NDLI: Quantitative measures of facial expression for patients with head and neck cancer

Content Provider	IEEE Xplore Digital Library
Author	Juhun Lee Fingeret, M.C. Teo, I. Hanasono, M.M. Skoracki, R.J. Markey, M.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Biomed. Eng., Univ. of Texas at Austin, Austin, TX, USA (Markey, M.K.) \|\| Dept. of Behavioral Sci., Univ. of Texas MD Anderson Cancer Center, Houston, TX, USA (Fingeret, M.C.; Teo, I.) \|\| Dept. of Plastic Surg., Univ. of Texas MD Anderson Cancer Center, Houston, TX, USA (Hanasono, M.M.; Skoracki, R.J.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA (Juhun Lee)
Abstract	In addition to changes in facial morphology, head and neck cancer treatment can impact the facial expression. Quantification of changes in facial expression, particularly of smiling, would enable a deeper understanding of the relationship between physical changes and psychosocial adjustment in patients being treated for facial cancer. This study proposes 48 quantitative facial expression measures, which consist of the length normalized distances and slopes between 27 manually annotated fiducial points on standard 2D clinical photographs of patients with head and neck cancer. Using the proposed measures, the maximum intensity of smiling for patients with head and neck cancer prior to their treatments was compared to that of a sample from a healthy population. A total of 7 facial expression measures captured statistically significant differences between patients with head and neck cancer and healthy individuals. These measures suggest that patients with head and neck cancer are less expressive than people without head and neck cancer. This study is the first attempt to quantify the facial expression of patients with head and neck cancer and to build a foundation for studying how surgical interventions may affect their facial expressions. Moreover, this study lays the groundwork for future investigation of the relationship between facial expression and psychosocial adjustment in cancer patients.
Starting Page	3706
Ending Page	3709
File Size	1908529
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cancer Neck Face Educational institutions Surgery Three-dimensional displays
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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