In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of the nasal bone, so that it prevents surgical complications and enhances the patient’s satisfaction. The penetrating form of high-energy electromagnetic radiation is highly impacted on human health, which has often raised concerns of alternative method for facial analysis. The critical stage to assess nasal morphology is the nasal analysis on its anthropology that is highly reliant on the understanding of the structural features of the nasal radix. For example, the shape and size of nasal bone features, skin thickness, and also body factors aggregated from different facial anthropology values. In medical diagnosis, however, the morphology of the nasal bone is determined manually and significantly relies on the clinician’s expertise. Furthermore, the evaluation anthropological keypoint of the nasal bone is nonrepeatable and laborious, also finding widely differ and intralaboratory variability in the results because of facial soft tissue and equipment defects. In order to overcome these problems, we propose specialized convolutional neural network (CNN) architecture to accurately predict nasal measurement based on digital 2D photogrammetry. To boost performance and efficacy, it is deliberately constructed with many layers and different filter sizes, with less filters and optimizing parameters. Through its result, the back-propagation neural network (BPNN) indicated the correlation between differences in human body factors mentioned are height, weight known as body mass index (BMI), age, gender, and the nasal bone dimension of the participant. With full of parameters could the nasal morphology be diagnostic continuously. The model’s performance is evaluated on various newest architecture models such as DenseNet, ConvNet, Inception, VGG, and MobileNet. Experiments were directly conducted on different facials. The results show the proposed architecture worked well in terms of nasal properties achieved which utilize four statistical criteria named mean average precision (mAP), mean absolute error (MAE), R -square ( R 2 ), and T -test analyzed. Data has also shown that the nasal shape of Southeast Asians, especially Vietnamese, could be divided into different types in two perspective views. From cadavers for bony datasets, nasal bones can be classified into 2 morphological types in the lateral view which “V” shape was presented by 78.8% and the remains were “S” shape evaluated based on Lazovic (2015). With 2 angular dimension averages are 136.41 ± 7.99 and 104.25 ± 5.95 represented by the nasofrontal angle (g-n-prn) and the nasomental angle (n-prn-sn), respectively. For frontal view, classified by Hwang, Tae-Sun, et al. (2005), nasal morphology of Vietnamese participants could be divided into three types: type A was present in 57.6% and type B was present in 30.3% of the noses. In particular, types C, D, and E were not a common form of Vietnamese which includes the remaining number of participants. In conclusion, the proposed model performed the potential hybrid of CNN and BPNN with its application to give expected accuracy in terms of keypoint localization and nasal morphology regression. Nasal analysis can replace MRI imaging diagnostics that are reflected by the risk to human body.

No abstract

Facial anthropometrics are measurements of human faces and are important figures that are used in many different fields, such as cosmetic surgery, protective gear design, reconstruction, etc. Therefore, the first procedure is to extract facial landmarks, then measurements are carried out by professional devices or based on experience. The aim of this review is to provide an update and review of 3D facial measurements, facial landmarks, and nasal reconstruction literature. The novel methods to detect facial landmarks including non-deep and deep learning are also introduced in this paper. Moreover, the nose is the most attractive part of the face, so nasal reconstruction or rhinoplasty is a matter of concern, and this is a significant challenge. The documents on the use of 3D printing technology as an aid in clinical diagnosis and during rhinoplasty surgery are also surveyed. Although scientific technology development with many algorithms for facial landmarks extraction have been proposed, their application in the medical field is still scarce. Connectivity between studies in different fields is a major challenge today; it opens up opportunities for the development of technology in healthcare. This review consists of the recent literature on 3D measurements, identification of landmarks, particularly in the medical field, and finally, nasal reconstruction technology. It is a helpful reference for researchers in these fields.

BACKGROUND: Nowadays, there are few types of research held in Vietnam to investigate the anthropometric index of the nose as well as analysis the structure of nasal tip on ultrasound to identify the relationship between these parameters. AIM: determine the relationship between the height and the width of the nasal tip and the structures constructed these areas by anthropometric and ultrasound measurement. METHODS: a descriptive study in Thanh Van Hospital from December 2017 to April 2019. RESULTS: There were 94 women (62.7%), and 56 men (37.3%) and the average age were 33.6 years old. The height and width of the nasal tip are 10.1 mm and 21.7 mm, respectively. Through the ultrasound, the thickness of the adipose tissues is 3 mm. The width of the interdomal fat pad is 6.5 mm and the distance between two tip point is 5.6 mm. There are the relationships between the distance of two tip points and the width of the tip (r = 0.341), and the width of the interdomal fat pad (r = 0.72). There is also the correlation between the width of the nasal tip with the distance of two tip points (r = 0.46) and the height of the tip with the thickness of the interdomal fat pad (r = 1.23). CONCLUSION: The thickness of the interdomal fat affects the height of the tip, and the distance of two tip points influences the width of the tip.

BACKGROUND: There are recently many studies about the anatomy of lower lateral cartilage (LLC). However, the microanatomic studies to identify the segments of most LLC at the nasal tip in Vietnamese are very rare. AIM: Investigate the macroanatomic and microanatomic characteristics of the LLC and the structures of the nasal tip. METHODS: Descriptive study, 30 cadaver noses fixed by 10% formalin, 2 cadaver noses fixed by HE in 69 Institutes in Vietnam from December 2017 to April 2019. RESULTS: The average length of the medial crus is 12.3 mm on the right and 13.2 mm on the left. The maximum intercrural distance is 10.7 mm. The average length of the dome is 3.7 mm and 3.9 mm on the right and left side separately, with 2 subunits are the domal and lobular segment. The average thickness of the tip points is 1.0 mm. The width of the interdomal and intercrural ligaments are 0.5-fold the height and 2-fold the thickness. The thickness of the interdomal fat pad is 3mm and about 0.5-fold the wide. CONCLUSION: The LLC has 3 parts: intermediate, medial and lateral crus. The microanatomic structures of tip consist of the interdomal ligaments, intercrural ligaments, SMAS and interdomal fat pad.