Manual Segmentation of the Human Choroid Plexus Using Brain MRI.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
15 Dec 2023
Historique:
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 1 1 2024
Statut: epublish

Résumé

The choroid plexus has been implicated in neurodevelopment and a range of brain disorders. Evidence demonstrates that the choroid plexus is critical for brain maturation, immune/ inflammatory regulation, and behavioral/cognitive functioning. However, current automated neuroimaging segmentation tools are poor at accurately and reliably segmenting the lateral ventricle choroid plexus. Furthermore, there is no existing tool that segments the choroid plexus located in the third and fourth ventricles of the brain. Thus, a protocol delineating how to segment the choroid plexus in the lateral, third, and fourth ventricle is needed to increase the reliability and replicability of studies examining the choroid plexus in neurodevelopmental and brain disorders. This protocol provides detailed steps to create separately labeled files in 3D Slicer for the choroid plexus based on DICOM or NIFTI images. The choroid plexus will be manually segmented using the axial, sagittal, and coronal planes of T1w images making sure to exclude voxels from gray or white matter structures bordering the ventricles. Windowing will be adjusted to assist in the localization of the choroid plexus and its anatomical boundaries. Methods for assessing accuracy and reliability will be demonstrated as part of this protocol. Gold standard segmentation of the choroid plexus using manual delineations can be used to develop better and more reliable automated segmentation tools that can be openly shared to elucidate changes in the choroid plexus across the lifespan and within various brain disorders.

Identifiants

pubmed: 38163279
doi: 10.3791/65341
doi:

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Deepthi Bannai (D)

Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center.

Yuan Cao (Y)

Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Department of Psychiatry and Psychotherapy, Jena University Hospital.

Matcheri Keshavan (M)

Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center.

Martin Reuter (M)

AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Department of Radiology, Harvard Medical School.

Paulo Lizano (P)

Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center; Department of Psychiatry, Harvard Medical School; lizanopl@gmail.com.

Classifications MeSH