Systems and methods for visualizing and characterizing objects in images
The convergence-based method improves object visualization and characterization in medical imaging by applying local micro-contrast algorithms, reducing error rates and enhancing the visibility of abnormalities.
JP7765344B2Active Publication Date: 2025-11-06IMAGO SYSTEMS INC
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Patent Information
- Application Number
- JP2022071438
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2016-02-08
- Filing Date
- 2022-04-25
- Publication Date
- 2025-11-06
- Estimated Expiration
- 2037-02-08
AI Technical Summary
Technical Problem
Existing image processing methods struggle to effectively visualize and characterize objects, particularly in medical imaging, leading to high false positive and false negative error rates in detecting abnormalities such as cancers and cysts.
Method used
A convergence-based method that applies local micro-contrast convergence algorithms to replicate and transform image channels, using lookup tables to generate distinct images, and combines these to enhance object visualization and characterization, reducing error rates.
Benefits of technology
The method significantly reduces false positive and false negative error rates in medical imaging, enhancing the visibility of abnormalities like cancers and cysts, particularly in breast tissue.
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Abstract
Convergence-based systems and methods for visualizing and characterizing objects in images. [Solution] A method for visualizing, characterizing, and detecting objects in an image by applying a local micro-contrast convergence algorithm to a first image to generate a second image that is different from the first image, wherein all similar objects converge to a similar pattern or color in the second image.
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