Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT

Yizhuang Song, Jin Keun Seo, Munish Chauhan, Aprinda Indahlastari, Neeta Ashok Kumar, Rosalind Sadleir

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


We sought to improve efficiency of magnetic resonance electrical impedance tomography data acquisition so that fast conductivity changes or electric field variations could be monitored. Undersampling of k-space was used to decrease acquisition times in spin-echo-based sequences by a factor of two. Full MREIT data were reconstructed using continuity assumptions and preliminary scans gathered without current. We found that phase data were reconstructed faithfully from undersampled data. Conductivity reconstructions of phantom data were also possible. Therefore, undersampled k-space methods can potentially be used to accelerate MREIT acquisition. This method could be an advantage in imaging real-time conductivity changes with MREIT.

Original languageEnglish
Article number045011
JournalPhysics in medicine and biology
Issue number4
Publication statusPublished - 2018 Feb 13

Bibliographical note

Funding Information:
YS was supported by National Natural Science Foundation of China (Grant No. 11501336, 11426147), Distinguished Middle-Aged and Young Scientist Encourage and Reward Foundation of Shandong Province (No. BS2014SF020) and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry. JS was supported by the National Research Foundation of Korea (NRF) grant 2015R1A5A1009350. MC, NAK and RJS were supported by the National Institute of Neurological Disorders and Stroke under grant R01NS077004 to RJS.

Publisher Copyright:
© 2018 Institute of Physics and Engineering in Medicine.

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT'. Together they form a unique fingerprint.

Cite this