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Quantitative probabilistic functional diffusion mapping in newly diagnosed glioblastoma treated with radiochemotherapy

by: Benjamin M. Ellingson, Timothy F. Cloughesy, Albert Lai, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope
Neuro-Oncology (28 December 2012), doi:10.1093/neuonc/nos314  Key: citeulike:11868649

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Abstract

Background Functional diffusion mapping (fDM) is a cancer imaging technique that uses voxel-wise changes in apparent diffusion coefficients (ADC) to evaluate response to treatment. Despite promising initial results, uncertainty in image registration remains the largest barrier to widespread clinical application. The current study introduces a probabilistic approach to fDM quantification to overcome some of these limitations.


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