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Abstract #5337

Model-Based Iterative Reconstruction for in vivo Diffusion Quantification

Jannik Marcel Arbogast1, Anna-Katinka Bracher2, Meinrad Beer2, Henning Neubauer2, and Volker Rasche1

1Internal Medicine II, University Ulm Medical Center, Ulm, Germany, 2Radiology, University Ulm Medical Center, Ulm, Germany

A model-based iterative reconstruction of the apparent diffusion coefficient (ADC) is introduced enabling the quantification of diffusion properties from undersampled DWI data of human knee joints. The approach uses an underlying model function to synthesize k-space data containing crucial phase information. A NLCG is implemented for ADC reconstruction comparing synthetic and measured k-space data. In vivo data of nine subjects show up to 3.5-fold acceleration of the DWI sequence without losing substantial accuracy of the ADC estimates.

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