COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation

Lixuan Chen, Xuanyu Tian, Jiangjie Wu, Guoyan Lao, Yuyao Zhang, Hongjiang Wei

Abstract: Highlights•First proposal of tackling improving temporal consistency of atlases as an image denoising task.•Used the implicit neural representation (INR) to represent the longitudinal atlases as an implicit function.•Used the continuity prior inherent in the implicit function to facilitate self-supervised learning denoising.•Constructed consistent spatial–temporal longitudinal atlases.