Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration

Autor:	Jalili-Mallak, Negar, Tu, Yanshuai, Lu, Zhong-Lin, Wang, Yalin
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	Retinotopic mapping aims to uncover the relationship between visual stimuli on the retina and neural responses on the visual cortical surface. This study advances retinotopic mapping by applying diffeomorphic registration to the 3T NYU retinotopy dataset, encompassing analyze-PRF and mrVista data. Diffeomorphic Registration for Retinotopic Maps (DRRM) quantifies the diffeomorphic condition, ensuring accurate alignment of retinotopic maps without topological violations. Leveraging the Beltrami coefficient and topological condition, DRRM significantly enhances retinotopic map accuracy. Evaluation against existing methods demonstrates DRRM's superiority on various datasets, including 3T and 7T retinotopy data. The application of diffeomorphic registration improves the interpretability of low-quality retinotopic maps, holding promise for clinical applications. Comment: 5 pages, 1 figures, 2 tables, 2024 IEEE International Symposium on Biomedical Imaging
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.01552 Zobrazit plný text záznamu View this record from Arxiv