This is the official repository for our work on modeling perfusion imaging via advection-diffusion. This repository contains codes for simulating synthetic normal/abnormal brain advection-diffusion dataset, and modeling perfusion imaging from both optimization-based (PIANO) and deep-learning-based (YETI, SONATA) perspectives, as well as all the experiments in our papers:
Deep Decomposition for Stochastic Normal-Abnormal Transport - CVPR 2022 (Oral Presentation)
Discovering Hidden Physics Behind Transport Dynamics - CVPR 2021 (Oral Presentation)
Perfusion Imaging: An Advection Diffusion Approach - IEEE TMI
PIANO: Perfusion Imaging via Advection-Diffusion - MICCAI 2020 (Early Accept)
@InProceedings{Liu_2022_CVPR,
author = {Liu, Peirong and Lee, Yueh and Aylward, Stephen and Niethammer, Marc},
title = {Deep Decomposition for Stochastic Normal-Abnormal Transport},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {18791-18801}
}
@InProceedings{Liu_2021_CVPR,
author = {Liu, Peirong and Tian, Lin and Zhang, Yubo and Aylward, Stephen and Lee, Yueh and Niethammer, Marc},
title = {Discovering Hidden Physics Behind Transport Dynamics},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {10082-10092}
}
@article{Liu_2021_TMI,
author={Liu, Peirong and Lee, Yueh Z. and Aylward, Stephen R. and Niethammer, Marc},
journal={IEEE Transactions on Medical Imaging},
title={Perfusion Imaging: An Advection Diffusion Approach},
year={2021},
volume={40},
number={12},
pages={3424-3435},
doi={10.1109/TMI.2021.3085828}
}
@inproceedings{Liu_2020_MICCAI,
author = {Liu, Peirong and Lee, Yueh Z. and Aylward, Stephen R. and Niethammer, Marc},
title = {PIANO: Perfusion Imaging via Advection-Diffusion},
year = {2020},
isbn = {978-3-030-59727-6},
pages = {688–698},
doi = {10.1007/978-3-030-59728-3_67},
}
Download the dataset from this link.
This dataset is simulated based on original brain data from the IXI brain dataset.