Fetal facial ultrasound plane recognition based on real-time object detection network and its application
10.3969/j.issn.1005-202X.2024.02.019
- VernacularTitle:基于实时目标检测网络的胎儿颜面部超声切面识别及应用
- Author:
Zhonghua LIU
1
,
2
;
Weifeng YU
;
Xiuming WU
;
Hao XUE
;
Guorong LÜ
;
Xiaoli WANG
;
Peizhong LIU
Author Information
1. 福建医科大学附属泉州第一医院超声科,福建泉州 362000
2. 华侨大学工学院,福建泉州 362000
- Keywords:
ultrasound examination;
artificial intelligence;
real-time object detection network;
fetal;
face
- From:Chinese Journal of Medical Physics
2024;41(2):247-252
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the role of an artificial intelligence(AI)model based on real-time object detection network in fetal facial ultrasound examination.Methods With the normal fetal facial ultrasound standard plane(FFUSP)at 20-24 weeks of gestation as the research object,a FFUSP recognition model based on real-time object detection network was constructed.The recognition accuracy of the model for FFUSP and the anatomical structures were analyzed,and the clinical value was evaluated by analyzing its performance in identifying FFUSP in 119 cases of fetal ultrasound images.Results The overall precision,recall rate,mAP@.5 and mAP@.5:.95 of the AI model were 97.8%,98.5%,98.1%and 61.0%,respectively.The clinical validation showed that the AI model had a sensitivity,specificity,positive predictive value,negative predictive value and accuracy of 100.0%,98.5%,87.4%,100.0%and 98.7%for facial anatomy recognition,and the results were highly consistent with the classification of fetal ultrasound experts(k=0.925,P<0.001).The recognition accuracy of the model for 3 types of standard planes reached 100%;and the average speed of dynamic video detection was 33.93 frames per second.Conclusion The FFUSP recognition model based on real-time object detection network exhibits excellent performance,and it can be applied to real-time ultrasound diagnosis,teaching and intelligent quality evaluation.
