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

08/29/2020
by   N. Montana Brown, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/04/2020

DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
research
06/26/2018

AirLab: Autograd Image Registration Laboratory

Medical image registration is an active research topic and forms a basis...
research
12/08/2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

To date few studies have comprehensively compared medical image registra...
research
02/22/2023

Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review

Medical image registration seeks to find an optimal spatial transformati...
research
08/03/2022

Medical image registration using unsupervised deep neural network: A scoping literature review

In medicine, image registration is vital in image-guided interventions a...
research
02/09/2020

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review

Image-guided interventions are saving the lives of a large number of pat...
research
03/17/2023

ASymReg: Robust symmetric image registration using anti-symmetric formulation and deformation inversion layers

Deep learning based deformable medical image registration methods have e...

Please sign up or login with your details

Forgot password? Click here to reset