11 September 2015 Advanced image reconstruction strategies for 4D prostate DCE-MRI: steps toward clinical practicality
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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.
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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, and Joshua D. Trzasko "Advanced image reconstruction strategies for 4D prostate DCE-MRI: steps toward clinical practicality", Proc. SPIE 9597, Wavelets and Sparsity XVI, 959704 (11 September 2015); doi: 10.1117/12.2188527; https://doi.org/10.1117/12.2188527
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