Automatic segmentation of puborectalis muscle on three-dimensional transperineal ultrasound.

Automatic segmentation of puborectalis muscle on three-dimensional transperineal ultrasound.
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DOI:
10.1002/uog.18927
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发表时间:
2018-07
期刊:
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
影响因子:
--
通讯作者:
van Stralen M
van Stralen M
中科院分区:
其他
文献类型:
--
作者:
van den Noort F;Grob ATM;Slump CH;van der Vaart CH;van Stralen M

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由于需要对观察者进行适当的培训,将耻骨直肠肌的三维(3D)分析用于诊断目的妨碍了日常实践。经会阴三维超声对PRM的自动分割有助于将其整合到临床实践中。本研究的目的是提出并评估一种用于经会阴三维超声的PRM的手动3D分割的方案,并将其用于训练PRM的自动3D分割方法。这项研究中使用的数据来自于怀孕12 周时从单胎妊娠的未分娩妇女身上获得的经会阴三维超声盆底序列。在一种有效的二维分割协议的基础上,开发了一种用于PRM的手动3D分割协议。对于自动分割,开发了PRM的活动外观模型,并使用来自50名女性的手动分割数据进行训练。通过测量分割之间的重叠度和距离,分析了人工分割和自动分割的性能。测量耻骨直肠肌的平均回声和体积的组内相关系数(ICCs)及其95%的CI,以评估手动方法在观察者间和观察者内的可靠性,并比较手动和自动方法。对于手动分割,观察者间的平均回声和体积的可靠性非常好(ICCS分别为0.987和0.910),观察者间的可靠性也很好(ICCS分别为0.991和0.877)。在人工分割和自动分割的比较中,平均回声和平均体积的ICCS分别为0.968和0.626。人工分割的重叠和距离结果与预期一致,平均只有2-3个像素不匹配,重叠合理。基于重叠和距离,检测到5个不匹配的自动分割,自动分割成功率为90%。本研究提出了一种可靠的PRM人工分割方案和自动3D分割方法,这将有助于未来对PRM的研究,允许可靠地测量潜在临床有价值的参数,如平均回声。©2017作者。超声在产科和妇科由John Wiley&Sons有限公司代表国际超声妇产科学会出版。
The introduction of three‐dimensional (3D) analysis of the puborectalis muscle (PRM) for diagnostic purposes into daily practice is hindered by the need for appropriate training of observers. Automatic segmentation of the PRM on 3D transperineal ultrasound may aid its integration into clinical practice. The aims of this study were to present and assess a protocol for manual 3D segmentation of the PRM on 3D transperineal ultrasound, and to use this for training of automatic 3D segmentation method of the PRM. The data used in this study were derived from 3D transperineal ultrasound sequences of the pelvic floor acquired at 12 weeks' gestation from nulliparous women with a singleton pregnancy. A manual 3D segmentation protocol was developed for the PRM based on a validated two‐dimensional segmentation protocol. For automatic segmentation, active appearance models of the PRM were developed, trained using manual segmentation data from 50 women. The performances of both manual and automatic segmentation were analyzed by measuring the overlap and distance between the segmentations. Intraclass correlation coefficients (ICCs) and their 95% CIs were determined for mean echogenicity and volume of the puborectalis muscle, in order to assess inter‐ and intraobserver reliabilities of the manual method using data from 20 women, as well as to compare the manual and automatic methods. Interobserver reliabilities for mean echogenicity and volume were very good for manual segmentation (ICCs 0.987 and 0.910, respectively), as were intraobserver reliabilities (ICCs 0.991 and 0.877, respectively). ICCs for mean echogenicity and volume were very good and good, respectively, for the comparison of manual vs automatic segmentation (0.968 and 0.626, respectively). The overlap and distance results for manual segmentation were as expected, showing an average mismatch of only 2–3 pixels and reasonable overlap. Based on overlap and distance, five mismatches were detected for automatic segmentation, resulting in an automatic segmentation success rate of 90%. This study presents a reliable manual segmentation protocol and automatic 3D segmentation method for the PRM, which will facilitate future investigation of the PRM, allowing for the reliable measurement of potentially clinically valuable parameters such as mean echogenicity. © 2017 The Authors. Ultrasound in Obstetrics & Gynecology Published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.
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