The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of
Healthy Brain Tissue via Inpainting
- URL: http://arxiv.org/abs/2305.08992v2
- Date: Wed, 9 Aug 2023 16:13:00 GMT
- Title: The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of
Healthy Brain Tissue via Inpainting
- Authors: Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva
Oswald, Ezequiel de da Rosa, Hongwei Bran Li, Ujjwal Baid, Florian Hoelzl,
Oezguen Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas,
Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni,
Dominic LaBella, Ahmed W Moawad, Keyvan Farahani, James Eddy, Timothy
Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter
Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana
Familiar, Gian-Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos,
John Freymann, Justin Kirby, Michel Bilello, Hassan M Fathallah-Shaykh,
Roland Wiest, Jan Kirschke, Rivka R Colen, Aikaterini Kotrotsou, Pamela
Lamontagne, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Marc-Andr\'e
Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee
Cha, Javier Villanueva-Meyer, Errol Colak, Priscila Crivellaro, Andras Jakab,
Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van
Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov,
Marie Piraud, Bjoern Menze
- Abstract summary: For brain tumor patients, the image acquisition time series typically starts with a scan that is already pathological.
Many algorithms are designed to analyze healthy brains and provide no guarantees for images featuring lesions.
Here, the participants' task is to explore inpainting techniques to synthesize healthy brain scans from lesioned ones.
The challenge is organized as part of the BraTS 2023 challenge hosted at the MICCAI 2023 conference in Vancouver, Canada.
- Score: 8.272737523939691
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A myriad of algorithms for the automatic analysis of brain MR images is
available to support clinicians in their decision-making. For brain tumor
patients, the image acquisition time series typically starts with a scan that
is already pathological. This poses problems, as many algorithms are designed
to analyze healthy brains and provide no guarantees for images featuring
lesions. Examples include but are not limited to algorithms for brain anatomy
parcellation, tissue segmentation, and brain extraction. To solve this dilemma,
we introduce the BraTS 2023 inpainting challenge. Here, the participants' task
is to explore inpainting techniques to synthesize healthy brain scans from
lesioned ones. The following manuscript contains the task formulation, dataset,
and submission procedure. Later it will be updated to summarize the findings of
the challenge. The challenge is organized as part of the BraTS 2023 challenge
hosted at the MICCAI 2023 conference in Vancouver, Canada.
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