Multi-modality Image Registration using the Decomposition Model



Ibrahim, Mazlinda and Chen, Ke ORCID: 0000-0002-6093-6623
(2017) Multi-modality Image Registration using the Decomposition Model. In: THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society.

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Abstract

In medical image analysis, image registration is one of the crucial steps required to facilitate automatic segmentation, treatment planning and other application involving imaging machines. Image registration, also known as image matching, aims to align two or more images so that information obtained can be compared and combined. Different imaging modalities and their characteristics make the task more challenging. We propose a decomposition model combining parametric and non-parametric deformation for multi-modality image registration. Numerical results show that the normalised gradient field perform better than the mutual information with the decomposition model.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Biomedical Imaging
Depositing User: Symplectic Admin
Date Deposited: 30 Jun 2017 10:34
Last Modified: 16 Mar 2024 15:26
DOI: 10.1063/1.4980870
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3008232