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采用 3D 扫描仪的光动力疗法治疗设备的辐照度均匀性优化。

Irradiance uniformity optimization for a photodynamic therapy treatment device with 3D scanner.

机构信息

Ministry of Industry and Information Technology, Beijing Institute of Technology, School of Life Sci, China.

出版信息

J Biomed Opt. 2021 Jul;26(7). doi: 10.1117/1.JBO.26.7.078001.

Abstract

SIGNIFICANCE

The light dose in photodynamic therapy (PDT) has a considerable influence on its treatment effect, and irradiance uniformity is an issue of much concern for researchers. However, achieving intelligent and personalized dosimetry adjustments remains a challenge for current PDT instruments.

AIM

To meet the requirements of intelligent and personalized dosimetry adjustments for the light dose on an irregular surface, a new PDT device with its optimal control method is proposed.

APPROACH

This research introduces a new PDT device that includes a 3D scanner, a light-emitting diode (LED) array, and a computer. The 3D scanner is proposed to generate the point cloud of the lesion and the LED array light source, and obtain the relative position and rotation parameters between them. Then, an image segmentation algorithm is used to segment the lesion point cloud into several cluster regions. Last, the current of each LED unit is adjusted separately to achieve the expected irradiance on each cluster.

RESULTS

Compared with the general light source, the optimized light source increases the effective irradiance area by 9% to 15% and improves its uniformity by ∼9  %   on a human port-wine stain head model.

CONCLUSIONS

The device and its optimal method may be used for optimizing the light dosimetry to realize intelligent and personalized treatment.

摘要

意义

光剂量在光动力疗法(PDT)中具有重要影响,辐照度均匀性是研究人员关注的问题。然而,实现智能和个性化的剂量调整仍然是当前 PDT 仪器面临的挑战。

目的

为满足不规则表面光剂量的智能和个性化剂量调整要求,提出了一种新的 PDT 设备及其优化控制方法。

方法

本研究介绍了一种新的 PDT 设备,包括 3D 扫描仪、发光二极管(LED)阵列和计算机。3D 扫描仪用于生成病变的点云和 LED 阵列光源,并获取它们之间的相对位置和旋转参数。然后,使用图像分割算法将病变点云分割成几个聚类区域。最后,单独调整每个 LED 单元的电流,以在每个聚类上实现预期的辐照度。

结果

与普通光源相比,优化光源将有效辐照面积增加了 9%至 15%,并将其均匀性提高了约 9%。

结论

该设备及其优化方法可用于优化光剂量,实现智能和个性化治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e6/8280363/490380b89585/JBO-026-078001-g001.jpg

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