• Title/Summary/Keyword: Facial augmentation

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Frontal augmentation as an adjunct to orthognathic or facial contouring surgery

  • Park, Young-Wook
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.38
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    • pp.37.1-37.5
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    • 2016
  • Background: The dimensions and shape of the forehead determine the esthetics of the upper third of the face. Korean young people consider a broad and smooth, rounded forehead more attractive. As a result, frontal augmentation becomes more popular in patients with dentofacial deformities. Various surgical procedures and materials have been used in frontal augmentation surgery, with associated advantages and disadvantages. Silicone is a good candidate for frontal augmentation. The author presents two cases of esthetic frontal augmentation with a prefabricated silicone implant in female patients with dentofacial deformities. Case presentation: In case 1, a 24-year-old female patient underwent frontal augmentation surgery with simultaneous maxillomandibular and zygomatic osteotomies to correct facial asymmetry. A silicone implant was fabricated preoperatively using a positive template stone mold of her forehead. In case 2, a 23-year-old female patient underwent total facial contouring surgery including frontal augmentation for improved facial esthetics. A computed tomography (CT)-guided rapid prototype (RP) model was used to make the silicone implants. The operative procedure was safe and simple, and the silicone implants were reliable for a larger degree of frontal augmentation. Six months later, both patients had recovered from the surgery and were satisfied with their frontal shape and projection. Conclusions: Frontal augmentation with silicone implants can be an effective adjuvant strategy to improve facial esthetics in patients with a flat and narrow forehead who undergo orthognathic reconstruction or total facial contouring surgery.

Facial Expression Classification Using Deep Convolutional Neural Network

  • Choi, In-kyu;Ahn, Ha-eun;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.485-492
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    • 2018
  • In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

THE EFFECTS OF FACIAL DENERVATION ON FACIAL MUSCLES AND BONES IN GROWING RABBITS (안면신경절제가 가토의 안면근육 및 안면골에 미치는 영향에 관한 연구)

  • Park, Young Guk;Lee, Ki Soo
    • The korean journal of orthodontics
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    • v.20 no.1
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    • pp.23-45
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    • 1990
  • It is the aim of this study to determine the effects of facial denervation on physiological properties of facial muscles and facial bones in growing rabbits. Experimental animals of fifty two Oryctolagus cuniculus rabbits were employed. Unilateral dissection of facial nerve was carried out on twelve rabbits, bilateral dissection of facial nerve was made on another twelve rabbits and the other twenty rabbits were on unilateral dissection of facial nerve for the histochemical analyses. Six rabbits on the bilateral surgical sham operations and six rabbits of non-intervention served the control groups. EMG records of the orbicularis oris, buccinator and masseter muscles as well as lateral and dorsoventral cephalometric films were taken and analyzed at 0, 1, 2, 5 and 8 weeks respectively. The orbicularis oris, buccinator and masseter muscles of both sides were removed from the animals of the histochemistry group and muscle fibers were classified on the basis of histochemical staining for $\alpha$-GPD, NADH-D and myosin ATPase. EMG activities of orbicularis oris and buccinator muscles were vanished immediately after denervation. Recovery of activities were detected one week after denervation in buccinator and five weeks in orbicularis oris muscles. Histochemical properties of masseter muscles remained as fast glycolytic through the experimental period. Orbicularis oris muscle fibers showed the gradual diminution of size and ratio of the slow oxidative fibers accompanied with atrophy, phagocytosis and vacuolation as well as the augmentation of fast oxidative glycolytic fibers. The buccinator muscle manifested the augmentation of fast oxidative glycolytic fibers at five weeks of experiment. Visual changes in morphology of craniofacial area were not evident, however it variety of subtle changes were apparent from statistical analysis of cephalometric measurements. It is concluded facial nerve regulates the physiological properties of facial muscles and interrelation between the function of the facial muscles and changes of facial bones would be in some degrees.

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Facial Expression Classification Using Deep Convolutional Neural Network (깊은 Convolutional Neural Network를 이용한 얼굴표정 분류 기법)

  • Choi, In-kyu;Song, Hyok;Lee, Sangyong;Yoo, Jisang
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.162-172
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    • 2017
  • In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. To overcome the disadvantages of existing facial expression databases, various databases are used. In the proposed technique, we construct six facial expression data sets such as 'expressionless', 'happiness', 'sadness', 'angry', 'surprise', and 'disgust'. Pre-processing and data augmentation techniques are also applied to improve efficient learning and classification performance. In the existing CNN structure, the optimal CNN structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of fully-connected layer nodes. Experimental results show that the proposed scheme achieves the highest classification performance of 96.88% while it takes the least time to pass through the CNN structure compared to other models.

3D Emotional Avatar Creation and Animation using Facial Expression Recognition (표정 인식을 이용한 3D 감정 아바타 생성 및 애니메이션)

  • Cho, Taehoon;Jeong, Joong-Pill;Choi, Soo-Mi
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1076-1083
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    • 2014
  • We propose an emotional facial avatar that portrays the user's facial expressions with an emotional emphasis, while achieving visual and behavioral realism. This is achieved by unifying automatic analysis of facial expressions and animation of realistic 3D faces with details such as facial hair and hairstyles. To augment facial appearance according to the user's emotions, we use emotional templates representing typical emotions in an artistic way, which can be easily combined with the skin texture of the 3D face at runtime. Hence, our interface gives the user vision-based control over facial animation of the emotional avatar, easily changing its moods.

Facial Reconstruction Using Groin Dermo-Fat Free Flap in Romberg's Disease: Case Report (Romberg병 소아에서 서혜부 진피-지방 유리피판을 이용한 안면부 재건례)

  • Lee, Yoon Jung;Kim, Jun Sik;Kim, Nam Gyun;Lee, Kyung Suk
    • Archives of Craniofacial Surgery
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    • v.12 no.1
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    • pp.43-47
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    • 2011
  • Purpose: Romberg's disease manifests as progressive hemifacial atrophy of the skin, soft tissue and bone, which usually begins in the first or second decade of life. When present, atrophy may originate from the cutaneous stigmata and may become so sharply delimited by the midline. Methods: A 10-year-old girl, who had suffered from right mandibular area atrophy for 3 years, visited us and was diagnosed with Romberg's disease. The depressed lesion of the face was augmented successfully using a deepithelialized groin free flap. The superficial circumflex iliac vessels were used as the donor pedicle and the facial artery and vein were used as the recipient vessels. Results: After surgery, the flap survived well and she was satisfied with the result. Although there are various methods of facial augmentation using free flaps, this flap has some advantages. First, there is a considerable amount of fat tissue components for augmentation. Second, flap elevation with thinning is possible. Third, the donor site can be hidden. Conclusion: The groin dermo-fat free flap is a good method for the facial augmentation of Romberg's disease.

Robust Head Pose Estimation for Masked Face Image via Data Augmentation (데이터 증강을 통한 마스크 착용 얼굴 이미지에 강인한 얼굴 자세추정)

  • Kyeongtak, Han;Sungeun, Hong
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.944-947
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    • 2022
  • Due to the coronavirus pandemic, the wearing of a mask has been increasing worldwide; thus, the importance of image analysis on masked face images has become essential. Although head pose estimation can be applied to various face-related applications including driver attention, face frontalization, and gaze detection, few studies have been conducted to address the performance degradation caused by masked faces. This study proposes a new data augmentation that synthesizes the masked face, depending on the face image size and poses, which shows robust performance on BIWI benchmark dataset regardless of mask-wearing. Since the proposed scheme is not limited to the specific model, it can be utilized in various head pose estimation models.

Versatile midfacial degloving approach in oral and maxillofacial surgery

  • Anunay, Pangarikar;Umamaheswari, G.;Prachi, Parab;Suresh, Kumar;Devarathnamma, M.V.
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.45 no.4
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    • pp.192-198
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    • 2019
  • Objectives: Oral and maxillofacial surgeons must gain mastery of various approaches to the midface due to the increasing incidence, complexity, and severity of presenting midfacial fractures. Unlike in the case of other body parts, the need to preserve facial aesthetics makes it more difficult for the surgeon to select an approach for managing the facial injuries. The midfacial degloving (MFD) approach is a combination of intraoral and intranasal incisions made to access the midface without any external incision. The aim of the present study was to evaluate the efficacy of MFD in maxillofacial surgery and to assess its advantages and complications. Materials and Methods: The MFD approach was used in five cases, with three cases treated with open reduction and internal fixation and two cases operated on for posttraumatic deformity. Nasal dorsum augmentation was completed in three cases and nasal osteotomy was performed in one case. The bicoronal flap technique was combined with MFD for frontal bone augmentation in one case. The intraoperative time required for flap completion and the ease of performing the planned procedures were noted. Postoperative evaluation was done for reduction, aesthetics, function, and complications. Results: Access was excellent for performing all planned procedures. Average time spent for flap elevation and exposure of the midface was 63 minutes. Complications like postoperative swelling, infraorbital nerve paresthesia, and intranasal crusting were all transient. No long-term complications like stenosis of the nose, sneer deformity, or weakness of the facial muscles were noticed. Additionally, no complications were noted when MFD was combined with bicoronal flap. Conclusion: Though the MFD approach is technically demanding and takes more time than other facial approaches, it should be learned and applied by maxillofacial surgeons in selective cases, as it provides complete exposure of the midface without facial scarring.

A Case Report of Progressive Hemifacial Atrophy (진행성 반안면위축환자의 치험례)

  • Choi, Moon-Gi
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.32 no.4
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    • pp.344-350
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    • 2010
  • A progressive hemifacial atrophy is characterized by progressive atrophy of subcutaneous fat and rarely muscle and bone. Its contour follows the underlying muscle. Unilateral involvement is common. The treatment goal has been focused on the augmentation of the soft tissue. Many materials such as implants, collagen, fat graft, fat injection, dermal fat graft, filler and vascualized autogenous graft have been used. Although these materials have been used, the best treatment hasn't been achived. In severe cases underlying soft tissue, muscle and bone may be atrophied and massive soft tissue graft, implant and orthognathic surgery must be used. The author used the dermal-fat tissue for the pupose of soft tissue augmentation. We can get the massive soft tissue by the dermolipectomy procedure through the mini-abdominoplsty. The facial augmentation was done by augmentation of the dermal-fat tissue. The progressive hemifacial atrophy is hard to treat by only one procedure and many modalites must be considered.

Surgical Anatomy of Temporalis Muscle Transfer with Fascia Lata Augmentation for the Reanimation of the Paralyzed Face: A Cadaveric Study

  • Yi Zhang;Johannes Steinbacher;Wolfgang J. Weninger;Ulrike M. Heber;Lukas Reissig;Erdem Yildiz;Chieh-Han J. Tzou
    • Archives of Plastic Surgery
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    • v.50 no.1
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    • pp.42-48
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    • 2023
  • Background The temporalis muscle flap transfer with fascia lata augmentation (FLA) is a promising method for smile reconstruction after facial palsy. International literature lacks a detailed anatomical analysis of the temporalis muscle (TPM) combined with fascia lata (FL) augmentation. This study aims to describe the muscle's properties and calculate the length of FL needed to perform the temporalis muscle flap transfer with FLA. Methods Twenty nonembalmed male (m) and female (f) hemifacial cadavers were dissected to investigate the temporalis muscle's anatomy. Results The calculated minimum length of FL needed is 7.03cm (f) and 5.99cm (m). The length of the harvested tendon is 3.16cm/± 1.32cm (f) and 3.18/± 0.73cm (m). The length of the anterior part of the temporalis muscle (aTPM) is 4.16/± 0.80cm (f) and 5.30/± 0.85cm (m). The length of the posterior part (pTPM) is 5.24/± 1.51cm (f) and 6.62/± 1.03cm (m). The length from the most anterior to the most posterior point (aTPMpTPM) is 8.60/± 0.98cm (f) and 10.18/± 0.79cm (m). The length from the most cranial point to the distal tendon (cTPMdT) is 7.90/± 0.43cm (f) and 9.79/± 1.11cm (m). Conclusions This study gives basic information about the temporalis muscle and its anatomy to support existing and future surgical procedures in their performance. The recommended minimum length of FL to perform a temporalis muscle transfer with FLA is 7.03cm for female and 5.99cm for male, and minimum width of 3 cm. We recommend harvesting some extra centimeters to allow adjusting afterward.