Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion

Stephen Siemonsma; Stanley Kruger; Arvind Balachandrasekaran; Merry Mani; Mathews Jacob

doi:10.1109/ISBI45749.2020.9098418

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Conference proceeding

Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion

Stephen Siemonsma, Stanley Kruger, Arvind Balachandrasekaran, Merry Mani and Mathews Jacob

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.1074-1077

04/2020

DOI: 10.1109/ISBI45749.2020.9098418

PMCID: PMC8526283

PMID: 34671437

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https://www.ncbi.nlm.nih.gov/pmc/articles/8526283View

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Abstract

Echo-planar imaging (EPI), which is the main workhorse of functional MRI, suffers from field inhomogeneity-induced geometric distortions. The amount of distortion is proportional to the readout duration, which restricts the maximum achievable spatial resolution. The spatially varying nature of the T_{2}^{\ast} decay makes it challenging for EPI schemes with a single echo time to obtain good sensitivity to functional activations in different brain regions. Despite the use of parallel MRI and multislice acceleration, the number of different echo times that can be acquired in a reasonable TR is limited. The main focus of this work is to introduce a rosette-based acquisition scheme and a structured low-rank reconstruction algorithm to overcome the above challenges. The proposed scheme exploits the exponential structure of the time series to recover distortion-free images from several echoes simultaneously.

structured low-rank

MRI

multi-echo

Details

Title: Subtitle: Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion
Creators: Stephen Siemonsma - University of Iowa,Iowa City,IA,USA
Stanley Kruger - University of Iowa,Iowa City,IA,USA
Arvind Balachandrasekaran - Harvard Medical School,Boston,MA,USA
Merry Mani - University of Iowa,Iowa City,IA,USA
Mathews Jacob - University of Iowa,Iowa City,IA,USA
Resource Type: Conference proceeding
Publication Details: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.1074-1077
DOI: 10.1109/ISBI45749.2020.9098418
PMID: 34671437
PMCID: PMC8526283
NLM abbreviation: Proc IEEE Int Symp Biomed Imaging
eISSN: 1945-8452
Publisher: IEEE
Language: English
Date published: 04/2020
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984070721802771

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