Abstract #5014

Motion-Resolved 4D Radial Ultrashort Echo Time (UTE) Lung MRI with Built-in Camera-Based Respiratory Motion Sensing

Can Wu¹, Guruprasad Krishnamoorthy², Ergys Subashi¹, Victoria Yu¹, and Ricardo Otazo^1,3

¹Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Philips Healthcare, MR R&D, Rochester, MN, United States, ³Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

Synopsis

Camera-based respiratory motion sensing (VitalEye) was successfully used to compute a respiratory signal for motion-resolved 4D radial ultrashort echo time (UTE) lung MRI. k-space data were sorted with respect the respiratory signal and binned into 10 different motion states to resolve respiratory motion. The respiratory signals from VitalEye were comparable to self-navigators. The 4D lung MRI reconstructions from both VitalEye and self-navigators were able to resolve respiratory motion and the signal intensity profiles along with the lung-liver interface and pulmonary vessels demonstrated that they both provided sharper image contrast compared to the motion-averaged images.

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