Calibration and Evaluation of a Motion Measurement System for PET Imaging Studies

Author:

Wang Junxiang1ORCID,Wu Ti2,Iordachita Iulian1,Kazanzides Peter2

Affiliation:

1. Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

2. Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA

Abstract

Positron Emission Tomography (PET) enables functional imaging of deep brain structures, but the bulk and weight of current systems preclude their use during many natural human activities, such as locomotion. The proposed long-term solution is to construct a robotic system that can support an imaging system surrounding the subject’s head, and then move the system to accommodate natural motion. This requires a system to measure the motion of the head with respect to the imaging ring, for use by both the robotic system and the image reconstruction software. We report here the design, calibration, and experimental evaluation of a parallel string encoder mechanism for sensing this motion. Our results indicate that with kinematic calibration, the measurement system can achieve accuracy within 0.5[Formula: see text]mm, especially for small motions.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Method for Robotic Motion Compensation During PET Imaging of Mobile Subjects;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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