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Una pipeline standardizzata per l'esame della morfometria della materia grigia cerebellare umana utilizzando la risonanza magnetica strutturale
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1Department of Neuroscience, Central Clinical School,Monash University, 2Department of Biomedical Engineering,The Johns Hopkins University, 3Department of Psychiatry,National Institute of Mental Health & Neuro Sciences (NIMHANS), 4Faculty of Computer Science,Dalhousie University, 5Department of Electrical and Computer Engineering,The Johns Hopkins University, 6Department of Computer Science,The Johns Hopkins University, 7Brain and Mind Institute, Department for Statistical and Actuarial Sciences, Department for Computer Science,Western University, 8Monash Biomedical Imaging,Monash University
Capítulos
- 00:05Introduction
- 00:41Module 1: Automatic Cerebellum Anatomical Parcellation Using U-Net Locally Constrained Optimization (ACAPULCO)
- 04:44Module 2: SUIT Cerebellum-Optimized Voxel-Based Morphometry
- 08:47Results: Examining Cerebellum Grey Matter Morphometry in Friedreich Ataxia Patients and Healthy Controls
- 11:04Conclusion
Viene presentata una pipeline standardizzata per l'esame della morfometria della materia grigia del cervelletto. La pipeline combina approcci ad alta risoluzione e all'avanguardia per la parcellazione ottimizzata e automatizzata del cervelletto e la registrazione basata su voxel del cervelletto per la quantificazione volumetrica.
