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Projection reconstruction MR imaging using FOCUSS
Author(s) -
Ye Jong Chul,
Tak Sungho,
Han Yeji,
Park Hyun Wook
Publication year - 2007
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.21202
Subject(s) - underdetermined system , projection (relational algebra) , solver , iterative reconstruction , computer science , convergence (economics) , algorithm , artificial intelligence , computer vision , economics , economic growth , programming language
Abstract The focal underdetermined system solver (FOCUSS) was originally designed to obtain sparse solutions by successively solving quadratic optimization problems. This article adapts FOCUSS for a projection reconstruction MR imaging problem to obtain high resolution reconstructions from angular under‐sampled radial k ‐space data. We show that FOCUSS is effective for projection reconstruction MRI, since medical images are usually sparse in some sense and the center region of the undersampled radial k ‐space samples still provides a low resolution, yet meaningful, image essential for the convergence of FOCUSS. The new algorithm is successfully applied for synthetic data as well as in vivo brain imaging obtained by under‐sampled radial spin echo sequence. Magn Reson Med 57:764–775, 2007. © 2007 Wiley‐Liss, Inc.