Biomedical Engineering Group, Department of Electrical and Computer Engineering, Engineering College, University of Tehran, Tehran, Iran.
Otorhinolaryngology Head and Neck Surgery Department, Otorhinolaryngology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Facial Plast Surg Aesthet Med. 2020 Nov/Dec;22(6):406-411. doi: 10.1089/fpsam.2019.0016. Epub 2020 May 6.
Providing realistic and useful preoperative counseling based on a surgeon's knowledge and experience. Using previous preoperative and postoperative patients' images to predict the postoperative result of a new query patient. After preprocessing for image standardization, facial landmarking was done using 68 points on the frontal view and 19 points on the profile view. Facial features were calculated and image retrieval was done based on similarity measurement between the query image's feature vector and database images' feature vectors. The nasal areas on the postoperative retrieved images were swapped to the corresponding region on the query patient's face at a unicenter tertiary hospital. We randomly selected the color profile photographs of 400 patients (360 women and 40 men) from the database of all rhinoplasty patients who had been successfully operated at Valiasr hospital from 2010 to 2018. The accuracy of this preoperative simulation was >80% in our pilot study in 20 patients. This system is fast, easy to handle, reliable, and accurate to simulate postoperative outcomes both in frontal and profile views. We believe that this system could not only improve more informative communication between surgeons and patients but also could facilitate the training of surgeons and residents.
基于医生的知识和经验，提供真实且有用的术前咨询。利用之前的术前和术后患者的图像来预测新查询患者的术后结果。经过图像标准化预处理后，在正视图上使用 68 个点和侧视图上使用 19 个点进行面部地标定位。计算面部特征，并根据查询图像特征向量和数据库图像特征向量之间的相似性度量进行图像检索。在一家三级医院的中心化位置，将术后检索图像的鼻部区域交换到查询患者面部的相应区域。我们随机选择了 400 名患者（360 名女性和 40 名男性）的彩色侧位照片，这些患者是 2010 年至 2018 年在瓦利阿斯尔医院成功接受过鼻整形手术的所有患者数据库中的一部分。在我们对 20 名患者进行的试点研究中，这种术前模拟的准确率超过 80%。该系统快速、易于操作、可靠且准确，可以模拟正视图和侧视图中的术后结果。我们相信，该系统不仅可以改善医生和患者之间更具信息量的沟通，还可以促进医生和住院医师的培训。
