Methods and apparatus for calcification scoring
First Claim
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1. A method of determining coronary artery calcification in computed tomography image data, said method comprising the steps of:
- collecting at least one slice of image data;
identifying at least one region of interest;
determining a density score for each region of interest; and
determining a calcification score using the density score, wherein the density score, DS, for each region of interest is determined in accordance with;
where;
HP=a CT number of pixel P, LT=an lower threshold number, UT=an upper threshold number, S=a scaling factor, and C=a constant.
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Abstract
The present invention, in one form, is a method for generating a calcification score in a CT image data using a scoring algorithm. In accordance with one embodiment of the algorithm, a calcium score is determined by identifying a scorable region in the image data, defining at least one region of interest in the scorable region, and determining a density score. After determining a calcium score for each region of interest, a total calcium score is determined. In addition, to correct for unequal and/or non-contiguous spacing of the slices of image data, a weighted total calcium score is determined.
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11 Claims
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1. A method of determining coronary artery calcification in computed tomography image data, said method comprising the steps of:
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collecting at least one slice of image data;
identifying at least one region of interest;
determining a density score for each region of interest; and
determining a calcification score using the density score, wherein the density score, DS, for each region of interest is determined in accordance with;
where; HP=a CT number of pixel P, LT=an lower threshold number, UT=an upper threshold number, S=a scaling factor, and C=a constant. - View Dependent Claims (2)
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3. A method of determining coronary artery calcification in computed tomography image data, said method comprising the steps of:
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collecting at least one slice of image data;
identifying at least one region of interest;
determining a density score for each region of interest;
determining a slice calcium score of each region of interest using the density score in accordance with;
determining a total calcium score using each slice calcium score;
where; CSR=a calcium score of each region of interest, AP=an area of a pixel P, PR=a number of scalable pixels in the region of interest, and DSP=a density score of pixel P. - View Dependent Claims (4, 5)
where; N=a normalization factor, F=a scale factor, G=G1+G2, G1=a distance between a previous slice and a current slice, G2=a distance between the current slice and a subsequent slice, R=a number of regions of interest.
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6. A system for determining a level of calcification in image data, the image data from a tomographic scan, said system comprising an x-ray source and a detector array, said system configured to:
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collect at least one slice of image data;
identify at least one region of interest;
determine a density score for each region of interest; and
determine a calcification score using said density score;
wherein said density score for each region of interest is determined in accordance with;
where; HP=a CT number of pixel P, LT=an lower threshold number, UT=an upper threshold number, S=a scaling factor, and C=a constant. - View Dependent Claims (7, 8)
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9. A system for determining a level of calcification in image data, the image data from a tomographic scan, said system comprising an x-ray source and a detector array, said system configured to:
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collect at least one slice of image data;
identify at least one region of interest;
determine a density score for each region of interest;
determine a slice calcium score of each region of interest using said density score in accordance with;
determine a total calcium score using each slice calcium score, where; CSR=a calcium score of each region of interest, AP=an area of a pixel P, PR=a number of scalable pixels in the region of interest, and DSP=a density score of pixel P. - View Dependent Claims (10, 11)
where; N=a normalization factor, F=a scale factor, G=G1+G2, G1=a distance between a previous slice and a current slice, G=a distance between a prior slice and a subsequent slice, and R=a number of regions of interest.
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Specification