Xiao Y, Maier A, Wein W, Shams R, Kadoury S, Drobny D, Modat M, Reinertsen I, Rivaz H, Chabanas M, Fortin M, MacHado I, Ou Y, Heinrich MP, Schnabel JA, Zhong X (2020)
Publication Type: Journal article
Publication year: 2020
Book Volume: 39
Pages Range: 777-786
Article Number: 8795512
Journal Issue: 3
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-operative tissue deformation, called brain shift. Brain shift can move the surgical targets and other vital structures such as blood vessels, thus invalidating the pre-surgical plan. Intra-operative ultrasound (iUS) is a convenient and cost-effective imaging tool to track brain shift and tumor resection. Accurate image registration techniques that update pre-surgical MRI based on iUS are crucial but challenging. The MICCAI Challenge 2018 for Correction of Brain shift with Intra-Operative UltraSound (CuRIOUS2018) provided a public platform to benchmark MRI-iUS registration algorithms on newly released clinical datasets. In this work, we present the data, setup, evaluation, and results of CuRIOUS 2018, which received 6 fully automated algorithms from leading academic and industrial research groups. All algorithms were first trained with the public RESECT database, and then ranked based on a test dataset of 10 additional cases with identical data curation and annotation protocols as the RESECT database. The article compares the results of all participating teams and discusses the insights gained from the challenge, as well as future work.
APA:
Xiao, Y., Maier, A., Wein, W., Shams, R., Kadoury, S., Drobny, D.,... Zhong, X. (2020). Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Transactions on Medical Imaging, 39(3), 777-786. https://doi.org/10.1109/TMI.2019.2935060
MLA:
Xiao, Yiming, et al. "Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge." IEEE Transactions on Medical Imaging 39.3 (2020): 777-786.
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