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Abstract #2878

The Use of Quantitative T2 to Enhance Computed Diffusion Weighted Imaging

Lin Cheng 1 , Matthew D. Blackledge 1 , David J. Collins 1 , Nina Tunariu 1 , Martin O. Leach 1 , and Dow-Mu Koh 1

1 Institute of Cancer Research, Sutton, London, United Kingdom

Diffusion weighted magnetic resonance (DW-MR) imaging in the body is used for tumour detection based on its high contrast between lesion and normal tissue. Previous studies have shown that computed diffusion-weighted MR Imaging (cDWI) provides a means of improving image contrast through synthesis of high-b-value DW images. The cDWI method has intrinsic T2 contrast, estimating T2 allows us to improve the cDWI technique by exploiting variable T2 contrast. The purpose of this study is to describe a modified cDWI model that provides synthetic images at arbitrary b-values and echo-times. We demonstrate the methods improved image contrast and tumour detection.

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