@inbook{f280b39d6d1e4ebf86108ebf9d6cfc8f,
title = "PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction",
abstract = "Traditional cortical surface reconstruction is time consuming and limited by the resolution of brain Magnetic Resonance Imaging (MRI). In this work, we introduce Pial Neural Network (PialNN), a 3D deep learning framework for pial surface reconstruction. PialNN is trained end-to-end to deform an initial white matter surface to a target pial surface by a sequence of learned deformation blocks. A local convolutional operation is incorporated in each block to capture the multi-scale MRI information of each vertex and its neighborhood. This is fast and memory-efficient, which allows reconstructing a pial surface mesh with 150k vertices in one second. The performance is evaluated on the Human Connectome Project (HCP) dataset including T1-weighted MRI scans of 300 subjects. The experimental results demonstrate that PialNN reduces the geometric error of the predicted pial surface by 30 % compared to state-of-the-art deep learning approaches. The codes are publicly available at https://github.com/m-qiang/PialNN.",
author = "Qiang Ma and Robinson, {Emma C.} and Bernhard Kainz and Daniel Rueckert and Amir Alansary",
note = "Funding Information: Acknowledgements. This work was supported by the President{\textquoteright}s PhD Scholarships at Imperial College London. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021 held in Conjunction with 24th International Conference on Medical Imaging Computing and Computer-Assisted Intervention, MICCAI 2021 ; Conference date: 27-09-2021 Through 27-09-2021",
year = "2021",
doi = "10.1007/978-3-030-87586-2_8",
language = "English",
isbn = "9783030875855",
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 = "73--81",
editor = "Ahmed Abdulkadir and Kia, {Seyed Mostafa} and Mohamad Habes and Vinod Kumar and Rondina, {Jane Maryam} and Chantal Tax and Chantal Tax and Thomas Wolfers",
booktitle = "Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings",
address = "Germany",
}