Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 38, Issue 7, Pages 1545-1558Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2019.2896180
Keywords
Experiment design; constrained MRI reconstruction; sparsity constraints; compressed sensing
Categories
Funding
- National Science Foundation (NSF) [CCF-1350563]
- National Institutes of Health (NIH) [NIH-R21-EB022951, NIH-R01-MH116173, NIH-R01-NS074980, NIH-R01-NS089212]
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This paper introduces a new estimation-theoretic framework for experiment design in the context of MR image reconstruction under sparsity constraints. The new framework is called OEDIPUS (Oracle-based Experiment Design for Imaging Parsimoniously Under Sparsity constraints) and is based on combining the constrained Cramer-Rao bound with classical experiment design techniques. Compared to popular random sampling approaches, OEDIPUS is fully deterministic and automatically tailors the sampling pattern to the specific imaging context of interest (i.e., accounting for coil geometry, anatomy, image contrast, etc.). OEDIPUS-based experiment designs are evaluated using retrospectively subsampled in vivo MRI data in several different contexts. The results demonstrate that OEDIPUS-based experiment designs have some desirable characteristics relative to conventional MRI sampling approaches.
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