Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging

Murilo Costa de Barros, Kaue Duarte, Chia-Jui Hsu, Wang-Tso Lee, Marco Garcia de Carvalho

2024

Abstract

Tourette Syndrome (TS) is a neuropsychiatric disorder characterized by the presence of involuntary motor and vocal tics, with its etiology suggesting a strong and complex genetic basis. The detection of TS is mainly performed clinically, but brain imaging provides additional insights about anatomical structures. Interpreting brain patterns is challenging due to the complexity of the texture and shape of the anatomical regions. This study compares three-dimensional texture and shape features using Gray-Level Co-occurrence Matrix and Scale-Invariant Heat Kernel Signature. These features are analyzed in the context of TS classification (via Support Vector Machines), focusing on anatomical regions believed to be associated with TS. The evaluation is performed on structural Magnetic Resonance (MR) images of 68 individuals (34 TS patients and 34 healthy subjects). Results show that shape features achieve 92.6% accuracy in brain regions like the right thalamus and accumbens area, while texture features reach 73.5% accuracy in regions such as right putamen and left thalamus. Majority voting ensembles using shape features obtain 96% accuracy, with texture features achieving 79.4%. These findings highlight the influence of subcortical regions in the limbic system, consistent with existing literature on TS.

Paper Citation

in Harvard Style

Costa de Barros M., Duarte K., Hsu C., Lee W. and Garcia de Carvalho M. (2024). Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 474-481. DOI: 10.5220/0012374200003660

in Bibtex Style

@conference{visapp24,
author={Murilo Costa de Barros and Kaue Duarte and Chia-Jui Hsu and Wang-Tso Lee and Marco Garcia de Carvalho},
title={Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={474-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012374200003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Comparing 3D Shape and Texture Descriptors Towards Tourette’s Syndrome Prediction Using Pediatric Magnetic Resonance Imaging
SN - 978-989-758-679-8
AU - Costa de Barros M.
AU - Duarte K.
AU - Hsu C.
AU - Lee W.
AU - Garcia de Carvalho M.
PY - 2024
SP - 474
EP - 481
DO - 10.5220/0012374200003660
PB - SciTePress