Advanced image reconstruction strategies for 4D prostate DCE-MRI: Steps toward clinical practicality

Eric G. Stinson, Eric A. Borisch, Adam T. Froemming, Akira Kawashima, Phillip M. Young, Brent A. Warndahl, Roger C. Grimm, Armando Manduca, Stephen J Riederer, Joshua D Trazasko

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Dynamic contrast-enhanced (DCE) MRI is an important tool for the detection and characterization of primary and recurring prostate cancer. Advanced reconstruction strategies (e.g., sparse or low-rank regression) provide improved depiction of contrast dynamics and pharmacokinetic parameters; however, the high computation cost of reconstructing 4D (3D+time, 50+ frames) datasets typically inhibits their routine clinical use. Here, a novel alternating direction method-of-multipliers (ADMM) optimization strategy is described that enables these methods to be executed in ∠5 minutes, and thus within the standard clinical workflow. After overviewing the mechanics of this approach, high-performance implementation strategies will be discussed and demonstrated through clinical cases.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
ISBN (Print)9781628417630, 9781628417630
StatePublished - 2015
EventWavelets and Sparsity XVI - San Diego, United States
Duration: Aug 10 2015Aug 12 2015


OtherWavelets and Sparsity XVI
Country/TerritoryUnited States
CitySan Diego


  • ADMM
  • Clinical Practicality
  • Sparse Reconstruction

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics


Dive into the research topics of 'Advanced image reconstruction strategies for 4D prostate DCE-MRI: Steps toward clinical practicality'. Together they form a unique fingerprint.

Cite this