2010 Summer Project Week HandN Cancer
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Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- Politecnico di Milano / MIT : Marta Peroni
- MIT: Polina Golland
- MGH: Greg Sharp
Objective
The project aims at allowing plan adaptation throughout the treatment course by means of CBCT. This imaging technique is at its early stage in radio– and proton-therapy application and it is not yet considered a reliable tool for planning. We would like to use Deformable registration algorithms and automatic segmentation for:
- dose adaptation on the basis of a displacement field obtained by image co-registration, which could nevetheless lead to non consistent plans both from physics and technology point of view (i.e. are not deliverable).
- organ shape prediction both intra- and across patients
Approach, Plan
Progress
