基于机器学习的人体外鼻部材料参数识别方法  

Identification Method of Human External Nasal Material Parameters Based on Machine Learning

作　　者：蔡镇 万永平[1] 张辉 CAI Zhen;WAN Yongping;ZHANG Hui(School of Aerospace Engineering and Applied Mechanics,Tongji University,Shanghai 200092,China;Sea-maid Cosmetic Clinic,Xi'an 710000,Shaanxi,China)

机构地区：[1]同济大学航空航天与力学学院,上海200092 [2]希美得医疗美容医院,陕西西安710000

出　　处：《力学季刊》2022年第4期824-834,共11页Chinese Quarterly of Mechanics

基　　金：国家自然科学基金(12072240)。

摘　　要：隆鼻术是一种通过手术植入隆鼻假体来改善鼻部外观形态的鼻整形术式.长期以来隆鼻手术假体尺寸的确定完全依赖于医生的术前经验判断及术中手工雕刻.术中植入假体尺寸不合适,可能会在术后导致各种并发症.本文将人体的外鼻部作为一种超弹性材料来考虑,对受术者的鼻部皮肤软组织进行拉伸试验,使用人工神经网络来确定材料参数与拉伸试验数据之间的关系,提出了一种基于神经网络的外鼻部材料参数识别方法.本文成果有助于医生及假体设计生产厂家定量了解受术者鼻部皮肤状况和鼻部软组织拉伸的安全范围,进而确定隆鼻术假体尺寸,提高手术成功率,减少术后并发症.Nose Augmentation is a rhinoplasty with implanting the prosthesis as the main method, in order to enhance the appearance. For a long time, the determination of prosthesis size in rhinoplasty depends on the surgeon’s personal experience and operational skill. Improper size of implants during surgery may lead to various complications after surgery. In this paper, the external nose of human body is considered as a kind of hyperelastic material, and tensile tests are carried out on the nose skin soft tissue of the subjects. Artificial neural network is used to determine the relationship between the material parameters and the tensile test data, and an identification method of nasal material parameters is proposed based on neural networks. The results of this study are helpful for surgeons to quantitatively understand the skin condition of nose and the safety range of nose soft tissue stretching,and then to determine the size of the prosthesis for rhinoplasty, with increased operation success rate and reduced postoperative complications.

关 键 词：隆鼻术 鼻部张力测试 机器学习 人工神经网络 参数识别 

分 类 号：O34[理学—固体力学] R6[理学—力学]