评估神经辐射场对非侵入性体积测量评估的有效性
Soma Nakaso1,2, Hyakuzoh Ueda1,2, Shimpei Ono2
1From the Department of Plastic and Aesthetic Surgery, Shonan Kamakura General Hospital, Kamakura, Kanagawa, Japan.
Plastic and reconstructive surgery. Global open
|April 15, 2025
概括
在Luma 3D应用程序中使用的神经辐射场 (NeRF) 技术,在门诊环境中准确地测量下肢淋巴的体积. 这种3D成像方法为传统的2D评估提供了一个有希望的替代方案,用于跟踪治疗进展.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 深度学习应用程序
背景情况:
- 准确的胀评估对于下肢淋巴 edem 管理至关重要.
- 传统的二维成像是有限的,而像CT这样的先进方法有限制.
- 神经辐射场 (NeRF) 从二维图像提供先进的3D重建,克服光谱学挑战.
研究的目的:
- 评估Luma 3D iPhone应用程序的有效性,使用NeRF进行下肢淋巴的体积评估.
- 评估基于NeRF的3D建模在门诊临床环境中的可行性.
主要方法:
- 一个案例研究涉及一个88岁的女性,患有慢性淋巴,持续了12个月.
- 利用基于NeRF的3D建模,通过Luma 3D应用程序进行体积测量.
- 对比NeRF 3D测量与计算机断层扫描 (CT) 扫描进行初始和后续评估.
主要成果:
- 最初的CT扫描显示双边体积为19500毫升;NeRF 3D测量为20100毫升.
- 12个月后,CT显示19900毫升;NeRF 3D测量为20300毫升.
- NeRF在评估体积变化方面表现出能力,表现优于2D方法.
结论:
- 在Luma 3D中实施的NeRF技术提供了准确的,非侵入性的3D体积评估,用于门诊环境中的淋巴.
- 这种基于NeRF的方法克服了传统成像的局限性,并显示了医疗设备和远程医疗应用的潜力.
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