula Kotek; Gavin Houston; Piotr Wielopolski; Louise van der Weerd; Wiro J. Niessen; Erik Meijering
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Paper Abstract

Improving the resolution in magnetic resonance imaging (MRI) is always done at the expense of either the signal-to-noise ratio (SNR) or the acquisition time. This study investigates whether so-called super-resolution reconstruction (SRR) is an advantageous alternative to direct high-resolution (HR) acquisition in terms of the SNR and acquisition time trade-offs. An experimental framework was designed to accommodate the comparison of SRR images with direct high-resolution acquisitions with respect to these trade-offs. The framework consisted, on one side, of an image acquisition scheme, based on theoretical relations between resolution, SNR, and acquisition time, and, on the other side, of a protocol for reconstructing SRR images from a varying number of acquired low-resolution (LR) images. The quantitative experiments involved a physical phantom containing structures of known dimensions. Images reconstructed by three SRR methods, one based on iterative back-projection and two on regularized least squares, were quantitatively and qualitatively compared with direct HR acquisitions. To visually validate the quantitative evaluations, qualitative experiments were performed, in which images of three different subjects (a phantom, an ex-vivo rat knee, and a post-mortem mouse) were acquired with different MRI scanners. The quantitative results indicate that for long acquisition times, when multiple acquisitions are averaged to improve SNR, SRR can achieve better resolution at better SNR than direct HR acquisitions.

Paper Details

Date Published: 24 February 2012
PDF: 8 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143V (24 February 2012); doi: 10.1117/12.911235
Show Author Affiliations
Esben Plenge, Erasmuc MC (Netherlands)
Dirk H. J. Poot, Erasmuc MC (Netherlands)
Monique Bernsen, Erasmuc MC (Netherlands)
Gyula Kotek, Erasmuc MC (Netherlands)
Gavin Houston, Erasmuc MC (Netherlands)
Piotr Wielopolski, Erasmuc MC (Netherlands)
Louise van der Weerd, Leiden Univ. Medical Ctr. (Netherlands)
Wiro J. Niessen, Erasmuc MC (Netherlands)
Delft Univ. of Technology (Netherlands)
Erik Meijering, Erasmuc MC (Netherlands)


Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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