Back to Search Start Over

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping.

Authors :
Biesbroek JM
Kuijf HJ
Weaver NA
Zhao L
Duering M
Biessels GJ
Source :
Journal of visualized experiments : JoVE [J Vis Exp] 2019 Sep 25 (151). Date of Electronic Publication: 2019 Sep 25.
Publication Year :
2019

Abstract

In lesion-symptom mapping (LSM), brain function is inferred by relating the location of acquired brain lesions to behavioral or cognitive symptoms in a group of patients. With recent advances in brain imaging and image processing, LSM has become a popular tool in cognitive neuroscience. LSM can provide fundamental insights into the functional architecture of the human brain for a variety of cognitive and non-cognitive functions. A crucial step in performing LSM studies is the segmentation of lesions on brains scans of a large group of patients and registration of each scan to a common stereotaxic space (also called standard space or a standardized brain template). Described here is an open-access, standardized method for infarct segmentation and registration for the purpose of LSM, as well as a detailed and hands-on walkthrough based on exemplary cases. A comprehensive tutorial for the manual segmentation of brain infarcts on CT scans and DWI or FLAIR MRI sequences is provided, including criteria for infarct identification and pitfalls for different scan types. The registration software provides multiple registration schemes that can be used for processing of CT and MRI data with heterogeneous acquisition parameters. A tutorial on using this registration software and performing visual quality checks and manual corrections (which are needed in some cases) is provided. This approach provides researchers with a framework for the entire process of brain image processing required to perform an LSM study, from gathering of the data to final quality checks of the results.

Details

Language :
English
ISSN :
1940-087X
Issue :
151
Database :
MEDLINE
Journal :
Journal of visualized experiments : JoVE
Publication Type :
Academic Journal
Accession number :
31609325
Full Text :
https://doi.org/10.3791/59653