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A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography

We present a novel method for estimating respiratory motion using inertial measurement units (IMUs) based on microelectromechanical systems (MEMS) technology. As an application of the method we consider the amplitude gating of positron emission tomography (PET) imaging, and compare the method agains...

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Autores principales: Lehtonen, Eero, Teuho, Jarmo, Koskinen, Juho, Jafari Tadi, Mojtaba, Klén, Riku, Siekkinen, Reetta, Rives Gambin, Joaquin, Vasankari, Tuija, Saraste, Antti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228885/
https://www.ncbi.nlm.nih.gov/pubmed/34207864
http://dx.doi.org/10.3390/s21123983
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author Lehtonen, Eero
Teuho, Jarmo
Koskinen, Juho
Jafari Tadi, Mojtaba
Klén, Riku
Siekkinen, Reetta
Rives Gambin, Joaquin
Vasankari, Tuija
Saraste, Antti
author_facet Lehtonen, Eero
Teuho, Jarmo
Koskinen, Juho
Jafari Tadi, Mojtaba
Klén, Riku
Siekkinen, Reetta
Rives Gambin, Joaquin
Vasankari, Tuija
Saraste, Antti
author_sort Lehtonen, Eero
collection PubMed
description We present a novel method for estimating respiratory motion using inertial measurement units (IMUs) based on microelectromechanical systems (MEMS) technology. As an application of the method we consider the amplitude gating of positron emission tomography (PET) imaging, and compare the method against a clinically used respiration motion estimation technique. The presented method can be used to detect respiratory cycles and estimate their lengths with state-of-the-art accuracy when compared to other IMU-based methods, and is the first based on commercial MEMS devices, which can estimate quantitatively both the magnitude and the phase of respiratory motion from the abdomen and chest regions. For the considered test group consisting of eight subjects with acute myocardial infarction, our method achieved the absolute breathing rate error per minute of 0.44 ± 0.23 1/min, and the absolute amplitude error of 0.24 ± 0.09 cm, when compared to the clinically used respiratory motion estimation technique. The presented method could be used to simplify the logistics related to respiratory motion estimation in PET imaging studies, and also to enable multi-position motion measurements for advanced organ motion estimation.
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spelling pubmed-82288852021-06-26 A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography Lehtonen, Eero Teuho, Jarmo Koskinen, Juho Jafari Tadi, Mojtaba Klén, Riku Siekkinen, Reetta Rives Gambin, Joaquin Vasankari, Tuija Saraste, Antti Sensors (Basel) Article We present a novel method for estimating respiratory motion using inertial measurement units (IMUs) based on microelectromechanical systems (MEMS) technology. As an application of the method we consider the amplitude gating of positron emission tomography (PET) imaging, and compare the method against a clinically used respiration motion estimation technique. The presented method can be used to detect respiratory cycles and estimate their lengths with state-of-the-art accuracy when compared to other IMU-based methods, and is the first based on commercial MEMS devices, which can estimate quantitatively both the magnitude and the phase of respiratory motion from the abdomen and chest regions. For the considered test group consisting of eight subjects with acute myocardial infarction, our method achieved the absolute breathing rate error per minute of 0.44 ± 0.23 1/min, and the absolute amplitude error of 0.24 ± 0.09 cm, when compared to the clinically used respiratory motion estimation technique. The presented method could be used to simplify the logistics related to respiratory motion estimation in PET imaging studies, and also to enable multi-position motion measurements for advanced organ motion estimation. MDPI 2021-06-09 /pmc/articles/PMC8228885/ /pubmed/34207864 http://dx.doi.org/10.3390/s21123983 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lehtonen, Eero
Teuho, Jarmo
Koskinen, Juho
Jafari Tadi, Mojtaba
Klén, Riku
Siekkinen, Reetta
Rives Gambin, Joaquin
Vasankari, Tuija
Saraste, Antti
A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title_full A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title_fullStr A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title_full_unstemmed A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title_short A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography
title_sort respiratory motion estimation method based on inertial measurement units for gated positron emission tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228885/
https://www.ncbi.nlm.nih.gov/pubmed/34207864
http://dx.doi.org/10.3390/s21123983
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