Correcting image blur in medical image
AssigneeRutgers, The State University of New Jersey
InventorsChristine I. Podilchuk, Richard Mammone
Life of this patent
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Abstract
A device to correct an image blur within a medical image is described. An image analysis application executed by the device receives the medical image from a medical image provider. Next, the image blur is detected within the medical image by analyzing the medical image. The medical image is subsequently processed with a deep learning model to correct the image blur. In response to the processing, a de-blurred medical image is generated. The de-blurred medical image is provided for a presentation or a continued analysis.
Claims19
A device to train a deep learning model to correct an image blur in a medical image, wherein the device is 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 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.
Dependencies are inferred from the claim text.