A Novel Deformable Registration Method for Cerebral Magnetic Resonance Images-Reference-Cited by-同舟云学术

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A Novel Deformable Registration Method for Cerebral Magnetic Resonance Images

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Computer and Knowledge Engineering (ICCKE)
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Author:

Bayaz Bahareh Asadpour Dasht¹,Saadatmand Mahdi²,Wallois Fabrice³

Affiliation:

1. Ferdowsi University of Mashhad,Faculty of Engineering,Medical Imaging Lab Department of Electrical Engineering,Mashhad,Iran

2. Faculty of Engineering, University of Mashhad,Rayan Center for Neuroscience and Behavior & Medical Imaging Lab,Department of Electrical Engineering,Mashhad,Iran

3. INSERM, U1105, GRAMFC Université de Picardie,CHU Nord,Amiens,France,F80000

Funder

Cognitive Sciences and Technologies Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959861/9959975/09960086.pdf?arnumber=9960086

Reference23 articles.

1. Advances and challenges in deformable image registration: From image fusion to complex motion modelling

2. Determining optical flow

3. Multimodal matching by maximisation of mutual information and optical flow technique

4. Magnetic microbubble-mediated ultrasound-MRI registration based on robust optical flow model

5. Accurate inverse-consistent symmetric optical flow for 4D CT lung registration

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