首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach
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Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach

机译:使用更快的RCNN的B模式超声图像中常见的颈动脉横截面的定位:深度学习方法

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摘要

Cardiologists can acquire important information related to patients' cardiac health using carotid artery stiffness, its lumen diameter (LD), and its carotid intima-media thickness (cIMT). The sonographers primarily concern about the location of the artery in B-mode ultrasound images. Localization using manual methods is tedious and time-consuming and also may lead to some errors. On the other hand, automated approaches are more objective and can provide the localization of the artery at near real time. Above arterial parameters may be determined after localization of the artery in real time.
机译:心脏病学家可以使用颈动脉刚度,其腔直径(LD)及其颈动脉内膜介质厚度(CIMT)来获取与患者心脏健康有关的重要信息。 超声监测器主要关注动脉在B模式超声图像中的位置。 使用手动方法的本地化是繁琐且耗时的,并且也可能导致一些错误。 另一方面,自动化方法更客观,可以在接近实时提供动脉的定位。 可以在动脉实时定位后确定动脉参数。

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