Title |
MRI of the lung (1/3): methods
|
---|---|
Published in |
Insights into Imaging, June 2012
|
DOI | 10.1007/s13244-012-0176-x |
Pubmed ID | |
Authors |
J. M. Wild, H. Marshall, M. Bock, L. R. Schad, P. M. Jakob, M. Puderbach, F. Molinari, E. J. R. Van Beek, J. Biederer |
Abstract |
Proton magnetic resonance imaging (MRI) has recently emerged as a clinical tool to image the lungs. This paper outlines the current technical aspects of MRI pulse sequences, radiofrequency (RF) coils and MRI system requirements needed for imaging the pulmonary parenchyma and vasculature. Lung MRI techniques are presented as a "technical toolkit", from which MR protocols will be composed in the subsequent papers for comprehensive imaging of lung disease and function (parts 2 and 3). This paper is pitched at MR scientists, technicians and radiologists who are interested in understanding and establishing lung MRI methods. Images from a 1.5 T scanner are used for illustration of the sequences and methods that are highlighted. Main Messages • Outline of the hardware and pulse sequence requirements for proton lung MRI • Overview of pulse sequences for lung parenchyma, vascular and functional imaging with protons • Demonstration of the pulse-sequence building blocks for clinical lung MRI protocols. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 33% |
Austria | 1 | 33% |
Hungary | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 3 | 1% |
Spain | 2 | <1% |
Germany | 1 | <1% |
Brazil | 1 | <1% |
Turkey | 1 | <1% |
Mexico | 1 | <1% |
United States | 1 | <1% |
Unknown | 246 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 19% |
Student > Ph. D. Student | 43 | 17% |
Student > Master | 36 | 14% |
Student > Postgraduate | 22 | 9% |
Student > Bachelor | 19 | 7% |
Other | 43 | 17% |
Unknown | 44 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 78 | 30% |
Engineering | 46 | 18% |
Physics and Astronomy | 27 | 11% |
Biochemistry, Genetics and Molecular Biology | 12 | 5% |
Computer Science | 12 | 5% |
Other | 28 | 11% |
Unknown | 53 | 21% |