Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.
Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.
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DOI：
10.1016/j.neuroimage.2012.08.075
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发表时间：
2013-01-01
期刊：
影响因子：
5.7
通讯作者：
Ying, Sarah H.
中科院分区：
文献类型：
--
作者：
Bogovic, John A.;Jedynak, Bruno;Rigg, Rachel;Du, Annie;Landman, Bennett A.;Prince, Jerry L.;Ying, Sarah H.
从图像分割获得的体积测量有助于揭示结构-功能关系。然而，小脑的解剖学研究是一项具有挑战性的任务。由于其复杂的结构，为了实现可靠、准确的分割和包裹，需要专业的人工评估人员。对于大型研究来说，这样的描述既耗时又昂贵。因此，我们提出了一个由三部分组成的小脑包裹系统，该系统利用多个非专家的人类评分者，可以有效和方便地产生几乎与专家相当的结果。该系统包括一个分层划分协议，一个快速的验证和评估过程，以及统计融合的非专家的rater包裹。通过对评分者和融合者的骰子相似系数、感兴趣区域（ROI）体积和区域体积的类内相关系数的检验，确定了评分者和融合者的分割质量。在最好的分拆水平上，比价内的比价系数为0.93。
Volumetric measurements obtained from image parcellation have been instrumental in uncovering structure-function relationships. However, anatomical study of the cerebellum is a challenging task. Because of its complex structure, expert human raters have been necessary for reliable and accurate segmentation and parcellation. Such delineations are time-consuming and prohibitively expensive for large studies. Therefore, we present a three-part cerebellar parcellation system that utilizes multiple inexpert human raters that can efficiently and expediently produce results nearly on par with those of experts. This system includes a hierarchical delineation protocol, a rapid verification and evaluation process, and statistical fusion of the inexpert rater parcellations. The quality of the raters’ and fused parcellations was established by examining their Dice similarity coefficient, region of interest (ROI) volumes, and the intraclass correlation coefficient of region volume. The intra-rater ICC was found to be 0.93 at the finest level of parcellation.
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