Riverain Medical Group, LLC

Ge Medical Systems Global Technology Company, LLC

Deus Technologies LLC

Edward A Martello

Jyh-Shyan Lin

Xin-Wei Xu

Ruiping Li

Hui Zhao

Fleming Y-m Lure

Tong Wei

Stephen Wayne Metz

Carson Hale Thomas

Fleming Lure

Fleming Y M Lure

Rujirutana Srikanchana

Li-Yueh Hsu

Rujirutana Sriikanchana

H-y Michael Yeh

Computer-aided diagnosis techniques may be combined with techniques to obtain derived images from radiographic images to provide enhanced computer-aided diagnosis of, for example, lung nodules.

Computer aided diagnosis using derived images

A method is disclosed, in a diagnostic medical environment, that enhances workflow while using a computer-aided-detection (or diagnosis) (CAD) system in the environment. The method comprises generating image data with a diagnostic medical imaging acquisition system. The image data is transmitted from the diagnostic medical imaging acquisition system to a computer-aided-detection (or diagnosis) (CAD) system and an archive/review station. Detection results are generated by processing the image data, using the CAD system, while storing and viewing the image data on the archive/review station. The detection results are transmitted from the CAD system to the archive/review station. The detection results are integrated with the image data by the archive/review station to form composite image data. The composite image data is displayed by the archive/review system.

Workflow for computer aided detection

Computer-aided diagnosis techniques may be combined with dual-energy radiography techniques to provide enhanced computer-aided diagnosis of, for example, lung nodules.

Computer aided diagnosis using dual energy subtraction images

A method of detecting and analyzing abnormalities, like lung nodules, in thoracic computer tomography (CT) images uses digital image processing techniques and adaptive computing methods. The techniques include an automatic detection process to detect candidate abnormalities, an image matching process to match CT slices from two different CT scans, and a measurement process that determines parameters of the candidate abnormalities. Final results and processed CT images are displayed on a user interface.

Computer-aided diagnosis system for thoracic computer tomography images

Growing community of inventors

Glenwood, MD, United States of America

Edward A Martello