Deep learning-based group-wise registration for longitudinal MRI analysis in glioma

06/18/2023
by   Claudia Chinea Hammecher, et al.
0

Glioma growth may be quantified with longitudinal image registration. However, the large mass-effects and tissue changes across images pose an added challenge. Here, we propose a longitudinal, learning-based, and groupwise registration method for the accurate and unbiased registration of glioma MRI. We evaluate on a dataset from the Glioma Longitudinal AnalySiS consortium and compare it to classical registration methods. We achieve comparable Dice coefficients, with more detailed registrations, while significantly reducing the runtime to under a minute. The proposed methods may serve as an alternative to classical toolboxes, to provide further insight into glioma growth.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset