DocumentCode
1289140
Title
Acquisition Times in Magnetic Resonance Imaging: Optimization in Clinical Use
Author
Andria, Gregorio ; Attivissimo, Filippo ; Cavone, Giuseppe ; Lanzolla, Anna Maria Lucia
Author_Institution
Dept. of Electrics & Electron., Polytech. Univ. of Bari, Bari, Italy
Volume
58
Issue
9
fYear
2009
Firstpage
3140
Lastpage
3148
Abstract
Nuclear magnetic resonance imaging is a routine clinical system used for whole-body patient scanning that provides 3D images. Recent technological innovations have encouraged the use of this technology for noninvasive coronary, heart, and chest investigation or for research applications, but the image quality of this technique depends on several factors. Some parameters are linked to the apparatus designed to acquire the magnetic resonance image, whereas others can be controlled by the user. In this paper, the authors analyze the software-controlled magnetic-resonance-imaging parameters to reduce the health examination acquisition time by assuring a good quality of the images. This objective is of fundamental importance to both increase the number of clinical tests produced with this equipment and to reduce the radiation doses in the patients. For this purpose, the parameters that influence the time acquisition and the signal-to-noise ratio were investigated, and a software platform for optimizing the imaging acquisition time was developed.
Keywords
biomedical MRI; biomedical equipment; medical computing; optimisation; biomedical equipment; clinical system; health examination acquisition time; image quality; magnetic resonance imaging; optimization; signal-to-noise ratio; software-controlled magnetic-resonance-imaging parameter; whole-body patient scanning; Biological tissues; biomedical signal analysis; image segmentation; magnetic resonance imaging (MRI); optimization methods; simulation; time-optimal control;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2009.2016888
Filename
5196790
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