The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Abstract
Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted images with and without contrast enhancement, T2-weighted images, and FLAIR images. However, some sequences are often missing in clinical practice due to time constraints or image artifacts, such as patient motion. Consequently, the ability to substitute missing modalities and gain segmentation performance is highly desirable and necessary for the broader adoption of these algorithms in the clinical routine. In this work, we present the establishment of the Brain MR Image Synthesis Benchmark (BraSyn) in conjunction with the Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2023. The primary objective of this challenge is to evaluate image synthesis methods that can realistically generate missing MRI modalities when multiple available images are provided. The ultimate aim is to facilitate automated brain tumor segmentation pipelines. The image dataset used in the benchmark is diverse and multi-modal, created through collaboration with various hospitals and research institutions.
Keywords
Cite
@article{arxiv.2305.09011,
title = {The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)},
author = {Hongwei Bran Li and Gian Marco Conte and Qingqiao Hu and Syed Muhammad Anwar and Florian Kofler and Ivan Ezhov and Koen van Leemput and Marie Piraud and Maria Diaz and Byrone Cole and Evan Calabrese and Jeff Rudie and Felix Meissen and Maruf Adewole and Anastasia Janas and Anahita Fathi Kazerooni and Dominic LaBella and Ahmed W. Moawad and Keyvan Farahani and James Eddy and Timothy Bergquist and Verena Chung and Russell Takeshi Shinohara and Farouk Dako and Walter Wiggins and Zachary Reitman and Chunhao Wang and Xinyang Liu and Zhifan Jiang and Ariana Familiar and Elaine Johanson and Zeke Meier and Christos Davatzikos and John Freymann and Justin Kirby and Michel Bilello and Hassan M. Fathallah-Shaykh and Roland Wiest and Jan Kirschke and Rivka R. Colen and Aikaterini Kotrotsou and Pamela Lamontagne and Daniel Marcus and Mikhail Milchenko and Arash Nazeri and Marc André Weber and Abhishek Mahajan and Suyash Mohan and John Mongan and Christopher Hess and Soonmee Cha and Javier Villanueva and Meyer Errol Colak and Priscila Crivellaro and Andras Jakab and Jake Albrecht and Udunna Anazodo and Mariam Aboian and Thomas Yu and Verena Chung and Timothy Bergquist and James Eddy and Jake Albrecht and Ujjwal Baid and Spyridon Bakas and Marius George Linguraru and Bjoern Menze and Juan Eugenio Iglesias and Benedikt Wiestler},
journal= {arXiv preprint arXiv:2305.09011},
year = {2024}
}
Comments
Technical report of BraSyn