@inproceedings{6f98b55a5eb54a1a9cb4c438bb98cd39,
title = "Pipeline refinement on diffusion tractography and T1 tractography in the presence of multiple sclerosis lesions",
abstract = "Multiple sclerosis (MS) disrupts white matter integrity through demyelination and axonal loss, complicating tractography reconstruction. Diffusion MRI (dMRI)-based tractography is affected by reduced fractional anisotropy (FA) and spurious fiber orientation peaks in lesion areas, often causing premature termination or inaccurate streamlines. T1-weighted (T1w)-based tractography has emerged as a data-driven alternative, but hypointense lesions can mislead anatomical interpretation and compromise results. This study improves diffusion and T1w tractography pipelines in the presence of MS lesions. For dMRI, we apply lesion filling and an FA-boosting strategy to enhance tract continuity. For T1w tractography, lesion filling restores tissue intensity to avoid misclassification. Experiments on simulated and real MS data show that both lesion filling and FA boosting improve tract reconstruction.",
keywords = "Multiple sclerosis, magnetic resonance imaging, tractography",
author = "Liwei Zhou and Zhangxing Bian and Jinwei Zhang and Shiv Saidha and Calabresi, \{Peter A.\} and Aaron Carass and Prince, \{Jerry L.\}",
note = "Publisher Copyright: {\textcopyright} 2026 SPIE. All rights reserved.; Medical Imaging 2026: Clinical and Biomedical Imaging ; Conference date: 16-02-2026 Through 20-02-2026",
year = "2026",
month = apr,
day = "1",
doi = "10.1117/12.3085635",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Gimi, \{Barjor S.\} and Andrzej Krol",
booktitle = "Medical Imaging 2026",
}