Ureter tracking and segmentation in CT urography (CTU) using COMPASS.

Ureter tracking and segmentation in CT urography (CTU) using COMPASS.
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使用 COMPASS 在 CT 尿路造影 (CTU) 中进行输尿管跟踪和分割。

DOI:
10.1118/1.4901412
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发表时间:
2014
期刊:
影响因子:
3.8
通讯作者:
Wei,Jun
Wei,Jun
中科院分区:
医学3区
文献类型:
--
作者:
Hadjiiski,Lubomir;Zick,David;Chan,Heang-Ping;Cohan,RichardH;Caoili,ElaineM;Cha,Kenny;Zhou,Chuan;Wei,Jun

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目的:作者正在开发一种用于CTU输尿管自动分割的计算机化系统,称为模型引导寻径分析和分割系统(COMPASS)。输尿管分段是输尿管癌计算机辅助诊断的重要组成部分。方法compass包括三个阶段:(1)基于规则的自适应阈值提取和区域生长,(2)寻径和传播,(3)边缘轮廓提取和特征分析。经机构审查委员会批准,回顾性收集79例患者档案中79例经静脉(IV)造影剂增强的CTU扫描。从79个CTU卷中选择124个输尿管。输尿管平均跨越283张计算机断层扫描片(范围116-399,中位数301)。超过一半的输尿管有恶性或良性病变,部分输尿管壁因恶性而增厚。手动确定124条输尿管的起始点,以初始化COMPASS的跟踪。此外,人工标记各输尿管中心线,作为评价跟踪性能的参考标准。COMPASS的性能通过估计每个输尿管成功跟踪和分割的长度百分比,以及通过估计计算机和手动跟踪中心线之间的平均距离和平均最大距离来定量评估。结果124条输尿管中,120条(97%)完全节段化(100%),121条(98%)节段化70%以上,123条(99%)节段化50%以上。相比之下,使用我们之前的方法,85条(69%)输尿管完全分割(100%),100条(81%)输尿管分割至少70%,107条(86%)输尿管分割至少50%。使用COMPASS,计算机与人工生成的中心线之间的平均距离为0.54 mm,平均最大距离为2.02 mm。使用我们之前的方法,中心线之间的平均距离为0.80 mm,平均最大距离为3.38 mm。输尿管追踪长度和两种距离测量的改善具有统计学意义(p< 0.0001)。结论compass可明显改善输尿管的追踪,包括输尿管病变区、输尿管壁增厚和管腔狭窄。
PurposeThe authors are developing a computerized system for automated segmentation of ureters in CTU, referred to as combined model‐guided path‐finding analysis and segmentation system (COMPASS). Ureter segmentation is a critical component for computer‐aided diagnosis of ureter cancer.MethodsCOMPASS consists of three stages: (1) rule‐based adaptive thresholding and region growing, (2) path‐finding and propagation, and (3) edge profile extraction and feature analysis. With institutional review board approval, 79 CTU scans performed with intravenous (IV) contrast material enhancement were collected retrospectively from 79 patient files. One hundred twenty‐four ureters were selected from the 79 CTU volumes. On average, the ureters spanned 283 computed tomography slices (range: 116–399, median: 301). More than half of the ureters contained malignant or benign lesions and some had ureter wall thickening due to malignancy. A starting point for each of the 124 ureters was identified manually to initialize the tracking by COMPASS. In addition, the centerline of each ureter was manually marked and used as reference standard for evaluation of tracking performance. The performance of COMPASS was quantitatively assessed by estimating the percentage of the length that was successfully tracked and segmented for each ureter and by estimating the average distance and the average maximum distance between the computer and the manually tracked centerlines.ResultsOf the 124 ureters, 120 (97%) were segmented completely (100%), 121 (98%) were segmented through at least 70%, and 123 (99%) were segmented through at least 50% of its length. In comparison, using our previous method, 85 (69%) ureters were segmented completely (100%), 100 (81%) were segmented through at least 70%, and 107 (86%) were segmented at least 50% of its length. With COMPASS, the average distance between the computer and the manually generated centerlines is 0.54 mm, and the average maximum distance is 2.02 mm. With our previous method, the average distance between the centerlines was 0.80 mm, and the average maximum distance was 3.38 mm. The improvements in the ureteral tracking length and both distance measures were statistically significant (p< 0.0001).ConclusionsCOMPASS improved significantly the ureter tracking, including regions across ureter lesions, wall thickening, and the narrowing of the lumen.
DOI: 10.1053/j.sult.2003.11.002
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发表时间: 2013
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影响因子: 19.7
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