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. Trzasko

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 publicationWavelets and Sparsity XVI
EditorsVivek K. Goyal, Dimitri Van De Ville, Dimitri Van De Ville, Manos Papadakis, Dimitri Van De Ville, Manos Papadakis, Vivek K. Goyal, Dimitri Van De Ville
ISBN (Electronic)9781628417630, 9781628417630
StatePublished - 2015
EventWavelets and Sparsity XVI - San Diego, United States
Duration: Aug 10 2015Aug 12 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherWavelets and Sparsity XVI
Country/TerritoryUnited States
CitySan Diego


  • ADMM
  • Clinical Practicality
  • Sparse Reconstruction

ASJC Scopus subject areas

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


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