2010 Summer Project Week HandN Cancer

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  Projects List

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  Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

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  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

Delivery Mechanism

References