3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle

Brice Hirst; Yahong Rosa Zheng; Ming Yang; Lixin Ma

doi:10.1117/12.2006591

13 March 2013 3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle

Brice Hirst, Yahong Rosa Zheng, Ming Yang, Lixin Ma

Author Affiliations +

Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 866928 (2013) https://doi.org/10.1117/12.2006591
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Brice Hirst, Yahong Rosa Zheng, Ming Yang, and Lixin Ma "3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866928 (13 March 2013); https://doi.org/10.1117/12.2006591

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