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Functional diffusion map (fDM) has been recently reported as an early and quantitative biomarker of clinical brain tumor treatment outcome.
MRI functional diffusion maps have also been shown to provide early indications of brain tumour response to radiotherapy and chemotherapy treatments (Moffat et al. 2005).
Functional diffusion maps have also been found to indicate the response of prostate bone metastasis to antiandrogen therapy (Reischauer et al. 2010).
Our goal was to evaluate a voxel-based biomarker, the functional diffusion map (fDM), as an imaging biomarker to detect heterogeneity of tumor response in a radiation dose escalation protocol using a genetically engineered murine GBM model.
We report on a functional diffusion tensor imaging (fDTI) method that measures task-related changes in fractional anisotropy (FA) along white matter tracts.
In this paper we present a functional diffusion tensor imaging (fDTI) method that is able to detect task-related changes in FA that may represent the activity of white matter tracts.
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The MRI protocol consisted of morphologic, T1- and T2-weighted (T1W/T2W), and functional, diffusion-weighted and dynamic contrast-enhanced (DW/DCE), sequences covering the pelvis and the lower abdomen.
We have made one of the first efforts to investigate the structure-function relations in the human language circuitry using a combination of functional and diffusion MRI.
The imaging methods cover structural MRI, functional MRI, diffusion-weighted imaging, and diffusion tensor imaging.
In this paper, our purpose is to consider the optimal control of the profit functional for diffusion population.
This has led to the proposal of new registration methods using features derived from functional and diffusion imaging.
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