Volume regularization in explicit image registration used for breast cancer bed localization

A breast tumor bed localization is a challenging task for a supportive radiotherapy performed after an oncoplastic surgery. The tumor bed position can be determined by the segmented cancer contour propagation. We introduce a computationally efficient regularization method for the tumor volume contraction and a log-linear error function. The results are validated by an ability to reconstruct artificial but real-like deformation fields and a breast tumors relative volume reduction. We show that both the volume regularization and the log-linear error function improve the applied deformation field reconstruction and increase the relative tumor bed volume contraction.

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