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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.

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