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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