Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
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DOI：
10.1109/tmi.2011.2158349
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发表时间：
2011-11-01
影响因子：
10.6
通讯作者：
Pluim, Josien P. W.
中科院分区：
文献类型：
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作者：
Murphy, Keelin;van Ginneken, Bram;Pluim, Josien P. W.
EMPIRE 10（肺部图像配准方法评价2010）是一个公共平台，用于对应用于患者体内胸部CT图像对数据库的配准算法进行公平和有意义的比较。非刚性配准技术的评价是一项重要的任务。更糟糕的是，研究人员通常只对自己的数据进行测试，而这些数据差异很大。由于这个原因，过去几乎不可能对不同的配准算法进行可靠的评估和比较。在这项工作中，我们介绍了EMPIRE 10的启动阶段的结果，其中包括来自领先的学术和工业研究团体的20个单独算法的综合评估和比较。所有算法均适用于同一组30个胸部CT对。算法设置和参数由研究人员在自己的方法配置中选择，评估是独立的，对所有参与者使用相同的标准。所有结果都公布在EMPIRE 10网站（http：//www.example.com）上。empire10.isi.uu.nl挑战仍在进行，并向新的参与者开放。在撰写本文时，24种算法的完整结果已经发布。本文详细介绍了挑战赛的组织，数据和评估方法以及20种算法的初步启动结果。在知识的增益和未来的工作进行了讨论。
EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intrapatient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the configuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website (http://empire10.isi.uu.nl). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.