Ryan Fernando Menezes
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ryan Fernando Menezes has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Bruno Fernandes de Oliveira Santos
Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, SE, Brazil
1 shared publication - Erom Lucas Alves Freitas
Department of Medicine, Federal University of Sergipe, Aracaju, Brazil
1 shared publication - Rafael Lisboa Prudente
Tiradentes University
1 shared publication
Latest Publications
- Open Access
- 30 May 2025
- Published by Scientific Scholar in Surgical Neurology International
- Vol. 16, 211
Dentato-rubro-thalamic tract tractography: Constrained spherical deconvolution versus diffusion tensor imaging for essential tremor deep brain stimulation targeting
Background: This study aimed to compare diffusion tensor imaging (DTI) and constrained spherical deconvolution (CSD) techniques in the segmentation of the dentate-rubro-thalamic tract (DRTT), evaluating their anatomical accuracy and applicability for surgical planning in deep brain stimulation (DBS) for essential tremor surgery in two patients. Methods: The images were acquired using two 1.5 Tesla magnetic resonance imaging protocols optimized for both DTI and CSD. Preprocessing included noise removal, artifact correction, and distortion adjustments. Segmentation was performed using region-of-interest definitions from specific atlases. CSD was applied with response function estimation, followed by fiber orientation reconstruction and tracking using the probabilistic improved fiber orientation distribution 2(iFOD2) algorithm. The DTI technique was conducted with tensor calculation and fractional anisotropy (FA) analysis. Volume and FA metrics were compared between techniques to evaluate segmentation accuracy for the DRTT. Results: CSD-based segmentation showed significantly larger volumes in the left hemisphere compared to DTI, along with higher FA values. In the right hemisphere, the difference was not statistically significant. Dice similarity index analysis revealed very low correspondence between the techniques in both hemispheres, suggesting greater precision of CSD in DRTT segmentation. Conclusion: CSD proved to be more effective in DRTT segmentation, with better angular resolution and greater detailing of axonal trajectories, especially in regions with fiber crossing.
- 30 May 2025
- Published by Scientific Scholar in Surgical Neurology International
- Vol. 16, 211
Open AccessDentato-rubro-thalamic tract tractography: Constrained spherical deconvolution versus diffusion tensor imaging for essential tremor deep brain stimulation targeting
Background: This study aimed to compare diffusion tensor imaging (DTI) and constrained spherical deconvolution (CSD) techniques in the segmentation of the dentate-rubro-thalamic tract (DRTT), evaluating their anatomical accuracy and applicability for surgical planning in deep brain stimulation (DBS) for essential tremor surgery in two patients. Methods: The images were acquired using two 1.5 Tesla magnetic resonance imaging protocols optimized for both DTI and CSD. Preprocessing included noise removal, artifact correction, and distortion adjustments. Segmentation was performed using region-of-interest definitions from specific atlases. CSD was applied with response function estimation, followed by fiber orientation reconstruction and tracking using the probabilistic improved fiber orientation distribution 2(iFOD2) algorithm. The DTI technique was conducted with tensor calculation and fractional anisotropy (FA) analysis. Volume and FA metrics were compared between techniques to evaluate segmentation accuracy for the DRTT. Results: CSD-based segmentation showed significantly larger volumes in the left hemisphere compared to DTI, along with higher FA values. In the right hemisphere, the difference was not statistically significant. Dice similarity index analysis revealed very low correspondence between the techniques in both hemispheres, suggesting greater precision of CSD in DRTT segmentation. Conclusion: CSD proved to be more effective in DRTT segmentation, with better angular resolution and greater detailing of axonal trajectories, especially in regions with fiber crossing.