Journal article

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head

Kh Tohidul Islam, Sudanthi Wijewickrema, Stephen O'Leary

SCIENTIFIC REPORTS | NATURE RESEARCH | Published : 2021

Abstract

Image registration is a fundamental task in image analysis in which the transform that moves the coordinate system of one image to another is calculated. Registration of multi-modal medical images has important implications for clinical diagnosis, treatment planning, and image-guided surgery as it provides the means of bringing together complimentary information obtained from different image modalities. However, since different image modalities have different properties due to their different acquisition methods, it remains a challenging task to find a fast and accurate match between multi-modal images. Furthermore, due to reasons such as ethical issues and need for human expert intervention..

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University of Melbourne Researchers

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Funding Acknowledgements

The authors would like to thank Dr. Bridget Copson of the Department of Medical Imaging at St. Vincent's Hospital, Melbourne, Australia, for conducting the manual assessment of the ground truth generation technique. This work was supported by the University of Melbourne and the Australian Government under the Melbourne Research Scholarship (MRS) and Research Training Program (RTP) Scholarship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.