Identifying texture features from structural magnetic resonance imaging scans associated with Tourette’s syndrome using machine learning
Our findings suggest that texture features derived from sMRI scans can aid in the diagnosis of TS by highlighting critical brain regions involved in the disorder. The proposed method holds promise for improving diagnostic accuracy and understanding the neuroanatomical underpinnings of TS.
Authors
- Kauê Tartarotti Nepomuceno Duarte (ORCID: https://orcid.org/0000-0002-4074-3672)
- Murilo Costa de Barros (ORCID: https://orcid.org/0000-0003-2452-8128)
- Marco António Garcia de Carvalho (ORCID: https://orcid.org/0000-0002-1941-6036)
- Wang‐Tso Lee (ORCID: https://orcid.org/0000-0003-3231-9764)
- Chia‐Jui Hsu (ORCID: https://orcid.org/0009-0003-3955-2750)
Institutions
- University of Calgary (CA)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1117/1.jmi.12.2.026001
- Citations
- 1
- Primary Topic
- Obsessive-Compulsive Spectrum Disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.31