Paper
28 February 2007 High resolution projection reconstruction MR imaging using FOCUSS
Author Affiliations +
Proceedings Volume 6498, Computational Imaging V; 64981A (2007) https://doi.org/10.1117/12.704886
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
This paper is concerned about high resolution reconstruction of projection reconstruction MR imaging from angular under-sampled k-space data. A similar problem has been recently addressed in the framework of compressed sensing theory. Unlike the existing algorithms used in compressed sensing theory, this paper employs the FOCal Underdetermined System Solver(FOCUSS), which was originally designed for EEG and MEG source localization to obtain sparse solution by successively solving quadratic optimization. We show that FOCUSS is very effective for the projection reconstruction MRI, because the medical images are usually sparse in image domain, and the center region of the under-sampled radial k-space data still provides a meaningful low resolution image, which is essential for the convergence of FOCUSS. We applied FOCUSS for projection reconstruction MR imaging using single coil. Extensive experiments confirms that high resolution reconstruction with virtually free of angular aliasing artifacts can be obtained from severely under-sampled k-space data.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sungho Tak, Jaeheung Yoo, and Jong Chul Ye "High resolution projection reconstruction MR imaging using FOCUSS", Proc. SPIE 6498, Computational Imaging V, 64981A (28 February 2007); https://doi.org/10.1117/12.704886
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KEYWORDS
Reconstruction algorithms

Magnetic resonance imaging

Image resolution

Medical imaging

Compressed sensing

Spatial resolution

Computer simulations

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