A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications
| dc.contributor.author | Mojtaba Jafari Tadi | |
| dc.contributor.author | Eero Lehtonen | |
| dc.contributor.author | Jarmp Teuho | |
| dc.contributor.author | Antti Saraste | |
| dc.contributor.author | Mikko Pänkäälä | |
| dc.contributor.author | Mika Teräs | |
| dc.contributor.author | Tero Koivisto | |
| dc.contributor.organization | fi=PET-keskus|en=Turku PET Centre| | |
| dc.contributor.organization | fi=Technology Research Center TRC|en=Technology Research Center TRC| | |
| dc.contributor.organization | fi=biolääketieteen laitos|en=Institute of Biomedicine| | |
| dc.contributor.organization | fi=kieli- ja puheteknologia|en=Language and Speech Technology| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.14646305228 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.47465613983 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.58905910210 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.77952289591 | |
| dc.converis.publication-id | 18388195 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/18388195 | |
| dc.date.accessioned | 2025-08-28T00:36:28Z | |
| dc.date.available | 2025-08-28T00:36:28Z | |
| dc.description.abstract | <p>Cardiac, respiratory, and patient body motion artifacts degrade the image quality and quantitative accuracy of the nuclear medicine imaging which may lead to incorrect diagnosis, unnecessary treatment and insufficient therapy. We present a new miniaturized system including joint micro electromechanical (MEMS) accelerometer and gyroscope sensors for simultaneous extraction of cardiac and respiratory signals. We employ two tri-axial joint MEMS sensors for selecting an optimal trigger point in a cardiac and respiratory cycle. The 6-axis motion sensing helps to detect candidate features for cardiac and respiratory gating in Positron emission tomography (PET) imaging. The aim of this study was to validate MEMS-derived signals against traditional Real-time Position Management (RPM) and electrocardiography (ECG) measurement systems in 4 healthy volunteers. High agreement and correlation were found between cardiac and respiratory cycle intervals. These promising first results warrant for further investigations. <br /></p> | |
| dc.format.pagerange | 133 | |
| dc.format.pagerange | 136 | |
| dc.identifier.eisbn | 978-1-5090-0895-7 | |
| dc.identifier.issn | 2325-887X | |
| dc.identifier.jour-issn | 2325-8861 | |
| dc.identifier.olddbid | 206033 | |
| dc.identifier.oldhandle | 10024/189060 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/40592 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042716309 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Jafari Tadi, Mojtaba | |
| dc.okm.affiliatedauthor | Lehtonen, Eero | |
| dc.okm.affiliatedauthor | Teuho, Jarmo | |
| dc.okm.affiliatedauthor | Saraste, Antti | |
| dc.okm.affiliatedauthor | Pänkäälä, Mikko | |
| dc.okm.affiliatedauthor | Teräs, Mika | |
| dc.okm.affiliatedauthor | Koivisto, Tero | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.discipline | 217 Medical engineering | en_GB |
| dc.okm.discipline | 217 Lääketieteen tekniikka | fi_FI |
| dc.okm.internationalcopublication | not an international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A4 Conference Article | |
| dc.publisher.country | United States | en_GB |
| dc.publisher.country | Yhdysvallat (USA) | fi_FI |
| dc.publisher.country-code | US | |
| dc.relation.conference | Computing in Cardiology | |
| dc.relation.doi | 10.22489/CinC.2016.042-452 | |
| dc.relation.ispartofjournal | Computing in Cardiology | |
| dc.relation.ispartofseries | Computing in Cardiology | |
| dc.relation.volume | 43 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/189060 | |
| dc.title | A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications | |
| dc.title.book | Computing in Cardiology 2016 | |
| dc.year.issued | 2016 |
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