High dynamic range processing for magnetic resonance imaging

Andy H. Hung, Taiyang Liang, Preeti A. Sukerkar, Thomas J. Meade

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Purpose: To minimize feature loss in T1- and T 2-weighted MRI by merging multiple MR images acquired at different TR and TE to generate an image with increased dynamic range. Materials and Methods: High Dynamic Range (HDR) processing techniques from the field of photography were applied to a series of acquired MR images. Specifically, a method to parameterize the algorithm for MRI data was developed and tested. T1- and T2-weighted images of a number of contrast agent phantoms and a live mouse were acquired with varying T R and TE parameters. The images were computationally merged to produce HDR-MR images. All acquisitions were performed on a 7.05 T Bruker PharmaScan with a multi-echo spin echo pulse sequence. Results: HDR-MRI delineated bright and dark features that were either saturated or indistinguishable from background in standard T1- and T2-weighted MRI. The increased dynamic range preserved intensity gradation over a larger range of T1 and T2 in phantoms and revealed more anatomical features in vivo. Conclusions: We have developed and tested a method to apply HDR processing to MR images. The increased dynamic range of HDR-MR images as compared to standard T1- and T2-weighted images minimizes feature loss caused by magnetization recovery or low SNR.

Original languageEnglish (US)
Article numbere77883
JournalPloS one
Issue number11
StatePublished - Nov 8 2013

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • General
  • Biochemistry, Genetics and Molecular Biology(all)


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