2024-12-23-sideri-lampretsa24a.md

title	abstract	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
SINR: Spline-enhanced implicit neural representation for multi-modal registration	Deformable image registration has undergone a transformative shift with the advent of deep learning. While convolutional neural networks (CNNs) allow for accelerated registration, they exhibit reduced accuracy compared to iterative pairwise optimization methods and require extensive training cohorts. Based on the advances in representing signals with neural networks, implicit neural representations (INRs) have emerged in the registration community to model dense displacement fields continuously. Using a pairwise registration setup, INRs mitigate the bias learned over a cohort of patients while leveraging advanced methodology and gradient-based optimization. However, the coordinate sampling scheme makes dense transformation parametrization with an INR prone to generating physiologically implausible configurations resulting in spatial folding. In this paper, we introduce SINR - a method to parameterize the continuous deformable transformation represented by an INR using Free Form Deformations (FFD). SINR allows for multi-modal deformable registration while mitigating folding issues found in current INR-based registration methods. SINR outperforms existing state-of-the-art methods on both 3D mono- and multi-modal brain registration on the CamCAN dataset, demonstrating its capabilities for pairwise mono- and multi-modal image registration.	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	sideri-lampretsa24a	0	SINR: Spline-enhanced implicit neural representation for multi-modal registration	1462	1474	1462-1474	1462	false	Sideri-Lampretsa, Vasiliki and McGinnis, Julian and Qiu, Huaqi and Paschali, Magdalini and Simson, Walter and Rueckert, Daniel	given family Vasiliki Sideri-Lampretsa given family Julian McGinnis given family Huaqi Qiu given family Magdalini Paschali given family Walter Simson given family Daniel Rueckert	2024-12-23		Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning	250	inproceedings	date-parts 2024 12 23	https://raw.githubusercontent.com/mlresearch/v250/main/assets/sideri-lampretsa24a/sideri-lampretsa24a.pdf