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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Evaluating alterations in longitudinal white matter brain age in survivors of pediatric craniopharyngioma.

AJNR. American journal of neuroradiology·2026
Same author

Neoadjuvant chemotherapy for pineal region tumors.

Journal of neuro-oncology·2026
Same author

Longitudinal signal changes in the dentato-rubro-olivary pathway of patients with posterior fossa syndrome.

Neuro-oncology practice·2026
Same author

Silent Verb Generation during fMRI Reveals Post-Radiotherapy Alterations in Cerebellar-Cerebral Language Regions in Patients Treated for Medulloblastoma.

Research square·2026
Same author

Accelerated Brain Aging, Atherogenicity, and Neurocognition in Adult Survivors of Childhood Cancer.

JAMA network open·2025
Same author

Central Nervous System Kinase-Altered Spindle Cell Neoplasm: A Case Series of an Emerging Tumour Type.

Neuropathology and applied neurobiology·2025

Related Experiment Video

Updated: Aug 6, 2025

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

4.1K

Automatic detection and segmentation of postoperative cerebellar damage based on normalization.

Silu Zhang1, Samuel S McAfee1, Zoltan Patay1

  • 1Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Neuro-Oncology Advances
|March 17, 2023
PubMed
Summary

We developed an automated method to detect and measure cerebellar damage after surgery for pediatric posterior fossa tumors. This tool accurately quantifies damage on MRI scans, aiding research into surgical outcomes.

Keywords:
brain tissue segmentationcerebellum normalizationpostoperative damage detection

More Related Videos

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

40.3K
DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

14.2K

Related Experiment Videos

Last Updated: Aug 6, 2025

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

4.1K
Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

40.3K
DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

14.2K

Area of Science:

  • Neuroimaging
  • Computational anatomy
  • Pediatric neurosurgery

Background:

  • Surgical resection is standard for pediatric posterior fossa tumors, but surgical damage and its link to complications remain unclear.
  • Accurate measurement of cerebellar damage is crucial for understanding postoperative neurological outcomes.
  • Current methods for measuring cerebellar damage on postoperative scans are manual and labor-intensive.

Purpose of the Study:

  • To develop a robust algorithm for automatic detection and measurement of cerebellar damage in postoperative 3D T1 MRI scans.
  • To provide a reliable tool for quantifying surgical damage in the cerebellum for research purposes.

Main Methods:

  • A Bayesian algorithm was used to segment normal brain tissues in postoperative scans.
  • Nonlinear registration of a whole-brain template isolated the cerebellum.
  • The isolated cerebellum was normalized to the spatially unbiased atlas (SUIT) space for damage detection by comparing it to the SUIT template.

Main Results:

  • The developed algorithm was evaluated on postoperative MRI scans from 153 medulloblastoma patients.
  • Expert inspection confirmed adequate performance of the damage detection tool.
  • Simulations demonstrated robust performance under various realistic conditions.

Conclusions:

  • An accurate, robust, and fully automatic method for localizing and measuring cerebellar damage in the atlas space using postoperative MRI has been developed.
  • This automated approach can facilitate research into the relationship between cerebellar damage and neurological outcomes.