A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications

dc.contributor.authorMojtaba Jafari Tadi
dc.contributor.authorEero Lehtonen
dc.contributor.authorJarmp Teuho
dc.contributor.authorAntti Saraste
dc.contributor.authorMikko Pänkäälä
dc.contributor.authorMika Teräs
dc.contributor.authorTero Koivisto
dc.contributor.organizationfi=PET-keskus|en=Turku PET Centre|
dc.contributor.organizationfi=Technology Research Center TRC|en=Technology Research Center TRC|
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=kieli- ja puheteknologia|en=Language and Speech Technology|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.14646305228
dc.contributor.organization-code1.2.246.10.2458963.20.47465613983
dc.contributor.organization-code1.2.246.10.2458963.20.58905910210
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id18388195
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/18388195
dc.date.accessioned2025-08-28T00:36:28Z
dc.date.available2025-08-28T00:36:28Z
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.pagerange133
dc.format.pagerange136
dc.identifier.eisbn978-1-5090-0895-7
dc.identifier.issn2325-887X
dc.identifier.jour-issn2325-8861
dc.identifier.olddbid206033
dc.identifier.oldhandle10024/189060
dc.identifier.urihttps://www.utupub.fi/handle/11111/40592
dc.identifier.urnURN:NBN:fi-fe2021042716309
dc.language.isoen
dc.okm.affiliatedauthorJafari Tadi, Mojtaba
dc.okm.affiliatedauthorLehtonen, Eero
dc.okm.affiliatedauthorTeuho, Jarmo
dc.okm.affiliatedauthorSaraste, Antti
dc.okm.affiliatedauthorPänkäälä, Mikko
dc.okm.affiliatedauthorTeräs, Mika
dc.okm.affiliatedauthorKoivisto, Tero
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.conferenceComputing in Cardiology
dc.relation.doi10.22489/CinC.2016.042-452
dc.relation.ispartofjournalComputing in Cardiology
dc.relation.ispartofseriesComputing in Cardiology
dc.relation.volume43
dc.source.identifierhttps://www.utupub.fi/handle/10024/189060
dc.titleA Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications
dc.title.bookComputing in Cardiology 2016
dc.year.issued2016

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
042-452.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Description:
Attribution 2.5 Generic (CC BY 2.5)