Hi Jon, your talk about deep learning algorithms was interesting this is something I would like to learn more about. Did you apply your experimental models to the k space domain by regressing the images back into the data domain or were you able to use the raw data. I am concern with the pixelated under sampling (discussed at time point~5 min and 40s) is this is not something we could reproduce clinically. We can only fill k space linearly, concentrically or radially. The parallel undersampling is something we could mimic as we can opt to reduce k space filling in the phase encoding direction. I look forward to your response Kind regards Darren
Thank you for the talk. It was super interesting.
Cheers!
Hi Jon,
your talk about deep learning algorithms was interesting this is something I would like to learn more about.
Did you apply your experimental models to the k space domain by regressing the images back into the data domain or were you able to use the raw data.
I am concern with the pixelated under sampling (discussed at time point~5 min and 40s) is this is not something we could reproduce clinically. We can only fill k space linearly, concentrically or radially. The parallel undersampling is something we could mimic as we can opt to reduce k space filling in the phase encoding direction.
I look forward to your response
Kind regards
Darren