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Proceedings Paper

Advanced image reconstruction strategies for 4D prostate DCE-MRI: steps toward clinical practicality
Author(s): 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
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Paper Abstract

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.

Paper Details

Date Published: 11 September 2015
PDF: 7 pages
Proc. SPIE 9597, Wavelets and Sparsity XVI, 959704 (11 September 2015); doi: 10.1117/12.2188527
Show Author Affiliations
Eric G. Stinson, Mayo Clinic (United States)
Eric A. Borisch, Mayo Clinic (United States)
Adam T. Froemming, Mayo Clinic (United States)
Akira Kawashima, Mayo Clinic (United States)
Phillip M. Young, Mayo Clinic (United States)
Brent A. Warndahl, Mayo Clinic (United States)
Roger C. Grimm, Mayo Clinic (United States)
Armando Manduca, Mayo Clinic (United States)
Stephen J. Riederer, Mayo Clinic (United States)
Joshua D. Trzasko, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 9597:
Wavelets and Sparsity XVI
Manos Papadakis; Vivek K. Goyal; Dimitri Van De Ville, Editor(s)

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