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Abstract #0894

Restriction-weighting in tensor-valued diffusion encoding: A novel experimental framework demonstrated in human prostate cancer xenograft

Malwina Molendowska1,2, Samo Lasič3,4, Joanna Strand5,6, and Filip Szczepankiewicz1
1Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, 2Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 3Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 4Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden, 5Department of Clinical Sciences Lund, Oncology, Lund University, Lund, Sweden, 6Department of Hematology, Oncology, Radiation Physics, Skåne University Hospital, Lund University, Lund, Sweden

Synopsis

Keywords: Microstructure, Microstructure, Signal Representations, Prostate, Cancer

Motivation: Restricted diffusion effects in tensor-valued encoding can lead to parameter error due to diffusion time-dependence.

Goal(s): Accurate interpretation of diffusion process by joint quantification of restricted diffusion, microscopic diffusional variance/anisotropy, and their covariances.

Approach: We propose a novel diffusion encoding scheme and an extended signal representation to capture both Gaussian and restriction effects. We demonstrate the method in a human prostate cancer xenograft in vivo (mouse model).

Results: The analysis reveals prominent effects of restricted diffusion and time-dependence in all parameter maps, and the covariances terms were found to be non-negligible.

Impact: We propose an experimental design and analysis of tensor-valued diffusion encoding that incorporates effects of restricted diffusion. The results shed light on confounding effects of restricted diffusion in tensor-valued encoding experiments with mixed encoding frequencies.

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