Usability of semiautomatic segmentation algorithms for tumor volume determination
Usability of semiautomatic segmentation algorithms for tumor volume determination
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DOI：
10.1097/00004424-199902000-00007
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发表时间：
1999-02-01
影响因子：
6.7
通讯作者：
Schlegel, W
中科院分区：
文献类型：
--
作者：
Mahr, A;Levegrün, S;Schlegel, W
原理和说明。肿瘤体积是临床决策的重要参数。目前，半自动图像分割不是肿瘤体积测量的标准，这项工作的目的是研究半自动算法的肿瘤体积确定的可用性。半自动区域和体积增长，等值线，蛇，分层，直方图为基础的分割算法进行了测试的准确性，轮廓的变化，和时间性能。该测试是在一个新开发的模拟人体肝脏和肝转移的有机体模上进行的，通过水置换测量真实的肿瘤体积。这些测量的体积被用作确定算法准确性的金标准。观察到分割体积的变异性范围为3.9 +/- 3.2%（等值线算法）至11.5 +/- 13.9%（分层分割）。在IBM/RS6000工作站上，每个切片的分割时间在32秒（体积增长）和72秒（蛇）之间变化。只有区域生长和等值线算法有潜力用于肿瘤体积测量。然而，这些算法的进一步改进是必要的，然后才能投入临床使用。
RATIONALE AND OBJECTIVES. Tumor volume is an important parameter for clinical decision making. At present, semiautomatic image segmentation is not a standard for tumor volumetry, The aim of this work was to investigate the usability of semiautomatic algorithms for tumor volume determination.METHODS. Semiautomatic region- and volume-growing, isocontour, snakes, hierarchical, and histogram-based segmentation algorithms were tested for accuracy, contour variability, and time performance. The test were performed on a newly developed organic phantom for the simulation of a human liver and liver metastases, The real tumor volumes were measured by water displacement These measured volumes were used as the gold standard for determining the accuracy of the algorithms.RESULTS. Variability of the segmented volumes ranging from 3.9 +/- 3.2% (isocontour algorithm) to 11.5 +/- 13.9% (hierarchical segmentation) was observed. The segmentation time per slice varied between 32 (volume-growing) and 72 seconds (snakes) on an IBM/RS6000 workstation.CONCLUSIONS. Only the region-growing and isocontour algorithms have the potential to be used for tumor volumetry. However, further improvements of these algorithms are necessary before they can be placed into clinical use.