Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery

Ipshita Bhattacharya; Mathews Jacob

doi:10.1109/ISBI.2018.8363665

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Conference proceeding

Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery

Ipshita Bhattacharya and Mathews Jacob

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Vol.2018-, pp.679-682

04/2018

DOI: 10.1109/ISBI.2018.8363665

PMID: 33633819

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https://www.ncbi.nlm.nih.gov/pmc/articles/7902243View

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Abstract

Echo-planar spectroscopic imaging (EPSI) sequence with spectrally interleaving is often used to rapidly collect metabolic MRI data. The main problem in using it on high field scanners is the presence of spurious peaks resulting from phase distortions between interleaves as well as the low signal to noise ratio. We introduce a novel structured low-rank framework for the simultaneous denoising and deinterleaving of spectrally interleaved EPSI data. The proposed algorithm exploits annihilation relations resulting from the linear predicability of exponential signals as well as due to uncorrected phase relations between interleaves. The algorithm is formulated as a structured nuclear norm minimization of a block Hankel matrix, derived from the interleaves. Experiments using hyperpolarized 13 C mouse kidney EPSI data demonstrate the ability of the algorithm to remove ghost peaks from EPSI data collected using bipolar readout gradients.

Magnetic resonance imaging

Noise reduction

ghost peaks

Mice

echo planar spectroscopic imaging

Phase distortion

Kidney

structured low-rank recovery

Biomedical imaging

odd and even echoes

Details

Title: Subtitle: Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery
Creators: Ipshita Bhattacharya - Department of Electrical and Computer Engineering, University of Iowa, IA, USA
Mathews Jacob - Department of Electrical and Computer Engineering, University of Iowa, IA, USA
Resource Type: Conference proceeding
Publication Details: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Vol.2018-, pp.679-682
DOI: 10.1109/ISBI.2018.8363665
PMID: 33633819
NLM abbreviation: Proc IEEE Int Symp Biomed Imaging
ISSN: 1945-7928
eISSN: 1945-8452
Publisher: IEEE
Language: English
Date published: 04/2018
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984070759402771

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