Project 1

Title: Thalamus Anatomy: Mapping Reproducibility and Uncertainty in Segmentation
Leader: Vinod Kumar
Project Overview:

The human thalamus plays a crucial role in our cognitive and sensorimotor functions. Accurately segmenting this vital structure in neuroimaging data is essential for research ranging from understanding healthy brain function to studying neurological disorders. However, inconsistencies in segmentation methods and variability across researchers raise concerns about reliability and generalizability. This TANGO Sub-Group project - Thalamus Segmentation: Mapping the Reproducibility and Uncertainty, aims to address these challenges by systematically evaluating the reproducibility and limitations of current thalamus segmentation methods. Through a collaborative effort, researchers will explore various approaches and datasets to shed light on the complexities of thalamic segmentation. This project offers an opportunity to: 1) to build a comprehensive understanding of thalamus segmentation challenges and solutions. 2) Enhance the reliability and generalizability of thalamic segmentation, laying the groundwork for more robust studies. 3) Identify factors impacting segmentation accuracy (e.g., field strength, scanner variability) and inform future data acquisition and analysis practices.

Project 2

Title: Interthalamic Adhesion Project Group
Leader: Emmanuel Barbeau

Project 3

Title: Data Group
Leader: Merixtell Bach Cuadra