Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis

被引:7
作者
Feng, Jialing [1 ]
Guo, Zhexiao [1 ,2 ]
Wang, Jun [3 ]
Dan, Guo [1 ,2 ]
机构
[1] Shenzhen Univ, Sch Biomed Engn, Hlth Sci Ctr, Shenzhen, Peoples R China
[2] Shenzhen Inst Neurosci, Shenzhen, Peoples R China
[3] Southern Med Univ, Shenzhen Hosp, Shenzhen, Peoples R China
关键词
GRADING SYSTEM;
D O I
10.1155/2020/1038906
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A rapid and objective assessment of the severity of facial paralysis allows rehabilitation physicians to choose the optimal rehabilitation treatment regimen for their patients. In this study, patients with facial paralysis were enrolled as study objects, and the eye aspect ratio (EAR) index was proposed for the eye region. The correlation between EAR and the facial nerve grading system 2.0 (FNGS 2.0) score was analyzed to verify the ability of EAR to enhance FNGS 2.0 for the rapid and objective assessment of the severity of the facial paralysis. Firstly, in order to accurately calculate the EAR, we constructed a landmark detection model based on the face images of facial paralysis patients (FP-FLDM). Evaluation results showed that the error rate of facial feature point detection in patients with facial paralysis of FP-FLDM is 17.1%, which was significantly superior to the landmark detection model based on normal face images (NF-FLDM). Secondly, in this study, the Frechet distance was used to calculate the difference in bilateral EAR of facial paralysis patients and to verify the correlation between this difference and the corresponding FNGS 2.0 score. The results showed that the higher the FNGS 2.0 score , the greater the difference in bilateral EAR. The correlation coefficient between the bilateral EAR difference and the corresponding FNGS 2.0 score was 0.9673, indicating a high correlation. Finally, through a 10-fold crossvalidation, we can know that the accuracy of scoring the eyes of patients with facial paralysis using EAR was 85.7%, which can be used to enhance the objective and rapid assessment of the severity of facial paralysis by FNGS 2.0.
引用
收藏
页数:11
相关论文
共 24 条
[11]   One Millisecond Face Alignment with an Ensemble of Regression Trees [J].
Kazemi, Vahid ;
Sullivan, Josephine .
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, :1867-1874
[12]  
Köstinger M, 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS)
[13]  
Le V, 2012, LECT NOTES COMPUT SC, V7574, P679, DOI 10.1007/978-3-642-33712-3_49
[14]   Agreement between the Facial Nerve Grading System 2.0 and the House-Brackmann Grading System in Patients with Bell Palsy [J].
Lee, Ho Yun ;
Park, Moon Suh ;
Byun, Jae Yong ;
Chung, Ji Hyun ;
Na, Se Young ;
Yeo, Seung Geun .
CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY, 2013, 6 (03) :135-139
[15]   Evaluation of Facial Paralysis Degree Based on Regions [J].
Liu, Li'an ;
Cheng, Guanglin ;
Dong, Junyu ;
Wang, Shengke ;
Qu, Haibin .
THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS, 2010, :514-517
[16]  
Sadeghi H, 2013, IRAN CONF MACH, P159, DOI 10.1109/IranianMVIP.2013.6779970
[17]   A SURVEY OF DECISION TREE CLASSIFIER METHODOLOGY [J].
SAFAVIAN, SR ;
LANDGREBE, D .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1991, 21 (03) :660-674
[18]   300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge [J].
Sagonas, Christos ;
Tzimiropoulos, Georgios ;
Zafeiriou, Stefanos ;
Pantic, Maja .
2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2013, :397-403
[19]   Management of the Eye in Facial Paralysis [J].
Sohrab, Mahsa ;
Abugo, Usiwoma ;
Grant, Michael ;
Merbs, Shannath .
FACIAL PLASTIC SURGERY, 2015, 31 (02) :140-144
[20]   Evaluation of a new measurement tool for facial paralysis reconstruction [J].
Tomat, LR ;
Manktelow, RT .
PLASTIC AND RECONSTRUCTIVE SURGERY, 2005, 115 (03) :696-704