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Abstract #1455

A double echo ultra short echo time acquisition for respiratory motion suppressed high resolution imaging of the lung

Jean Delacoste 1,2 , Jerome Chaptinel 1,2 , Catherine Beigelman 1 , Davide Piccini 3,4 , Alain Sauty 5,6 , and Matthias Stuber 1,2

1 Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2 Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3 Department of Radiology, Center for Biomedical Imaging (CIBM) and University Hospital (CHUV), Lausanne, Switzerland, 4 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 5 Adult CF multisites unit, Hospital of Morges, Morges, Switzerland, 6 Service of Pneumology, Department of Medicine, University Hospital (CHUV), Lausanne, Switzerland

Lung imaging presents several challenges such as blurring due to motion and short T2*. In this work, a novel method for free breathing lung imaging using an ultra short echo time sequence is demonstrated. The method uses an automated segmentation of a superior-inferior projection for respiratory motion extraction. The respiratory signal is then used to retrospectively gate the acquired data. This method was tested in 6 volunteers and lung vessel sharpness as well as blood signal to noise ratio were measured as quantitative endpoints. Motion blurring was significantly reduced in the motion-suppressed images.

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