ABSTRACT
Objective@#To explore the clinical application of three-dimensional face virtual plastic system.@*Methods@#80 patients (28 males and 52 females, aged 18-40 years) who underwent facial plastic surgery in Xiangya Hospital were sampled with two-dimensional human color images and three-dimensional human point cloud data continuously. Face detection was performed on the collected data, and super-resolution fusion was performed on the detected three-dimensional human point clouds. A three-dimensional face model was built using the fused three-dimensional face point cloud data, and the texture mapping technology was used to realize the mapping from two-dimensional color image to three-dimensional face model. Finally, patients and doctors perform virtual surgery on the three-dimensional face model interactively to obtain satisfactory target three-dimensional face model. By comparing the changes of three-dimensional face model before and after virtual surgery, the data to be adjusted in the facial plastic surgery were obtained, and 80 patients received facial plastic surgery according to the data. The three-dimensional face model of patients was reconstructed one year after operation, and then compared with the model of virtual surgery to evaluate the effect of plastic surgery.@*Results@#80 patients underwent plastic surgery with the above method, including 6 cases of medial canthus, 9 cases of lateral canthus, 20 cases of rhinoplasty, 25 cases of lip thinning, and 20 cases of facial fat grafting. One year after operation, 80 patients were satisfied with the result of plastic surgery.@*Conclusions@#The three-dimensional virtual facial plastic system makes the process of plastic design individualized, quantified and digitized. It enables patients to have a better understanding of prognosis in advance, facilitating the communication between doctors and patients, and reducing unnecessary medical disputes.
ABSTRACT
Objective@#To explore the clinical application of three-dimensional face virtual plastic system.@*Methods@#80 patients (28 males and 52 females, aged 18-40 years) who underwent facial plastic surgery in Xiangya Hospital were sampled with two-dimensional human color images and three-dimensional human point cloud data continuously. Face detection was performed on the collected data, and super-resolution fusion was performed on the detected three-dimensional human point clouds. A three-dimensional face model was built using the fused three-dimensional face point cloud data, and the texture mapping technology was used to realize the mapping from two-dimensional color image to three-dimensional face model. Finally, patients and doctors perform virtual surgery on the three-dimensional face model interactively to obtain satisfactory target three-dimensional face model. By comparing the changes of three-dimensional face model before and after virtual surgery, the data to be adjusted in the facial plastic surgery were obtained, and 80 patients received facial plastic surgery according to the data. The three-dimensional face model of patients was reconstructed one year after operation, and then compared with the model of virtual surgery to evaluate the effect of plastic surgery.@*Results@#80 patients underwent plastic surgery with the above method, including 6 cases of medial canthus, 9 cases of lateral canthus, 20 cases of rhinoplasty, 25 cases of lip thinning, and 20 cases of facial fat grafting. One year after operation, 80 patients were satisfied with the result of plastic surgery.@*Conclusions@#The three-dimensional virtual facial plastic system makes the process of plastic design individualized, quantified and digitized. It enables patients to have a better understanding of prognosis in advance, facilitating the communication between doctors and patients, and reducing unnecessary medical disputes.