A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
3.9K Views
•
11:50 min
•
February 4th, 2022
DOI :
February 4th, 2022
•Rebecca Kerestes1, Shuo Han2, Srinivas Balachander3, Carlos Hernandez-Castillo4, Jerry L. Prince5,6, Jörn Diedrichsen7, Ian H. Harding1,8
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
Chapters in this video
0:05
Introduction
0:41
Module 1: Automatic Cerebellum Anatomical Parcellation Using U-Net Locally Constrained Optimization (ACAPULCO)
4:44
Module 2: SUIT Cerebellum-Optimized Voxel-Based Morphometry
8:47
Results: Examining Cerebellum Grey Matter Morphometry in Friedreich Ataxia Patients and Healthy Controls
11:04
Conclusion
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