Medical image based distortion correction mechanism

A mobile device for training a deep learning model to correcting an image blur in a medical ultrasound image, the mobile device comprising:

• a memory configured to store instructions associated with an image analysis application,
• a processor coupled to the display component, the camera component, and the memory,
• the processor executing the instructions associated with the image analysis application, wherein the analysis application includes:
• a neural network module configured to:
• receive a training input set of a plurality of training input medical images and a plurality of expected output medical images associated with the plurality of training input medical images;
• process the plurality of training input medical images with a deep learning model to correct image blur;
• generate a plurality of de-blurred training input medical images;
• and
• train the deep learning model based at least in part on an analysis of the plurality of de-blurred training input medical images and the plurality of expected output medical images.

A method of correcting an image blur in a medical ultrasound image, the method comprising:

• receiving, by a processor, a training input set of a plurality of training input medical images and a plurality of expected output medical images associated with the plurality of training input medical images;
• processing, by a processor, the plurality of training input medical images with a deep learning model to correct image blur;
• generating, by a processor, a plurality of de-blurred training input medical images;
• and
• training, by a processor, the deep learning model based at least in part on an analysis of the plurality of de-blurred training input medical images and the plurality of expected output medical images.