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

doi:10.1117/12.2188527

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 proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Volume	9597
ISBN (Print)	9781628417630, 9781628417630
DOIs	https://doi.org/10.1117/12.2188527
State	Published - 2015
Event	Wavelets and Sparsity XVI - San Diego, United States Duration: Aug 10 2015 → Aug 12 2015

Other

Other	Wavelets and Sparsity XVI
Country/Territory	United States
City	San Diego
Period	8/10/15 → 8/12/15

Keywords

ADMM
Clinical Practicality
DCE-MRI
Sparse Reconstruction

ASJC Scopus subject areas

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

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10.1117/12.2188527

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Stinson, E. G., Borisch, E. A., Froemming, A. T., Kawashima, A., Young, P. M., Warndahl, B. A., Grimm, R. C., Manduca, A., Riederer, S. J., & Trazasko, J. D. (2015). Advanced image reconstruction strategies for 4D prostate DCE-MRI: Steps toward clinical practicality. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9597). [959704] SPIE. https://doi.org/10.1117/12.2188527

Stinson, EG, Borisch, EA, Froemming, AT, Kawashima, A, Young, PM, Warndahl, BA, Grimm, RC, Manduca, A , Riederer, SJ & Trazasko, JD 2015, Advanced image reconstruction strategies for 4D prostate DCE-MRI: Steps toward clinical practicality. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9597, 959704, SPIE, Wavelets and Sparsity XVI, San Diego, United States, 8/10/15. https://doi.org/10.1117/12.2188527

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

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.",

keywords = "ADMM, Clinical Practicality, DCE-MRI, Sparse Reconstruction",

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

year = "2015",

doi = "10.1117/12.2188527",

language = "English (US)",

isbn = "9781628417630",

volume = "9597",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

note = "Wavelets and Sparsity XVI ; Conference date: 10-08-2015 Through 12-08-2015",

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AU - Stinson, Eric G.

AU - Borisch, Eric A.

AU - Froemming, Adam T.

AU - Kawashima, Akira

AU - Young, Phillip M.

AU - Warndahl, Brent A.

AU - Grimm, Roger C.

AU - Manduca, Armando

AU - Riederer, Stephen J

AU - Trazasko, Joshua D

PY - 2015

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N2 - 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.

AB - 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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KW - Clinical Practicality

KW - DCE-MRI

KW - Sparse Reconstruction

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VL - 9597

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

Y2 - 10 August 2015 through 12 August 2015

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

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Keywords

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