Abstract #3684
Free-breathing, self-navigated RUFIS lung imaging with motion compensated image reconstruction
Anne Menini 1 , Vladimir Golkov 1,2 , and Florian Wiesinger 1
1
DIBT, GE Global Research, Garching b.
Mnchen, Germany,
2
Department
of Computer Science, Technical University Munich,
Garching b. Mnchen, Germany
In lung imaging, high-resolution 3D imaging is highly
desirable but requires motion management. Previous
studies have proposed prospective gating solutions but
suffer from low scan efficiency. Here, based on the 3D
radial zero-TE RUFIS sequence, we propose a new sampling
pattern associated with a motion compensated
reconstruction to take advantage of the whole scan time.
Compared to more classical motion management methods,
the proposed method shows better sharpness, bronchial
tube depiction and SNR. The proposed method presents
potential benefits for PET/MR since it provides
high-resolution anatomical imaging, renders the lung
density, and extracts a custom motion model within
1min45s of free-breathing acquisition.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
