Olivetti Elena Carlotta, Marcolin Federica, Moos Sandro, Ferrando Alberto, Vezzetti Enrico, Autorino Umberto, Borbon Claudia, Zavattero Emanuele, Gerbino Giovanni, Ramieri Guglielmo
Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Department of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.
J Pers Med. 2021 Mar 13;11(3):205. doi: 10.3390/jpm11030205.
Patients with severe facial deformities present serious dysfunctionalities along with an unsatisfactory aesthetic facial appearance. Several methods have been proposed to specifically plan the interventions on the patient's needs, but none of these seem to achieve a sufficient level of accuracy in predicting the resulting facial appearance. In this context, a deep knowledge of what occurs in the face after bony movements in specific surgeries would give the possibility to develop more reliable systems. This study aims to propose a novel 3D approach for the evaluation of soft tissue zygomatic modifications after zygomatic osteotomy; geometrical descriptors usually involved in face analysis tasks, i.e., face recognition and facial expression recognition, are here applied to soft tissue malar region to detect changes in surface shape. As ground truth for zygomatic changes, a zygomatic openness angular measure is adopted. The results show a high sensibility of geometrical descriptors in detecting shape modification of the facial surface, outperforming the results obtained from the angular evaluation.
患有严重面部畸形的患者不仅面部外观不尽人意，还存在严重的功能障碍。已经提出了几种方法来根据患者的需求专门规划干预措施，但这些方法似乎都无法在预测最终面部外观方面达到足够的准确度。在这种情况下，深入了解特定手术中骨骼移动后面部的变化情况，将有可能开发出更可靠的系统。本研究旨在提出一种新颖的三维方法，用于评估颧骨截骨术后软组织颧骨的变化；通常用于面部分析任务（即面部识别和面部表情识别）的几何描述符，在此应用于软组织颧区以检测表面形状的变化。作为颧骨变化的基准事实，采用了颧骨开口角度测量法。结果表明，几何描述符在检测面部表面形状变化方面具有很高的灵敏度，优于角度评估所获得的结果。
