Deep curriculum learning for follow-up MRI registration in glioblastoma

Subhashis Banerjee; Dimitrios Toumpanakis; Ashis Kumar Dhara; Johan Wikström; Robin Strand

doi:10.1117/12.2654143

3 April 2023 Deep curriculum learning for follow-up MRI registration in glioblastoma

Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124643I (2023) https://doi.org/10.1117/12.2654143
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

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Abstract

This paper presents a weakly supervised deep convolutional neural network-based approach to perform voxel-level 3D registration between subsequent follow-up MRI scans of the same patient. To handle the large deformation in the surrounding brain tissues due to the tumor’s mass effect we proposed curriculum learning-based training for the network. Weak supervision helps the network to concentrate more focus on the tumor region and resection cavity through a saliency detection network. Qualitative and quantitative experimental results show the proposed registration network outperformed two popular state-of-the-art methods.

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Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, and Robin Strand "Deep curriculum learning for follow-up MRI registration in glioblastoma", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124643I (3 April 2023); https://doi.org/10.1117/12.2654143

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