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Assessment of lesions in an image

An image-in-image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems that are error-prone and time-consuming

Inactive Publication Date: 2005-03-02
RETINALYZE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Not only is this very time consuming, but due to possible inconsistencies between how different clinicians evaluate a given image, even experienced clinicians who can spend minutes evaluating a single image are prone to error

Method used

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  • Assessment of lesions in an image
  • Assessment of lesions in an image
  • Assessment of lesions in an image

Examples

Experimental program
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Embodiment Construction

[0044] image

[0045] The images of the present invention can be any kind of images and representations of regions of interest. Fundus images are a traditional tool for examining the retina and may be recorded on any suitable tool. In one embodiment, the image is presented on a medium selected from transparent slides, paper medium photographs, or digital photographs. However, the image could be any other kind of representation, such as a representation on an array of elements, such as a CCD.

[0046] The image may be a gray-toned image or a color image; in a preferred embodiment, the image is a color image.

[0047] Subset

[0048] At least one subset is established in the image, where the subset is candidate lesion regions. The term subset is used in its usual sense, ie one or more pixels.

[0049] Subsets established by any suitable method may be detected, such as by filtering, by template matching, by establishing starting points and growing regions from said starting ...

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PUM

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Abstract

The present invention relates to a method for assessing the presence or absence of lesion(s) in an image and a system therefor, wherein said image may be any image potentially comprising lesions, in particular an image from medical image diagnostics, and more particularly an ocular fundus image. The lesions are identified from starting points being candidate lesion areas and validated with respect to their visibility as compared to the local surroundings.

Description

technical field [0001] The present invention relates to a method and system for assessing the presence or absence of damage in an image, wherein said image can be any image potentially including damage, especially from medical image diagnostic methods, and more particularly the fundus ( ocular fundus) image. Background technique [0002] Fundus image analysis presents several challenges such as high image variability, the need for reliable processing in the face of suboptimal imaging conditions and short computational deadlines. When lesions are present, high variability can be observed between different patients - even healthy ones - as the condition worsens. Variability can be observed for the same patient, under different imaging conditions, during treatment or simply over longer periods of time. Furthermore, fundus images are often characterized as having limited quality due to being subjected to improper lighting, flare, fade, misfocus, and artifacts caused by reflect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B3/14A61B5/00G06K9/00G06K9/62G06Q50/00G06T1/00
CPCG06T2207/30041G06T7/0012Y02A90/10
Inventor 约翰·D·汉森迈克尔·格伦金尼尔斯·V·哈特维格詹尼克·戈特珀·R·安德烈森埃比·索伦森索菲亚·B·史密斯
Owner RETINALYZE