@inproceedings{6460f14bd5df479fb8bc26f73997c393,
title = "UniToBrain Dataset: A Brain Perfusion Dataset",
abstract = "The CT perfusion (CTP) is a medical exam for measuring the passage of a bolus of contrast solution through the brain on a pixel-by-pixel basis. The objective is to draw “perfusion maps” (namely cerebral blood volume, cerebral blood flow and time to peak) very rapidly for ischemic lesions, and to be able to distinguish between core and penumbra regions. A precise and quick diagnosis, in a context of ischemic stroke, can determine the fate of the brain tissues and guide the intervention and treatment in emergency conditions. In this work we present UniToBrain dataset, the very first open-source dataset for CTP. It comprises a cohort of more than a hundred of patients, and it is accompanied by patients metadata and ground truth maps obtained with state-of-the-art algorithms. We also propose a novel neural networks-based algorithm, using the European library ECVL and EDDL for the image processing and developing deep learning models respectively. The results obtained by the neural network models match the ground truth and open the road towards potential sub-sampling of the required number of CT maps, which impose heavy radiation doses to the patients.",
keywords = "Brain CT scan, Dataset, Deep learning, DeepHealth, Ischemic stroke, Medical image synthesis, Perfusion map, U-Net",
author = "Daniele Perlo and Enzo Tartaglione and Umberto Gava and Federico D{\textquoteright}Agata and Edwin Benninck and Mauro Bergui",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 21st International Conference on Image Analysis and Processing , ICIAP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",
year = "2022",
doi = "10.1007/978-3-031-13321-3_44",
language = "English",
isbn = "9783031133206",
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 = "498--509",
editor = "Mazzeo, {Pier Luigi} and Cosimo Distante and Emanuele Frontoni and Stan Sclaroff",
booktitle = "Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers",
address = "Germany",
}