Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning...
Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline
About this item
Full title
Author / Creator
Sun, Fuhai , Lyu, Junyan , Jian, Si , Qin, Yuanyuan and Tang, Xiaoying
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Objectives
This study aims at a fully automatic pipeline for measuring the magnetic resonance parkinsonism index (MRPI) using deep learning methods.
Methods
MRPI is defined as the product of the pons area to the midbrain area ratio and the middle cerebellar peduncle (MCP) width to the superior cerebellar peduncle (SCP) width ratio. In our...
Alternative Titles
Full title
Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2892799311
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2892799311
Other Identifiers
ISSN
1432-1084,0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-023-09979-1
