@inproceedings{ac87fb95c1754ddebf4b5abb81f77805,
title = "DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography",
abstract = "We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography. We adopt a data-driven approach for fiber reconstruction from diffusion-weighted images (DWI), which does not assume a specific diffusion model. We use a recurrent neural network for mapping sequences of DWI values into probabilistic fiber orientation distributions. Based on these estimations, our model facilitates both deterministic and probabilistic streamline tractography. We quantitatively evaluate our method using the Tractometer tool, demonstrating competitive performance with state-of-the-art classical and machine learning based tractography algorithms. We further present qualitative results of bundle-specific probabilistic tractography obtained using our method. The code is publicly available at: https://github.com/itaybenou/DeepTract.git.",
author = "Itay Benou and {Riklin Raviv}, Tammy",
note = "Funding Information: ★ This work was supported by FCT (ISR/IST plurianual funding through the PIDDAC Program) and partially funded by EU Project First-MM (FP7-ICT-248258), EU Project HANDLE (FP7-ICT-231640) and by the project CMU-PT/SIA/0023/2009 under the Carnegie Mellon-Portugal Program. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 ; Conference date: 13-10-2019 Through 17-10-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-32248-9_70",
language = "English",
isbn = "9783030322472",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "626--635",
editor = "Dinggang Shen and Pew-Thian Yap and Tianming Liu and Peters, {Terry M.} and Ali Khan and Staib, {Lawrence H.} and Caroline Essert and Sean Zhou",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings",
address = "Germany",
}