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In vivo MRI with Concurrent Excitation and Acquisition using Automated Active Analog Cancellation

Özen, Ali Caglar; Atalar, Ergin; Korvink, Jan G. 1; Bock, Michael
1 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract:

Magnetic resonance imaging (MRI) provides excellent cross-sectional images of the soft tissues in patients. Unfortunately, MRI is intrinsically slow, it exposes patients to severe acoustic noise levels, and is limited in the visualization of certain tissues such as bone. These limitations are partly caused by the timing structure of the MRI exam which first generates the MR signal by a strong radio-frequency excitation and later acquires the weak MRI signal. Concurrent excitation and acquisition (CEA) can overcome these limitations, but is extremely challenging due to the huge intensity difference between transmit and receive signal (up to 100 dB). To suppress the strong transmit signals during signal reception, a fully automated analog cancellation unit was designed. On a 3 Tesla clinical MRI system we achieved an on-resonance analog isolation of 90 dB between the transmit and receive path, so that CEA images of the head and the extremities could be acquired with an acquisition efficiency of higher than 90% at sound pressure levels close to background noise. CEA with analog cancellation might provide new opportunities for MRI in tissues with very short T2 relaxation times, and it offers a silent and time-efficient MRI acquisition.


Verlagsausgabe §
DOI: 10.5445/IR/1000084616
Originalveröffentlichung
DOI: 10.1038/s41598-018-28894-w
Scopus
Zitationen: 14
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2018
Sprache Englisch
Identifikator ISSN: 2045-2322
urn:nbn:de:swb:90-846162
KITopen-ID: 1000084616
HGF-Programm 43.22.01 (POF III, LK 01) Functionality by Design
Erschienen in Scientific reports
Verlag Nature Research
Band 8
Heft 1
Seiten Article number 10631
Vorab online veröffentlicht am 13.07.2018
Nachgewiesen in Scopus
Dimensions
Web of Science
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