US 12,262,981 B1
Virtual microwave phantom generation
Wenyi Shao, Laurel, MD (US); and Todd McCollough, Barrington, IL (US)
Filed by Wenyi Shao, Laurel, MD (US); and Todd McCollough, Barrington, IL (US)
Filed on May 21, 2021, as Appl. No. 17/327,450.
Claims priority of provisional application 63/036,291, filed on Jun. 8, 2020.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0507 (2021.01); A61B 5/055 (2006.01)
CPC A61B 5/0507 (2013.01) [A61B 5/055 (2013.01); A61B 5/4312 (2013.01); A61B 5/7267 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for generating virtual microwave (MW) phantoms at a specific MW frequency, comprising:
generating virtual MW phantoms using a generative neural network (generator);
identifying the authenticity of the virtual MW phantoms using a discriminative neural network (discriminator);
wherein the generator is configured to generate virtual permittivity images or conductivity images at the specific MW frequency;
wherein the discriminator is configured to evaluate input permittivity images or conductivity images at the specific MW frequency;
selecting reconstructed MRI images from a searchable database of a plurality of reconstructed MRI images based on patient characteristics; and
converting the selected reconstructed MRI images to the input permittivity images or conductivity images at the specific MW frequency.