ArticleNeuroinformatics2015
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.
Article in Neuroinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Improving the Identification of the Preclinical Stages of Spinocerebellar Ataxia Type 2.Tomography (Ann Arbor, Mich.) · 2026Article
- Nerve Fiber Bundle Damage in Spinocerebellar Degeneration on Diffusion Tensor Imaging.Current medical imaging · 2025Article
- On the Cut-Off Value of the Anteroposterior Diameter of the Midbrain Atrophy in Spinocerebellar Ataxia Type 2 Patients.Brain sciences · 2024Article
- Cerebellar Contributions to Motor and Cognitive Control in Multiple SclerosisArchives of physical medicine and rehabilitation · 2022Article
- Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus.Frontiers in neurology · 2022Article
- Cerebellar White Matter Structural Correlates of Locomotor Adaptation. Do They Reflect Neural Adaptation?Cerebellum (London, England) · 2020Article
- Dictionary-based fiber orientation estimation with improved spatial consistency.Medical image analysis · 2018Article
- Degenerative Ataxias: challenges in clinical research.Annals of clinical and translational neurology · 2017Review
- A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2016Article
- Estimation of fiber orientations using neighborhood information.Medical image analysis · 2016Article
- Quality Assurance using Outlier Detection on an Automatic Segmentation Method for the Cerebellar Peduncles.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The cerebellar peduncles, comprising the superior cerebellar peduncles (SCPs), the middle cerebellar peduncle (MCP), and the inferior cerebellar peduncles (ICPs), are white matter tracts that connect the cerebellum to other parts of the central nervous system. Methods for automatic segmentation and quantification of the cerebellar peduncles are needed for objectively and efficiently studying their structure and function. Diffusion tensor imaging (DTI) provides key information to support this goal, but it remains challenging because the tensors change dramatically in the decussation of the SCPs (dSCP), the region where the SCPs cross. This paper presents an automatic method for segmenting the cerebellar peduncles, including the dSCP. The method uses volumetric segmentation concepts based on extracted DTI features. The dSCP and noncrossing portions of the peduncles are modeled as separate objects, and are initially classified using a random forest classifier together with the DTI features. To obtain geometrically correct results, a multi-object geometric deformable model is used to refine the random forest classification. The method was evaluated using a leave-one-out cross-validation on five control subjects and four patients with spinocerebellar ataxia type 6 (SCA6). It was then used to evaluate group differences in the peduncles in a population of 32 controls and 11 SCA6 patients. In the SCA6 group, we have observed significant decreases in the volumes of the dSCP and the ICPs and significant increases in the mean diffusivity in the noncrossing SCPs, the MCP, and the ICPs. These results are consistent with a degeneration of the cerebellar peduncles in SCA6 patients.
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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.