ArticleWorld journal of plastic surgery2024
An Open Source Framework for Free Precise Digital Facial Analysis.
Article in World journal of plastic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.