ArticleHuman brain mapping2021
Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Motor evoked potentials as markers of internal capsule current spread during deep brain stimulation for Parkinson's disease.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- Deep learning-based cognitive impairment brain imaging analysis: New methods, new technologies, and new paradigms.Neural regeneration research · 2026Article
- A novel methodology for localizing pallidal deep brain stimulation leads.Frontiers in neuroanatomy · 2026Article
- A review of applications of automated ventricular parcellation from magnetic resonance imaging of the brain.Frontiers in neurology · 2025Review
- Quantitative susceptibility mapping based basal ganglia segmentation via AGSeg: leveraging active gradient guiding mechanism in deep learning.Quantitative imaging in medicine and surgery · 2024Article
- Use of a Commercial 7-T MRI Scanner for Clinical Brain Imaging: Indications, Protocols, Challenges, and Solutions-A Single-Center Experience.AJR. American journal of roentgenology · 2023Article
- Motion robust magnetic resonance imaging via efficient Fourier aggregation.Medical image analysis · 2023Article
- High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning.NeuroImage · 2022Review
- Advances in DBS Technology and Novel Applications: Focus on Movement Disorders.Current neurology and neuroscience reports · 2022Review
- Neuroimaging at 7 Tesla: a pictorial narrative review.Quantitative imaging in medicine and surgery · 2022Review
- Essential Tremor-Do We Have Better Therapeutics? A Review of Recent Advances and Future Directions.Current neurology and neuroscience reports · 2022Review
- Lead location as a determinant of motor benefit in subthalamic nucleus deep brain stimulation for Parkinson's disease.Frontiers in neuroscience · 2022Article
- Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.Human brain mapping · 2021Article
- New Frontiers for Deep Brain Stimulation: Directionality, Sensing Technologies, Remote Programming, Robotic Stereotactic Assistance, Asleep Procedures, and Connectomics.Frontiers in neurology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Deep brain stimulation (DBS) surgery has been shown to dramatically improve the quality of life for patients with various motor dysfunctions, such as those afflicted with Parkinson's disease (PD), dystonia, and essential tremor (ET), by relieving motor symptoms associated with such pathologies. The success of DBS procedures is directly related to the proper placement of the electrodes, which requires the ability to accurately detect and identify relevant target structures within the subcortical basal ganglia region. In particular, accurate and reliable segmentation of the globus pallidus (GP) interna is of great interest for DBS surgery for PD and dystonia. In this study, we present a deep-learning based neural network, which we term GP-net, for the automatic segmentation of both the external and internal segments of the globus pallidus. High resolution 7 Tesla images from 101 subjects were used in this study; GP-net is trained on a cohort of 58 subjects, containing patients with movement disorders as well as healthy control subjects. GP-net performs 3D inference in a patient-specific manner, alleviating the need for atlas-based segmentation. GP-net was extensively validated, both quantitatively and qualitatively over 43 test subjects including patients with movement disorders and healthy control and is shown to consistently produce improved segmentation results compared with state-of-the-art atlas-based segmentations. We also demonstrate a postoperative lead location assessment with respect to a segmented globus pallidus obtained by GP-net.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.