Abstract #0364

Detecting bladder and pelvic floor motion during MRI using a small ultrasound-based sensor

Radhika Tibrewala¹, Mahesh Keerthivasan^1,2, Mary Bruno³, Christopher Collins¹, Bruno Madore⁴, and Daniel K Sodickson¹

¹Center for Advanced Imaging Innovation and Research, NYU Grossman School of Medicine, New York, NY, United States, ²Siemens Medical Solutions USA, New York, NY, United States, ³NYU Grossman School of Medicine, New York, NY, United States, ⁴Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Motion Correction, Hybrid & Novel Systems TechnologyDeep-seated motion due to digestion and bladder filling can be difficult to monitor during MR acquisition. In this study, we use a small ultrasound-based sensor to detect bladder and pelvic floor motion, with a real-time MRI acquisition and a pilot-tone motion-sensitive signal as a reference. A neural network is used to predict the bladder area at various times during the MRI scan by using the US signal features. Our results indicate that the correlations between the ultrasound sensor and the MRI are beneficial for detecting bladder motion over time.

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