@inproceedings{952519d67e904b00a5ef326b2e11a87d,
title = "Development of a Robust Head Tracking System Through Virtual and Physical Optimization",
abstract = "Reconstructed image quality can be degraded by patient head motion and requires precise motion measurement and compensation during reconstruction. Head motion can be estimated using optical motion tracking systems (MTS). Unfortunately, optimizing motion tracking system performance can be a challenging task, due to limited repeatability and susceptibility to a variety of confounding errors. Herein, we present preliminary results of a novel MTS in which the head tracking system is optimized through both physical and virtual (simulated) configuration and experimentation with the goal of making a more robust physical MTS. The virtual system will help identify optimal operating conditions such as phantom placement, robot generated motion paths, provides a reliable estimate of the recorded head motion, and alleviate sources of confounding errors. The physical system can then be used to measure quantify the measured motion in a controlled environment and investigate further improvements.",
keywords = "Brain Imaging, Motion Tracking, MPH, SPECT",
author = "Kalluri, {Kesava S.} and Clifford Lindsay and Richards, {R. Garrett} and Micaehla May and Benjamin Auer and Kuo, {Phillip H} and Furenlid, {Lars R.} and King, {Michael A.}",
note = "Funding Information: Submitted: Dec 15, 2021. Research reported in this publication was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under Award Number R01 EB022521. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 ; Conference date: 16-10-2021 Through 23-10-2021",
year = "2021",
doi = "10.1109/NSS/MIC44867.2021.9875644",
language = "English (US)",
series = "2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Hideki Tomita and Tatsuya Nakamura",
booktitle = "2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022",
}