Image modification and detection using massive training artificial neural networks (MTANN)

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 7545965
APP PUB NO 20050100208A1
SERIAL NO

10703617

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

A method, system, and computer program product for modifying an appearance of an anatomical structure in a medical image, e.g., rib suppression in a chest radiograph. The method includes: acquiring, using a first imaging modality, a first medical image that includes the anatomical structure; applying the first medical image to a trained image processing device to obtain a second medical image, corresponding to the first medical image, in which the appearance of the anatomical structure is modified; and outputting the second medical image. Further, the image processing device is trained using plural teacher images obtained from a second imaging modality that is different from the first imaging modality. In one embodiment, the method also includes processing the first medical image to obtain plural processed images, wherein each of the plural processed images has a corresponding image resolution; applying the plural processed images to respective multi-training artificial neural networks (MTANNs) to obtain plural output images, wherein each MTANN is trained to detect the anatomical structure at one of the corresponding image resolutions; and combining the plural output images to obtain a second medical image in which the appearance of the anatomical structure is enhanced.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
UNIVERSITY OF CHICAGO THE5801 SOTH ELLIS AVENUE CHICAGO IL 60637

International Classification(s)

  • [Classification Symbol]
  • [Patents Count]

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Doi, Kunio Willowbrook , US 66 4962
Suzuki, Kenji Clarendon Hills , US 1029 11556

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation