Details

Autor(en) / Beteiligte

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

Titel

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

Ist Teil von

• 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019, p.61-64

Ort / Verlag

IEEE

Erscheinungsjahr

2019

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• 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.