Accuracy of a mitral valve segmentation method using J-splines for real-time 3D echocardiography data.
Accuracy of a mitral valve segmentation method using J-splines for real-time 3D echocardiography data.
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DOI：
10.1007/s10439-013-0784-8
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发表时间：
2013-06
影响因子：
3.8
通讯作者：
Yoganathan, Ajit P.
中科院分区：
文献类型：
--
作者：
Siefert, Andrew W.;Icenogle, David A.;Rabbah, Jean-Pierre M.;Saikrishnan, Neelakantan;Rossignac, Jarek;Lerakis, Stamatios;Yoganathan, Ajit P.
关键词：
心脏二尖瓣（MV）的患者特异性模型显示出手术计划的潜力。虽然3D超声心动图（3DE）的进步已经提供了足够的分辨率来提取MV小叶的几何形状，但还没有研究定量评估其模拟小叶的准确性，而不是对收缩期后的时间框架或不同的瓣膜功能障碍的基本真实标准。基于j样条的基于3de的分割方法的准确性在脉冲模拟器中评估了具有已知四维叶坐标的猪MV在关闭，峰值关闭和打开期间的控制，脱垂和翻动MV模型。对于所有时间点，分割模型与地面真实数据的平均距离误差分别为0.40±0.32 mm、0.52±0.51 mm和0.74±0.69 mm。对于所有模型和时间框架，95%的距离误差在1.64 mm以下。当应用于患者数据集时，分割能够确认反流口和术后适应的改善。本研究提供了一个实验平台，用于评估在收缩期后阶段和不同的中压功能障碍的中压分割方法的准确性。结果证明了MV分割方法的准确性，为未来手术计划工具的发展提供了依据。
Patient-specific models of the heart’s mitral valve (MV) exhibit potential for surgical planning. While advances in 3D echocardiography (3DE) have provided adequate resolution to extract MV leaflet geometry, no study has quantitatively assessed the accuracy of their modeled leaflets versus a ground-truth standard for temporal frames beyond systolic closure or for differing valvular dysfunctions. The accuracy of a 3DE-based segmentation methodology based on J-splines was assessed for porcine MVs with known 4D leaflet coordinates within a pulsatile simulator during closure, peak closure, and opening for a control, prolapsed, and billowing MV model. For all time points, the mean distance error between the segmented models and ground-truth data were 0.40±0.32 mm, 0.52±0.51 mm, and 0.74±0.69 mm for the control, flail, and billowing models. For all models and temporal frames, 95% of the distance errors were below 1.64 mm. When applied to a patient data set, segmentation was able to confirm a regurgitant orifice and post-operative improvements in coaptation. This study provides an experimental platform for assessing the accuracy of an MV segmentation methodology at phases beyond systolic closure and for differing MV dysfunctions. Results demonstrate the accuracy of a MV segmentation methodology for the development of future surgical planning tools.
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DOI：
10.1016/j.echo.2008.11.008
发表时间：
2009-01-01
影响因子：
6.5
作者：
Grewal, Jasmine;Mankad, Sunil;Miller, Fletcher A.
通讯作者：
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影响因子：
3.8
作者：
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影响因子：
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作者：
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DOI：
10.1016/j.echo.2009.02.008
发表时间：
2009-05-01
影响因子：
6.5
作者：
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通讯作者：
Sarraf, Guilda
DOI：
10.1016/s0735-1097(98)00627-5
发表时间：
1999-03-01
影响因子：
24
作者：
Nielsen, SL;Nygaard, H;Yoganathan, AP
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