Aarhus University Seal / Aarhus Universitets segl

Di-chromatic interpolation of magnetic resonance metabolic images

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Nicholas Dwork, Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA.
  • ,
  • Jeremy W Gordon, Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA., United States
  • Shuyu Tang, Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA., United States
  • Daniel O'Connor, Department of Mathematics and Statistics, University of San Francisco, United States
  • Esben Søvsø Szocska Hansen
  • Christoffer Laustsen
  • Peder E Z Larson, Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA., United States

OBJECTIVE: Magnetic resonance imaging with hyperpolarized contrast agents can provide unprecedented in vivo measurements of metabolism, but yields images that are lower resolution than that achieved with proton anatomical imaging. In order to spatially localize the metabolic activity, the metabolic image must be interpolated to the size of the proton image. The most common methods for choosing the unknown values rely exclusively on values of the original uninterpolated image.

METHODS: In this work, we present an alternative method that uses the higher-resolution proton image to provide additional spatial structure. The interpolated image is the result of a convex optimization algorithm which is solved with the fast iterative shrinkage threshold algorithm (FISTA).

RESULTS: Results are shown with images of hyperpolarized pyruvate, lactate, and bicarbonate using data of the heart and brain from healthy human volunteers, a healthy porcine heart, and a human with prostate cancer.

Original languageEnglish
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Volume34
Issue1
Pages (from-to)57-72
Number of pages16
ISSN0968-5243
DOIs
Publication statusPublished - Feb 2021

See relations at Aarhus University Citationformats

ID: 209337159