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Proceedings Paper

Implementation of compressive sensing for preclinical cine-MRI
Author(s): Elliot Tan; Ming Yang; Lixin Ma; Yahong Rosa Zheng
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Paper Abstract

This paper presents a practical implementation of Compressive Sensing (CS) for a preclinical MRI machine to acquire randomly undersampled k-space data in cardiac function imaging applications. First, random undersampling masks were generated based on Gaussian, Cauchy, wrapped Cauchy and von Mises probability distribution functions by the inverse transform method. The best masks for undersampling ratios of 0.3, 0.4 and 0.5 were chosen for animal experimentation, and were programmed into a Bruker Avance III BioSpec 7.0T MRI system through method programming in ParaVision. Three undersampled mouse heart datasets were obtained using a fast low angle shot (FLASH) sequence, along with a control undersampled phantom dataset. ECG and respiratory gating was used to obtain high quality images. After CS reconstructions were applied to all acquired data, resulting images were quantitatively analyzed using the performance metrics of reconstruction error and Structural Similarity Index (SSIM). The comparative analysis indicated that CS reconstructed images from MRI machine undersampled data were indeed comparable to CS reconstructed images from retrospective undersampled data, and that CS techniques are practical in a preclinical setting. The implementation achieved 2 to 4 times acceleration for image acquisition and satisfactory quality of image reconstruction.

Paper Details

Date Published: 21 March 2014
PDF: 9 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903423 (21 March 2014); doi: 10.1117/12.2043968
Show Author Affiliations
Elliot Tan, Princeton Univ. (United States)
Ming Yang, Univ. of Missouri-Columbia (United States)
Harry S. Truman Veteran Hospital (United States)
Lixin Ma, Univ. of Missouri-Columbia (United States)
Harry S. Truman Veteran Hospital (United States)
Yahong Rosa Zheng, Missouri Univ. of Science and Technology (United States)


Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

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