Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

User-friendly method for rapid brain and CSF volume calculation using transaxial MRI images.

G J Harris1, E H Rhew, T Noga

  • 1Department of Psychiatry, Johns Hopkins Medical Institutions, Baltimore, MD.

Psychiatry Research
|May 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Corrigendum to "Jang YJ, et al. Characterizing the relationship between personality dimensions and psychosis-specific clinical characteristics" [Schizophr Res. 276 (2025) 88-96 10.1016/j.schres.2025.01.002 (Epub ahead of print, PMID: 39864301, Jan 25)].

Schizophrenia research·2025
Same author

Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets.

Human brain mapping·2023
Same author

Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and its Links to Genetic Risk.

bioRxiv : the preprint server for biology·2023
Same author

Emotional scene processing in biotypes of psychosis.

Psychiatry research·2023
Same author

Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.

NeuroImage·2022
Same author

Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study.

Translational psychiatry·2017

A new computer method accurately measures brain and cerebrospinal fluid (CSF) volumes using MRI scans. This reliable technique aids in understanding neurological conditions by quantifying brain structure changes.

Area of Science:

  • Neuroimaging
  • Medical image analysis
  • Computational anatomy

Background:

  • Accurate quantification of brain structures and cerebrospinal fluid (CSF) is crucial for understanding neurological disorders.
  • Existing methods for volumetric analysis can be time-consuming or lack precision.

Purpose of the Study:

  • To develop and validate a straightforward, rapid, and reliable computer method for determining whole brain and CSF volumes from magnetic resonance imaging (MRI) data.
  • To assess the method's reliability and accuracy using phantom studies and compare it with manual measurements.

Main Methods:

  • A semiautomatic algorithm employing a threshold-guided edge follower was developed.
  • Cerebrospinal fluid (CSF) was highlighted by subtracting proton-weighted from T2-weighted MRI images.

Related Experiment Videos

  • The method's validity was assessed through phantom studies, interrater/intrarater reliability tests, and comparison with manual measurements.

    • Main Results:

    • The developed computer method demonstrated excellent reliability and accuracy.
    • Interrater and intrarater reliability, as well as correlation with manual measurements, were found to be excellent.
    • The method was successfully applied to determine brain and CSF volumes in patient groups (Alzheimer's disease, HIV, OCD, schizophrenia) and normal controls.

    Conclusions:

    • A reliable and rapid computer-assisted method for quantifying brain and CSF volumes from MRI has been established.
    • This validated technique offers a robust tool for volumetric analysis in clinical research and diagnosis.
    • The method facilitates the study of brain structure alterations in various neurological and psychiatric conditions.