Methods for cerebellar imaging analysis
Year: 2023
Type: review
Abstract: The human cerebellum consists of an extended, highly-folded, and laminated cortical sheet overlying the white matter and cerebellar nuclei. This complex anatomy hinders the processing of magnetic resonance imaging data, as the relevant structures are not fully resolved. In this review, we explore the typical processing techniques employed for the anatomical and functional imaging of the cerebellum, along with their primary limitations with respect to imaging fidelity. Moreover, we discuss emerging methods applicable postmortem and in-vivo that greatly enhance fidelity in cerebellar imaging through higher-resolution data and individual-level processing.
Authors: Nikos Priovoulos, Pierre-Louis Bazin
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,840
OpenAlex ID: W4389328212
