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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