Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

Ryan L. Brunsing, Natalie M. Schenker-Ahmed, Nathan S. White, J. Kellogg Parsons, Christopher Kane, Joshua Kuperman, Hauke Bartsch, Andrew Karim Kader, Rebecca Rakow-Penner, Tyler M. Seibert, Daniel Margolis, Steven S. Raman, Carrie R. McDonald, Nikdokht Farid, Santosh Kesari, Donna Hansel, Ahmed Shabaik, Anders M. Dale, David S. Karow

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

Restriction spectrum imaging (RSI) is a novel diffusion-weighted MRI technique that uses the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 min on modern scanners using a surface coil. Multiple field gradients and high b-values in combination with postprocessing techniques allow the simultaneous resolution of length-scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also uses a distortion correction technique and can thus be fused to high resolution T2-weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review, we discuss the acquisition, postprocessing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting. Level of Evidence: 5. J. Magn. Reson. Imaging 2017;45:323–336.

Original languageEnglish (US)
Pages (from-to)323-336
Number of pages14
JournalJournal of Magnetic Resonance Imaging
Volume45
Issue number2
DOIs
StatePublished - Feb 1 2017
Externally publishedYes

Keywords

  • biomarker
  • diffusion-weighted imaging
  • prostate cancer
  • restriction spectrum imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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