Model-Based Iterative Reconstruction for Echo Planar Imaging: Methods and Applications

Uten Yarach, Matt A. Bernstein, John Huston, Myung Ho In, Daehun Kang, Yunhong Shu, Erin M. Gray, Nolan Meyer, Joshua D. Trzasko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Echo planar imaging is widely-used clinical settings, for its speed. EPI acquisitions typically employ complex sampling protocols, and correspondingly require advanced reconstruction plans both to account for non-uniform data spacing and for managing system imperfections such as B0-field inhomogeneity, gradient non-linearity, and eddy currents, as well as subject-induced non-idealities like susceptibility variation. Such non-idealities are typically managed after the k-space to image domain transformation, which generates geometrical inaccuracies and blurring in images. In this work, we develop and investigate a comprehensive model-based iterative reconstruction (MBIR) framework that prospectively accounts for multiple non-idealities in accelerated single-shot EPI. When necessary, we also employ nonlinear regularization to mitigate noise amplification.

Original languageEnglish (US)
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages61-64
Number of pages4
ISBN (Electronic)9781728143002
DOIs
StatePublished - Nov 2019
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: Nov 3 2019Nov 6 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
CountryUnited States
CityPacific Grove
Period11/3/1911/6/19

Keywords

  • and iterative reconstruction
  • B0 inhomogeneity
  • echo planar imaging (EPI)
  • gradient non-linearity

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Model-Based Iterative Reconstruction for Echo Planar Imaging: Methods and Applications'. Together they form a unique fingerprint.

  • Cite this

    Yarach, U., Bernstein, M. A., Huston, J., In, M. H., Kang, D., Shu, Y., Gray, E. M., Meyer, N., & Trzasko, J. D. (2019). Model-Based Iterative Reconstruction for Echo Planar Imaging: Methods and Applications. In M. B. Matthews (Ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 (pp. 61-64). [9048792] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/IEEECONF44664.2019.9048792