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

Statins May Not Reduce Reoperation Rates in Chronic Subdural Hematoma, Regardless of the Use of Antithrombotic Medication.

Journal of neurological surgery. Part A, Central European neurosurgery·2026
Same author

IV Thrombolysis Facilitates Interventional Reperfusion in Non-Cardioembolic but Not Cardioembolic Stroke.

Annals of clinical and translational neurology·2026
Same author

Time cost of the intraoperative CT in dorsal spinal fusion surgery in degenerative spinal disorders - a retrospective analysis of 518 degenerative cases.

Brain & spine·2026
Same author

Morphometric changes after endoscopic third ventriculostomy: a pediatric-adult comparison.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2026
Same author

Correction: Jugel et al. Targeted Transposition of Minicircle DNA Using Single-Chain Antibody Conjugated Cyclodextrin-Modified Poly (Propylene Imine) Nanocarriers. <i>Cancers</i> 2022, <i>14</i>, 1925.

Cancers·2026
Same author

Stimulating the Human Olfactory Bulb to Evoke Smell Perception: A Case Report from Awake Brain Surgery.

ORL; journal for oto-rhino-laryngology and its related specialties·2025

Related Experiment Video

Updated: Dec 22, 2025

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
12:30

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

20.8K

Comparison of Automatic Segmentation Algorithms for the Subthalamic Nucleus.

Witold H Polanski1, Amir Zolal2,3, Kerim Hakan Sitoci-Ficici2

  • 1Department of Neurosurgery, University Hospital Carl-Gustav-Carus, Technical University of Dresden, Dresden, Germany, witold.polanski@uniklinikum-dresden.de.

Stereotactic and Functional Neurosurgery
|May 6, 2020
PubMed
Summary
This summary is machine-generated.

This study evaluated Brainlab Elements (BL-E), a clinically approved software for automatic subthalamic nucleus (STN) segmentation. Results show BL-E segmentation accuracy is comparable to research tools and within interrater variability, suggesting clinical potential.

Keywords:
Automatic image segmentationBrain atlasDeep brain stimulationNeuromodulationSubthalamic nucleus

More Related Videos

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.3K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.5K

Related Experiment Videos

Last Updated: Dec 22, 2025

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
12:30

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

20.8K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.3K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.5K

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Automatic segmentation of the subthalamic nucleus (STN) is crucial for deep brain stimulation surgery.
  • Existing automatic segmentation tools often lack clinical approval, limiting their application in patient care.

Purpose of the Study:

  • To assess the clinical validity of the Brainlab Elements (BL-E) automatic STN segmentation tool.
  • To compare BL-E segmentation performance against manual segmentation and research-based methods (DISTAL atlas and Horn electrophysiological atlas).

Main Methods:

  • Preoperative MRI data from 30 Parkinson's disease patients were analyzed.
  • Subthalamic nucleus (STN) segmentations were performed manually by two experts and automatically using BL-E, DISTAL atlas, and Horn electrophysiological atlas.
  • Segmentation accuracy was quantified using Dice and Jaccard coefficients, target overlap, and false negative/positive values, with statistical comparisons to interrater variability.

Main Results:

  • Brainlab Elements (BL-E) demonstrated STN segmentation accuracy comparable to research tools and within the range of interrater variability.
  • While some differences were noted between BL-E and other methods, they were not statistically significant compared to manual segmentation variability.
  • BL-E segmentations showed a higher overlap with beta power in the STN compared to manual segmentation when using the Horn electrophysiological atlas.

Conclusions:

  • The clinically approved Brainlab Elements software provides accurate automatic STN segmentations suitable for clinical use.
  • Segmentation differences fall within the expected interrater variability, supporting its reliability.
  • Further research is needed to confirm clinical validity, particularly by correlating segmentation with electrophysiological data.