BraTioUS: A multicenter dataset of baseline intraoperative brain tumor ultrasound images

The BraTioUS (Brain Tumor Intraoperative Ultrasound) dataset [1] is a large-scale, multicenter, and publicly available collection of intraoperative ultrasound (ioUS) images acquired during glioma surgeries. Created through an international collaboration among six hospitals across five countries, BraTioUS comprises 1669 B-mode 2D ioUS images from 142 glioma patients collected between 2018 and 2023 using various ultrasound systems and acquisition protocols. It also includes masks supervised by experts of tumor segmentation from every ioUS image. BraTioUS addresses several limitations found in existing public datasets, such as lack of diversity in acquisition hardware, imaging protocols, and glioma types. The primary objective of this dataset is to be publicly available and accessible for the training and validation of machine learning models aimed at improving the interpretation and use of ioUS. The dataset's scale, quality, and heterogeneity make it a valuable resource for training and validating AI tools aimed at improving intraoperative decision-making and patient outcomes in glioma surgery.

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Publication Details

Journal
Data in Brief
Published
2026-01-15
DOI
https://doi.org/10.1016/j.dib.2026.112478
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

BraTioUS: A multicenter dataset of baseline intraoperative brain tumor ultrasound images

Massimiliano Del Bene, Ignacio Arrese, Timothy R. West, Brian V. Nahed et al.
Data in Brief
Glioma Diagnosis and Treatment
article

BraTioUS: A multicenter dataset of baseline intraoperative brain tumor ultrasound images

Massimiliano Del Bene, Ignacio Arrese, Timothy R. West, Brian V. Nahed, Santiago Aguilar Cepeda, Rosario Sarabia, Giuseppe Roberto Giammalva, Arianna Barbotti, Aliasgar Moiyadi, Vikas Singh, Ilyess Zemmoura, Francesco DiMeco, Prakash Shett, Olga Esteban-Sinovas
article en

Abstract

The BraTioUS (Brain Tumor Intraoperative Ultrasound) dataset [1] is a large-scale, multicenter, and publicly available collection of intraoperative ultrasound (ioUS) images acquired during glioma surgeries. Created through an international collaboration among six hospitals across five countries, BraTioUS comprises 1669 B-mode 2D ioUS images from 142 glioma patients collected between 2018 and 2023 using various ultrasound systems and acquisition protocols. It also includes masks supervised by experts of tumor segmentation from every ioUS image. BraTioUS addresses several limitations found in existing public datasets, such as lack of diversity in acquisition hardware, imaging protocols, and glioma types. The primary objective of this dataset is to be publicly available and accessible for the training and validation of machine learning models aimed at improving the interpretation and use of ioUS. The dataset's scale, quality, and heterogeneity make it a valuable resource for training and validating AI tools aimed at improving intraoperative decision-making and patient outcomes in glioma surgery.

Data in BriefVol. 65
Universidad de Valladolid (ES), Université de Tours (FR), Harvard University (US), Johns Hopkins University (US), Inserm (FR), University of Milan (IT), Homi Bhabha National Institute (IN), Massachusetts General Hospital (US), Centre Hospitalier Universitaire de Tours (FR), Instituto de Biomedicina y Genética Molecular de Valladolid (ES), Azienda di Rilievo Nazionale ed Alta Specializzazione (IT), Neurological Surgery (US), Hospital Universitario Río Hortega (ES), Fondazione IRCCS Istituto Neurologico Carlo Besta (IT), Mass General Brigham (US)
Partnerships for the goals
Openalex Percentile: Top 88%
Glioma Diagnosis and Treatment
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