Hierarchical eigenmodes to characterize bladder motion and deformation in prostate cancer radiotherapy
Abstract
In radiotherapy for prostate cancer the bladder presents the largest inter-fraction shape variations during treatment resulting in random geometric uncertainties that may increase the risk of developing side-effects. In this setting, our interest is thus to propose a hierarchical population model, based on longitudinal data, to characterize bladder motion and deformation between fractions. This method is based on a principal component analysis...
Paper Details
Title
Hierarchical eigenmodes to characterize bladder motion and deformation in prostate cancer radiotherapy
Published Date
Jan 27, 2017
Journal
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