Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms

Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms
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DOI:
10.1016/s1361-8415(01)00037-8
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发表时间:
2001-06-01
影响因子:
10.9
通讯作者:
Muller, K
Muller, K
中科院分区:
工程技术1区
文献类型:
--
作者:
Bullitt, E;Aylward, S;Muller, K

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我们描述和评估了通过链接从磁共振血管成像(MRA)中分割出来的血管来创建详细血管树的方法。树定义过程可以自动排除错误的血管分割。我们的血管树提供的亲子连通性信息对于外科计划和血管内操作的指导都是重要的。我们评估了我们的3D血管树的分支连接的准确性,方法是让两名神经放射科医生在17个数字减影血管造影(DSA)视图上评估140个亲子连接,其中包括7个血管树。每个评价者将每个连接评为(1)正确,(2)不正确,(3)部分正确(一个没有临床意义的小错误),或(4)不确定。通过计算完全正确的比例和临床可接受的比例(完全或部分正确)的95%可信区间,对每个评估者的分析进行总结。为了保护总体类型I错误率,使用自上而下策略进行阿尔法分裂。此外,我们还通过检查11个MRA数据集中的每个切片来评估分割的完整性,以便在分割后的横断面上确定可识别的未标记血管。结果表明,只有一个血管亲子连接被两位评价者判断为不正确。在MRA分辨率范围内,MRA分段似乎完整。我们的结论是,我们的方法允许从分割的3D图像数据创建详细的血管树。我们回顾了文献,并将其他方法与我们自己的方法进行了比较。我们提供了通过我们的方法实现的临床有用的可视化的例子,并取自目前临床使用的可视化程序。(C)2001 Elsevier Science B.V.保留所有权利。
We describe and evaluate methods that create detailed vessel trees by linking vessels that have been segmented from magnetic resonance angiograms (MRA). The tree-definition process can automatically exclude erroneous vessel segmentations. The parent-child connectivity information provided by our vessel trees is important to both surgical planning and to guidance of endovascular procedures. We evaluated the branch connection accuracy of our 3D vessel trees by asking two neuroradiologists to evaluate 140 parent-child connections comprising seven vascular trees against 17 digital subtraction angiography (DSA) views. Each reviewer rated each connection as (1) Correct, (2) Incorrect, (3) Partially correct (a minor error without clinical significance), or (4) Indeterminate. Analysis was summarized for each evaluator by calculating 95% confidence intervals for both the proportion completely correct and the proportion clinically acceptable (completely or partially correct). In order to protect the overall Type I error rate, alpha-splitting was done using a top down strategy. We additionally evaluated segmentation completeness by examining each slice in 11 MRA datasets in order to determine unlabeled vessels identifiable in cross-section following segmentation. Results indicate that only one vascular parent-child connection was judged incorrect by both reviewers. MRA segmentations appeared complete within MRA resolution limits. We conclude that our methods permit creation of detailed vascular trees from segmented 3D image data. We review the literature and compare other approaches to our own. We provide examples of clinically useful visualizations enabled by our methodology and taken from a visualization program now in clinical use. (C) 2001 Elsevier Science B.V. All rights reserved.