A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications
Tekijät: Mojtaba Jafari Tadi, Eero Lehtonen, Jarmp Teuho, Antti Saraste, Mikko Pänkäälä, Mika Teräs, Tero Koivisto
Toimittaja: Alan Murray
Konferenssin vakiintunut nimi: Computing in Cardiology
Julkaisuvuosi: 2016
Journal: Computing in Cardiology
Kokoomateoksen nimi: Computing in Cardiology 2016
Sarjan nimi: Computing in Cardiology
Vuosikerta: 43
Aloitussivu: 133
Lopetussivu: 136
Sivujen määrä: 4
eISBN: 978-1-5090-0895-7
ISSN: 2325-887X
DOI: https://doi.org/10.22489/CinC.2016.042-452
Rinnakkaistallenteen osoite: http://www.cinc.org/archives/2016/pdf/042-452.pdf
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
