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.
This abstract and the presentation materials are available to members only; a login is required.