Feasibility evaluation of radiotherapy positioning system guided by augmented reality and point cloud registration

Author:

Zhai Shaozhuang12,Wei Ziwen2ORCID,Wu Xiaolong2,Xing Ligang3,Yu Jinming3,Qian Junchao123

Affiliation:

1. School of Basic Medical Sciences Anhui Medical University Hefei P.R. China

2. Anhui Province Key Laboratory of Medical Physics and Technology Institute of Health and Medical Technology Hefei Institutes of Physical Science Hefei Cancer Hospital, Chinese Academy of Sciences Hefei P.R. China

3. Department of Radiation Oncology, School of Medicine, Shandong University Shandong Cancer Hospital and Institute Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China

Abstract

AbstractPurposeTo develop a radiotherapy positioning system based on Point Cloud Registration (PCR) and Augmented Reality (AR), and to verify its feasibility.MethodsThe optimal steps of PCR were investigated, and virtual positioning experiments were designed to evaluate its accuracy and speed. AR was implemented by Unity 3D and Vuforia for initial position correction, and PCR for precision registration, to achieve the proposed radiotherapy positioning system. Feasibility of the proposed system was evaluated through phantom positioning tests as well as real human positioning tests. Real human tests involved breath‐holding positioning and free‐breathing positioning tests. Evaluation metrics included 6 Degree of Freedom (DOF) deviations and Distance (D) errors. Additionally, the interaction between CBCT and the proposed system was envisaged through CBCT and optical cross‐source PCR.ResultsPoint‐to‐plane iterative Closest Point (ICP), statistical filtering, uniform down‐sampling, and optimal sampling ratio were determined for PCR procedure. In virtual positioning tests, a single registration took only 0.111 s, and the average D error for 15 patients was 0.015 ± 0.029 mm., Errors of phantom tests were at the sub‐millimeter level, with an average D error of 0.6 ± 0.2 mm. In the real human positioning tests, the average accuracy of breath‐holding positioning was still at the sub‐millimeter level, where the errors of X, Y and Z axes were 0.59 ± 0.12 mm, 0.54 ± 0.12 mm, and 0.52 ± 0.09 mm, and the average D error was 0.96 ± 0.22 mm. In the free‐breathing positioning, the average errors in X, Y, and Z axes were still less than 1 mm. Although the mean D error was 1.93 ± 0.36 mm, it still falls within a clinically acceptable error margin.ConclusionThe AR and PCR‐guided radiotherapy positioning system enables markerless, radiation‐free and high‐accuracy positioning, which is feasible in real‐world scenarios.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

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