Invention Grant
- Patent Title: Generating enhanced x-ray images using constituent image
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Application No.: US17122709Application Date: 2020-12-15
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Publication No.: US11657501B2Publication Date: 2023-05-23
- Inventor: Vikram Melapudi , Bipul Das , Krishna Seetharam Shriram , Prasad Sudhakar , Rakesh Mullick , Sohan Rashmi Ranjan , Utkarsh Agarwal
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Milwaukee
- Assignee: GE PRECISION HEALTHCARE LLC
- Current Assignee: GE PRECISION HEALTHCARE LLC
- Current Assignee Address: US WI Wauwatosa
- Agency: Amin, Turocy & Watson, LLP
- Priority: IN 2041041437 2020.09.24
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T5/00 ; G06T7/10 ; G06T11/00 ; A61B6/00

Abstract:
Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.
Public/Granted literature
- US20220092768A1 GENERATING ENHANCED X-RAY IMAGES Public/Granted day:2022-03-24
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