A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating

Dual cardiac and respiratory gating is a well-known technique for motion compensation in nuclear medicine imaging. In this study, we present a new data fusion framework for dual cardiac and respiratory gating based on multidimensional microelectromechanical (MEMS) motion sensors. Our approach aims a...

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Bibliografiske detaljer

Principais autores:	Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2019-09-01
Serier:	Sensors
Fag:	data fusion dual gating MEMS accelerometer and gyroscope cardiac PET
Online adgang:	https://www.mdpi.com/1424-8220/19/19/4137
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