Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation

• Published in: Brain Structure and Function Vol. 229; no. 5; pp. 1087 - 1101
• Main Authors: Vidal, Julie P., Danet, Lola, Péran, Patrice, Pariente, Jérémie, Bach Cuadra, Meritxell, Zahr, Natalie M., Barbeau, Emmanuel J., Saranathan, Manojkumar
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024; Springer Nature B.V; Springer Verlag
• Subjects: Adult; Biomedical and Life Sciences; Biomedicine; Cell Biology; Cognition; Female; Genetic transformation; Humans; Image processing; Image Processing, Computer-Assisted - methods; Life Sciences; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Neural networks; Neural Networks, Computer; Neurology; Neurons and Cognition; Neurosciences; Original Article; Scanners; Segmentation; Thalamic nuclei; Thalamic Nuclei - diagnostic imaging; Thalamus; White Matter - diagnostic imaging; Thalamus; Thalamic nuclei segmentation; THOMAS; Structural imaging; structural imaging PHILIPS; thalamic nuclei segmentation

Accurate segmentation of thalamic nuclei, crucial for understanding their role in healthy cognition and in pathologies, is challenging to achieve on standard T1-weighted (T1w) magnetic resonance imaging (MRI) due to poor image contrast. White-matter-nulled (WMn) MRI sequences improve intrathalamic c...