Xia Yunjia, Wang Kui, Billing Addison, Billing Matthew, Cooper Robert J, Zhao Hubin
University College London, HUB of Intelligent Neuro-Engineering, CREATe, Division of Surgery and Interventional Science, Stanmore, United Kingdom.
University College London, DOT-HUB, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Neurophotonics. 2023 Oct;10(4):046601. doi: 10.1117/1.NPh.10.4.046601. Epub 2023 Oct 23.
To effectively apply functional near-infrared spectroscopy (fNIRS)/diffuse optical tomography (DOT) devices, a three-dimensional (3D) model of the position of each optode on a subject's scalp and the positions of that subject's cranial landmarks are critical. Obtaining this information accurately in infants, who rarely stop moving, is an ongoing challenge.
We propose a smartphone-based registration system that can potentially achieve a full-head 3D scan of a 6-month-old infant instantly.
The proposed system is remotely controlled by a custom-designed Bluetooth controller. The scanned images can either be manually or automatically aligned to generate a 3D head surface model.
A full-head 3D scan of a 6-month-old infant can be achieved within 2 s via this system. In testing on a realistic but static infant head model, the average Euclidean error of optode position using this device was 1.8 mm.
This low-cost 3D registration system therefore has the potential to permit accurate and near-instant fNIRS/DOT spatial registration.
为了有效应用功能近红外光谱（fNIRS）/扩散光学断层扫描（DOT）设备，受试者头皮上每个光极的位置以及该受试者颅骨标志点的位置的三维（3D）模型至关重要。在很少停止移动的婴儿中准确获取此信息是一项持续存在的挑战。
我们提出一种基于智能手机的配准系统，该系统有可能立即对6个月大的婴儿进行全头3D扫描。
所提出的系统由定制设计的蓝牙控制器远程控制。扫描的图像可以手动或自动对齐以生成3D头部表面模型。
通过该系统可以在2秒内完成对6个月大婴儿的全头3D扫描。在一个逼真但静态的婴儿头部模型上进行测试时，使用该设备时光极位置的平均欧几里得误差为1.8毫米。
因此，这种低成本的3D配准系统有可能实现准确且近乎即时的fNIRS/DOT空间配准。
