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Analysis of contrast-enhanced dynamic MR images of the lung

✍ Scribed by Geir Torheim; Tore Amundsen; Peter A. Rinck; Olav Haraldseth; Giovanni Sebastiani

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
400 KB
Volume
13
Category
Article
ISSN
1053-1807

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✦ Synopsis

Abstract

Recent studies have demonstrated the potential of dynamic contrast‐enhanced magnetic resonance imaging (MRI) describing pulmonary perfusion. However, breathing motion, susceptibility artifacts, and a low signal‐to‐noise ratio (SNR) make automatic pixel‐by‐pixel analysis difficult. In the present work, we propose a novel method to compensate for breathing motion. In order to test the feasibility of this method, we enrolled 53 patients with pulmonary embolism (N = 24), chronic obstructive pulmonary disease (COPD) (N = 14), and acute pneumonia (N = 15). A crucial part of the method, an automatic diaphragm detection algorithm, was evaluated in all 53 patients by two independent observers. The accuracy of the method to detect the diaphragm showed a success rate of 92%. Furthermore, a Bayesian noise reduction technique was implemented and tested. This technique significantly reduced the noise level without removing important clinical information. In conclusion, the combination of a motion correction method and a Bayesian noise reduction method offered a rapid, semiautomatic pixel‐by‐pixel analysis of the lungs with great potential for research and clinical use. J. Magn. Reson. Imaging 2001;13:577–587. © 2001 Wiley‐Liss, Inc.

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