Introduction to Medical Image Registration with DeepReg, Between Old and New

A. Casamitjana; A. Grimwood; E. Bonmati; M. J. Clarkson; N. Montana Brown; Q. Yang; R. Delaunay; S. U. Saeed; T. Vercauteren; Y. Fu

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arxiv 2009.01924 v2 pith:IXK35N35 submitted 2020-08-29 eess.IV cs.CVcs.LGcs.MS

N. Montana Brown , Y. Fu , S. U. Saeed , A. Casamitjana , Z. M. C. Baum , R. Delaunay , Q. Yang , A. Grimwood

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Z. Min E. Bonmati T. Vercauteren M. J. Clarkson Y. Hu

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classification eess.IVcs.CVcs.LGcs.MS

keywords medicaldeepregimageregistrationclassicaldeeplearningmethods

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This document outlines a tutorial to get started with medical image registration using the open-source package DeepReg. The basic concepts of medical image registration are discussed, linking classical methods to newer methods using deep learning. Two iterative, classical algorithms using optimisation and one learning-based algorithm using deep learning are coded step-by-step using DeepReg utilities, all with real, open-accessible, medical data.

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