3D Spatio-temporal Analysis for Compressive Sensing in Magnetic Resonance Imaging of the Murine Cardiac Cycle
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. © 2013 SPIE.
Recommended Citation
B. Hirst et al., "3D Spatio-temporal Analysis for Compressive Sensing in Magnetic Resonance Imaging of the Murine Cardiac Cycle," Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8669, article no. 866928, Society of Photo-Optical Instrumentation Engineers (SPIE), Jun 2013.
The definitive version is available at https://doi.org/10.1117/12.2006591
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Compressive sensing; Mouse heart; MRI; Random sampling; Three-dimensional
International Standard Book Number (ISBN)
978-081949443-6
International Standard Serial Number (ISSN)
1605-7422
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE), All rights reserved.
Publication Date
03 Jun 2013
