Abstract #3348

MR compatible 4D Ultrasound based validation of respiratory motion compensation strategies

Zachary Miller¹, James Holmes¹, Sydney Jupitz¹, Ty Cashen², Frank Ong³, Michael Lustig⁴, Peder Larson⁵, Bryan Bednarz⁶, and Kevin Johnson¹

¹Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ²GE Healthcare, University of Wisconsin-Madison, Madison, WI, United States, ³Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Department of Electrical Engineering, University of California-Berkely, Berkeley, CA, United States, ⁵Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ⁶Department of Engineering Physics, University of Wisconsin-Madison, Madison, WI, United States

Imaging during respiratory and cardiac motion remains a major challenge for body and cardiac MR. A number of motion correction approaches have been proposed to address this challenge including use of external gating signals, navigator acquisitions, and motion estimation from the image data itself. However, the accuracy of these motion estimation techniques has not been validated in-vivo. In this work, we use a recently developed MR compatible 4D ultrasound probe combined with feature tracking to evaluate the performance of MR based navigation algorithms in the setting of free-breathing 3D pulmonary imaging.

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