An Open Source Framework for Free Precise Digital Facial Analysis.

Abstract

In the dynamic landscape of digital healthcare and facial aesthetics, there is a rising demand for tools combining precision and accessibility. This article explores an innovative approach emphasizing accuracy and accessibility in facial aesthetic procedures through individualized planning and open-source software utilization. Digital facial analysis was conducted using facial photogrammetry capturing 16 simultaneous images in 0.4 seconds. The images were 3D reconstructed with Blender® software, incorporating selected points, angles, and measurements for facial analysis. Customizable points allowed individualized protocols, and additional measurements, such as the cervicomental angle, were included. Combinations of measurements were automated for comprehensive analysis. The data enabled the generation of a detailed digital facial analysis report, providing a precise and objective assessment. The approach demonstrated potential applications in maxillofacial surgery, plastic surgery, and simulation of dermal fillers and facial implants. Photogrammetry proved comparable to CT scans, eliminating human interference and enhancing accuracy. In the context of high patient expectations and evolving beauty standards, digital facial analysis offers valuable insights for aesthetic procedures. The integration of data into virtual surgical planning software enhances accuracy, but careful individualized planning and informed consent are crucial to manage expectations and legal considerations. This study underscores the role of open-source software, specifically Blender®, in democratizing access to advanced facial analysis tools. Blender's combination of precision and accessibility represents a paradigm shift, fostering innovation and personalized outcomes in facial aesthetic procedures.