Facial vascular visualization enhancement based on optical detection technology.

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Kai Liu, Kai Li, Xudong Wang, Jiuai Sun, Steve G F Shen
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Abstract

Objective: This study aims to develop a facial vascular enhancement imaging system and analyze vascular distribution in the facial region to assess its potential in preventing unintended intravascular injections during cosmetic facial filling procedures.

Methods: A facial vascular enhancement imaging system based on optical detection technology was designed, and volunteers were recruited. The system was utilized to detect and analyze vascular distribution in various anatomical regions of the faces. The vascular visualization-enhanced (VVE) images generated by the system were compared with visible light images to validate the vascular visualization capability of the system. Additionally, the reliability of vascular visualization was assessed by comparing the observed vascular patterns in the VVE images with those in near-infrared light images.

Results: Thirty volunteers were recruited. The VVE images produced by the system demonstrated a significant capacity to identify vascular morphology and yielded a higher vessel count compared to visible light images, particularly in the frontal, orbital, perioral, mental, temporal, cheek, and parotid masseter regions (P < .05). The temporal region exhibited the highest vascular density, followed by the cheek region and then the frontal region. Reliability analysis of vascular visualization enhancement indicated that the system's imaging of facial vasculature not only demonstrated reliability but also enhanced physicians' visual perception.

Conclusion: Blood vessel distribution varies across facial regions. The facial vascular enhancement imaging system facilitates real-time and clear visualization of facial vasculature, offering immediate visual feedback to surgeons. This innovation holds promise for enhancing the safety and effectiveness of facial filling procedures.

基于光学检测技术的面部血管可视化增强技术。
目的:本研究旨在开发一种面部血管增强成像系统,并分析其在面部区域的血管分布:本研究旨在开发一种面部血管增强成像系统,并分析面部区域的血管分布,以评估其在面部填充美容手术中防止意外血管内注射的潜力:方法: 设计了基于光学检测技术的面部血管增强成像系统,并招募了志愿者。方法:设计了一种基于光学检测技术的面部血管增强成像系统,并招募了志愿者,利用该系统检测和分析面部不同解剖区域的血管分布。将该系统生成的血管可视化增强图像与可见光图像进行比较,以验证该系统的血管可视化能力。此外,通过比较血管可视化增强图像与近红外线图像中观察到的血管形态,评估了血管可视化的可靠性:结果:共招募了 30 名志愿者。结果:共招募了 30 名志愿者,该系统生成的血管可视化增强图像显示出明显的血管形态识别能力,与可见光图像相比,血管计数更高,尤其是在额部、眼眶、口周、精神、颞部、面颊和腮腺颌面部(p 结论:血管分布在面部各区域有所不同:面部各区域的血管分布各不相同。面部血管增强成像系统有助于实时、清晰地观察面部血管,为外科医生提供即时的视觉反馈。这项创新有望提高面部填充手术的安全性和有效性。
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来源期刊
CiteScore
5.60
自引率
9.10%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Dentomaxillofacial Radiology (DMFR) is the journal of the International Association of Dentomaxillofacial Radiology (IADMFR) and covers the closely related fields of oral radiology and head and neck imaging. Established in 1972, DMFR is a key resource keeping dentists, radiologists and clinicians and scientists with an interest in Head and Neck imaging abreast of important research and developments in oral and maxillofacial radiology. The DMFR editorial board features a panel of international experts including Editor-in-Chief Professor Ralf Schulze. Our editorial board provide their expertise and guidance in shaping the content and direction of the journal. Quick Facts: - 2015 Impact Factor - 1.919 - Receipt to first decision - average of 3 weeks - Acceptance to online publication - average of 3 weeks - Open access option - ISSN: 0250-832X - eISSN: 1476-542X
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