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Proceedings Paper

3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle
Author(s): Brice Hirst; Yahong Rosa Zheng; Ming Yang; Lixin Ma
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Paper Abstract

This paper explores a three-dimensional compressive sensing (CS) technique for reducing measurement time in magnetic resonance imaging (MRI) of the murine (mouse) cardiac cycle. By randomly undersampling a single 2D slice of a mouse heart at regular time intervals as it expands and contracts through the stages of a heartbeat, a CS reconstruction algorithm can be made to exploit transform sparsity in time as well as space. For the purposes of measuring the left ventricular volume in the mouse heart, this 3D approach offers significant advantages against classical 2D spatial compressive sensing.

Paper Details

Date Published: 13 March 2013
PDF: 13 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866928 (13 March 2013); doi: 10.1117/12.2006591
Show Author Affiliations
Brice Hirst, Missouri Univ. of Science & Technology (United States)
Yahong Rosa Zheng, Missouri Univ. of Science & Technology (United States)
Ming Yang, Univ. of Missouri (United States)
Harry S. Truman Memorial Veteran's Hospital (United States)
Lixin Ma, Univ. of Missouri (United States)
Harry S. Truman Memorial Veteran's Hospital (United States)


Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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