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Abstract #3538

Empirically-Trained Image Contrast Synthesis for Intravascular MRI Endoscopy

Xiaoyang Liu1,2 and Paul Bottomley1,2
1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States, 2MR Research Division, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States

Parameterized image synthesis is desirable for region-specific image contrast and protocol optimization. While this could arguably be performed with quantitative mapping and Bloch equation simulations, it is not well-suited for real-time cine MRI or MRI endoscopy in a real-time interventional application with views changing from frame-to-frame. Here we propose to use empirical data to calibrate signal behavior patterns from a specific MRI endoscopic device and pulse sequences to fit new acquisitions from which extra images and ultimately guide automated local contrast optimization.

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