Refereed article in conference proceedings (A4)

A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications




List of AuthorsMojtaba Jafari Tadi, Eero Lehtonen, Jarmp Teuho, Antti Saraste, Mikko Pänkäälä, Mika Teräs, Tero Koivisto

EditorsAlan Murray

Conference nameComputing in Cardiology

Publication year2016

JournalComputing in Cardiology

Book title *Computing in Cardiology 2016

Title of seriesComputing in Cardiology

Volume number43

Start page133

End page136

Number of pages4

eISBN978-1-5090-0895-7

ISSN2325-887X

DOIhttp://dx.doi.org/10.22489/CinC.2016.042-452

Self-archived copy’s web addresshttp://www.cinc.org/archives/2016/pdf/042-452.pdf


Abstract

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. 


Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Last updated on 2021-24-06 at 08:14