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Automatic measurement of lesions on medical images

  • US 10,269,118 B2
  • Filed: 11/09/2017
  • Issued: 04/23/2019
  • Est. Priority Date: 03/01/2013
  • Status: Active Grant
First Claim
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1. A non-invasive method for assessing the presence of non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH) or severe fibrosis in a liver organ or liver tissue of a subject through automated analysis of at least one image of said liver organ or liver tissue, the method utilizing a microprocessor comprising a computer algorithm configured to analyze the at least one image and calculate a score combining descriptors of said image, said method comprising the steps of:

  • a. measuring on said at least one image at least two descriptors of said at least one image, the descriptors being selected from the group consisting of;

    fractal dimension of the edges of the organ or fragment thereof, linearity percentage of the edges, nodularity of the curved and irregular edges of the organ, angularity, length of the organ or fragment thereof, length of a biopsy, length of numeric specimen, height of the organ, perimeter of the organ or fragment thereof, mean and total native perimeter of the organ, smoothed perimeter of the organ, ratio between the native and smoothed perimeters, also referred as anfractuosity, largest perimeter of the organ, indentation of the organ, area of the organ or fragment thereof, granularity percentage, fragmentation, mean intensity of the image on the red component, mean intensity of the image on the green component, mean intensity of the image on the blue component, area of fibrosis, fractal dimension of fibrosis, mean of percentage of fibrosis around areas, number of nodules, number of nodules with more than 30% of fibrosis around, area of steatosis, relative area of steatosis, fractal dimension of steatosis, area of porto-septal fibrosis, fractal dimension of porto-septal fibrosis, area of peri-sinusoidal fibrosis, fractal dimension of peri-sinusoidal fibrosis, area of lobular peri-sinusoidal fibrosis, ratio of peri-sinusoidal fibrosis among the whole fibrosis, luminosity of fibrosis staining in the red, green and/or blue components, luminosity of the parenchyma staining in the red, green and/or blue components, luminosity contrast between fibrosis and parenchyma, luminosity contrast between fibrosis and the organ or fragment thereof, area of stellar fibrosis among the total surface of the LB specimen, area of stellar fibrosis among the surface of porto-septal regions, area of stellar fibrosis among the surface of lobular regions, number of porto-septal regions;

    mean area of stellar fibrosis, mean area of porto-septal regions, number of bridges, ratio of bridges among the porto-septal areas, area of fibrosis in the bridges, bridges thickness, bridges perimeter, bridges surface, portal distance, organ fat ratio, abdominal fat ratio, hypertrophy of liver segment I, surface of the segment I, width of the liver segment IV, ratio between segment I and segment IV dimensions, furrow thickness, surface of the furrow I, internal nodularity in the liver, diameter of the portal vein, heterogeneity of the density intensity, fractal organization of the organ, mean total density of the image, standard deviation of total density of the image, coefficient of variation of total density of the image, median total density of the image, interquartile range of total density of the image, ratio between interquartile range of total density and median of total density of the image, mean density of a region of interest (ROI) on the image, standard deviation of ROI density on the image, coefficient of variation of ROI density on the image, median ROI density on the image, interquartile range of ROI density on the image, ratio between interquartile range of ROI density and median of ROI density on the image, mean surface of the organ or fragment thereof, total surface of the organ or fragment thereof, total mean surface of the organ or fragment thereof, ratio between the organ perimeter and the organ surface, ratio between spleen surface and liver surface, ratio between spleen perimeter and liver perimeter, ratio between segment I surface and liver surface, Arantius furrow thickness, Arantius furrow surface, portal furrow thickness and number of fragments;

    b. mathematically combining said at least two descriptors from step (a) in a score, wherein said mathematical combination is a binary logistic regression, a linear discriminant analysis, or a multiple linear regression; and

    c. assessing the presence of non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH) or severe fibrosis in the liver organ or liver tissue, based on the value of the score calculated at step (b).

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