UniToBrain Dataset: A Brain Perfusion Dataset

Daniele Perlo, Enzo Tartaglione*, Umberto Gava, Federico D’Agata, Edwin Benninck, Mauro Bergui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationImage Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers
EditorsPier Luigi Mazzeo, Cosimo Distante, Emanuele Frontoni, Stan Sclaroff
PublisherSpringer Science and Business Media Deutschland GmbH
Pages498-509
Number of pages12
ISBN (Print)9783031133206
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event21st International Conference on Image Analysis and Processing , ICIAP 2022 - Lecce, Italy
Duration: 23 May 202227 May 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13373 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Image Analysis and Processing , ICIAP 2022
Country/TerritoryItaly
CityLecce
Period23/05/2227/05/22

Keywords

  • Brain CT scan
  • Dataset
  • Deep learning
  • DeepHealth
  • Ischemic stroke
  • Medical image synthesis
  • Perfusion map
  • U-Net

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