Hybrid-CSR: Coupling Explicit and Implicit Reconstruction of Cortical Surface


shanlin sun (University of California, Irvine), Tung Le (University of California, Irvine), Pooya Khosravi (University of California, Irvine), Chenyu You (State University of New York at Stony Brook), Kun Han (University of California, Irvine), Haoyu Ma (Meta Platforms, Inc), Deying Kong (University of California, Irvine), Xiangyi Yan (University of California, Irvine), Xiaohui Xie (University of California, Irvine)
The 35th British Machine Vision Conference
PDFPosterSupplementary

Abstract

We present Hybrid-CSR, a geometric deep-learning model that combines explicit and implicit shape representations for cortical surface reconstruction. Specifically, Hybrid-CSR begins with explicit deformations of template meshes to obtain coarsely reconstructed cortical surfaces, based on which the oriented point clouds are estimated for the subsequent differentiable poisson surface reconstruction. By doing so, our method unifies explicit (oriented point clouds) and implicit (indicator function) cortical surface reconstruction. Compared to explicit representation-based methods, our hybrid approach is more friendly to capture detailed structures, and when compared with implicit representation-based methods, our method can be topology aware because of end-to-end training with a mesh-based deformation module. In order to address topology defects, we propose a new topology correction pipeline that relies on optimization-based diffeomorphic surface registration. Experimental results on three brain datasets show that our approach surpasses existing implicit and explicit cortical surface reconstruction methods in numeric metrics in terms of accuracy, regularity, and consistency. Our code will be publicly released when published.

Citation

@inproceedings{sun_2024_BMVC,
author    = {shanlin sun and Tung Le and Pooya Khosravi and Chenyu You and Kun Han and Haoyu Ma and Deying Kong and Xiangyi Yan and Xiaohui Xie},
title     = {Hybrid-CSR: Coupling Explicit and Implicit Reconstruction of Cortical Surface},
booktitle = {35th British Machine Vision Conference 2024, {BMVC} 2024, Glasgow, UK, November 25-28, 2024},
publisher = {BMVA},
year      = {2024},
url       = {https://papers.bmvc2024.org/0557.pdf}
}


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