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Abstract #1979

Microstructure Imaging of Head and Neck Cancers using an Oscillating Diffusion Gradient Sequence and a Random Walk with Barriers Model

Siamak Nejad-Davarani1, Michelle Mierzwa1, Thorsten Feiweier2, Keith Casper3, and Yue Cao1,4
1Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States, 4Department of Radiology, University of Michigan, Ann Arbor, MI, United States


In vivo microstructure imaging based on diffusion weighted imaging can provide valuable information on tumor characteristics and response to cancer therapy. An oscillating diffusion gradient spin-echo sequence was used to acquire DW images with short diffusion times, along with those acquired by a pulsed diffusion gradient spin-echo sequence. Using a random walk with barriers model, microstructure/diffusion parameters in primary and nodal head and neck tumors were estimated prior to, and after two weeks of cancer treatment. Results show feasibility of this method to detect significant changes in these parameters, across the two imaging time points.

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