Paper
11 September 2015 Advanced image reconstruction strategies for 4D prostate DCE-MRI: steps toward clinical practicality
Eric G. Stinson, Eric A. Borisch, Adam T. Froemming M.D., Akira Kawashima M.D., Phillip M. Young M.D., Brent A. Warndahl, Roger C. Grimm, Armando Manduca, Stephen J. Riederer, Joshua D. Trzasko
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric G. Stinson, Eric A. Borisch, Adam T. Froemming M.D., Akira Kawashima M.D., Phillip M. Young M.D., 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); https://doi.org/10.1117/12.2188527
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Cited by 1 scholarly publication.
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KEYWORDS
Prostate

Magnetic resonance imaging

Image quality

Reconstruction algorithms

Data acquisition

Prostate cancer

Signal to noise ratio

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