作者
Yiming Xiao, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Ines Machado, Yangming Ou, Mattias P Heinrich, Julia A Schnabel, Xia Zhong, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen
发表日期
2019/8/13
期刊
IEEE transactions on medical imaging
卷号
39
期号
3
页码范围
777-786
出版商
IEEE
简介
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 …
引用总数
2019202020212022202320243917171612
学术搜索中的文章