Weighted Metamorphosis for registration of images with different topology.Download PDF

Published: 22 Feb 2022, Last Modified: 05 May 2023WBIR 2022Readers: Everyone
Keywords: Image registration, Metamorphosis, Topology variation, Brain tumour
TL;DR: This article present an extension of the Metamorphosis algorithm.
Abstract: We present an extension of the Metamorphosis algorithm to align images with a different topology and/or appearance. We propose to restrict/limit the metamorphic intensity additions using a time-varying spatial weight function. It can be used to model prior knowledge about the topological/appearance changes (e.g., tumour/oedema). We show that our method improves the disentanglement between anatomical (i.e., shape) and topological (i.e., appearance) changes, thus improving the registration interpretability and its clinical usefulness. As clinical application, we validated our method using MR brain tumour images from the BraTS 2021 dataset. We showed that our method can better align healthy brain templates to images with brain tumours than existing state-of-the-art methods. Our PyTorch code is freely available here: https://anonymous.4open.science/r/weighted_metamorphosis-1DC7/.
Dataset Code: code : https://github.com/antonfrancois/Demeter_metamorphosis data_set : http://braintumorsegmentation.org/
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