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Identification and analysis of lesions in medical imaging

A lesion and pixel technology, applied in image analysis, medical science, character and pattern recognition, etc., can solve the problems of providing and ineffective users

Active Publication Date: 2010-01-13
APOLLO MEDICAL IMAGING TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ROI method commonly used in daily practice is prone to partial volume effects and cannot effectively provide users with this inhomogeneity information for detailed analysis

Method used

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  • Identification and analysis of lesions in medical imaging
  • Identification and analysis of lesions in medical imaging
  • Identification and analysis of lesions in medical imaging

Examples

Experimental program
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Embodiment Construction

[0058] Detailed description of the preferred embodiment

[0059] The invention is particularly applicable to dynamic MRI, CT, NM and PET imaging systems, eg dynamic MRI of the breast. Raw data and / or images acquired by scanning, for example with an MRI scanner 20, a CT scanner 25, an NM scanner 30 or a PET scanner 35, are sent to the figure 2 A data storage system 40 of a picture storage communication system (PACS). A computer program running on processor 50 in the form of a computer is used to acquire or receive various images or raw data from any of scanners 20 , 25 , 30 or 35 or from data storage system 40 . The program then processes those images to provide improved data sets for use by medical personnel, especially for evaluating morphological and kinetic information for diagnosing disease and optimally distinguishing benign from malignant disease. The computer program need not be resident on computer 50 , but could be resident in a console computer connected to any on...

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Abstract

A method for automated classification of curve patterns associated with dynamic image data of a lesion in a subject in order to determine characteristics of the lesion. The method comprising the steps of loading the image data into an electronic memory means, producing a plot of signal intensity profile, converting the signal intensity profile into a contrast enhancement profile, detecting a reference enhancement profile having a highly positive slope over an initial enhancement period followed by a decreasing profile portion, deriving signature curve types based on the reference enhancement profile, classifying an enhancement curve for each pixel in a selected ROI into one of the derived signature curve types using all available time points and displaying a grid-plot of the classified enhancement curves for all pixels in the selected ROI, wherein the overall display of curves and heterogeneity provides visual indication of the characteristics of the lesion.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to Australian Provisional Patent Application No. 2007900498 filed 2 February 2007, the contents of which are incorporated herein by reference. field of invention [0003] The present invention relates to a method and system for image processing and analysis of medical imaging data, and more particularly to an improved method and system for identifying and analyzing lesions in dynamic medical imaging data of a subject so that Obtain the required structural and functional information through an intuitive interface coupled with automated classification of lesion enhancement patterns. Background of the invention [0004] A method of non-invasively measuring functional information such as blood flow in a subject can be used for diagnosing and treating the subject. This is especially true where a part of a subject or patient, such as a tissue or organ, is diseased due to, for example, cancer...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055A61B5/06G06T1/00G06K9/00
CPCA61B6/481G06T2207/30068G06T2207/10072G06T2207/10096A61B6/504G06T7/0012
Inventor Q·杨
Owner APOLLO MEDICAL IMAGING TECH
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