P3.08. INVESTIGATING THE CONTRIBUTIONS OF IMAGE QUALITY TRANSFER IN THE DIAGNOSIS AND UNDERSTANDING OF PARKINSON'S DISEASE
Mathilde Langlois1,2, Romain Valabrègue3, Mélanie Didier3, Rahul Gaurav1, Salim Ouarab3, François-Xavier Lejeune4, Esther Kozlowski1,2, Stéphane Lehéricy1,2,3
1 Paris Brain Institute (ICM), MovIt, Hôpital Pitié, 47 Bd de l'Hôpital, Paris, France
2 Sorbonne Université, Ecole Cerveau Cognition Comportement (ED3C), Paris, France
3 Paris Brain Institute (ICM), CENIR, Hôpital Pitié, 47 Bd de l'Hôpital, Paris, France
4 Paris Brain Institute (ICM), DAC, Hôpital Pitié, 47 Bd de l'Hôpital, Paris, France
INTRODUCTION: Diffusion tensor imaging (DTI) enables the assessment of microstructural changes in the brain and has shown promise in the study of neurodegenerative diseases. However, its limited spatial resolution remains a major obstacle, potentially contributing to inconsistent findings regarding subtle pathological changes. In this study, we investigate the use of Image Quality Transfer (IQT) to improve the spatial resolution of DTI and evaluate its relevance for the diagnosis of Parkinson’s disease (PD).
AIM(S): The aim is to assess whether IQT improves the detection of microstructural alterations associated with PD and its prodromal stage. Specifically, we seek to determine its effectiveness in distinguishing patient groups and its potential for clinical application.
METHOD(S): We analyzed DTI images from healthy volunteers, patients with REM sleep behavior disorder (RBD)—a prodromal stage of PD—and patients with PD, comparing native-resolution and super-resolved modalities using IQT.
RESULTS:
CONCLUSIONS: Depending on the results, IQT could serve as a promising tool for analyzing low-resolution images, refining our understanding of neuroanatomical changes, and being applied to other brainstem structures, optic nerves, and the spinal cord, thus opening new perspectives in neuroimaging.
FINANCIAL SUPPORT: This research was supported by a PhD fellowship from the Doctoral School ED3C (Cognition, Behavior, and Brain), Sorbonne University.