Method of analyzing a medical image
First Claim
1. A method of analyzing a medical image, the medical image comprising one or more than one region of interest, the method comprising:
- a) providing the medical image comprising a set of actual image values;
b) rescaling the actual image values to produce corresponding rescaled image values and to produce a rescaled image from the rescaled image values;
c) deriving a histogram of the rescaled image values;
d) using the histogram to derive an adaptive segmentation threshold that can be used to split the rescaled image into two sub-images, a first sub-image with intensities at or below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities at or above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold;
e) using the adaptive segmentation threshold to recursively split the rescaled image to generate a Hierarchical Region Splitting Tree of sub(sub) images based on consistency of the rescaled image values of the rescaled image;
f) terminating the recursive splitting of the sub(sub) images using one or more than one predetermined criteria thereby completing the Hierarchical Region Splitting Tree; and
g) identifying one sub(sub) image in the terminated Hierarchical Region Splitting Tree which comprises the region of interest.
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Abstract
A method of analyzing a medical image, where the medical image comprises one or more than one region of interest, and where the method comprises a) providing the medical image comprising a set of actual image values; b) rescaling the actual image values to produce corresponding rescaled image values and to produce a rescaled image from the rescaled image values; c) deriving a histogram of the rescaled image values; d) using the histogram to derive an adaptive segmentation threshold; e) using the adaptive segmentation threshold to recursively split the rescaled image; f) terminating the recursive splitting of the sub(sub) images using one or more than one predetermined criteria; and g) identifying one sub(sub) image in the terminated Hierarchical Region Splitting Tree which comprises the region of interest.
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Citations
55 Claims
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1. A method of analyzing a medical image, the medical image comprising one or more than one region of interest, the method comprising:
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a) providing the medical image comprising a set of actual image values; b) rescaling the actual image values to produce corresponding rescaled image values and to produce a rescaled image from the rescaled image values; c) deriving a histogram of the rescaled image values; d) using the histogram to derive an adaptive segmentation threshold that can be used to split the rescaled image into two sub-images, a first sub-image with intensities at or below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities at or above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold; e) using the adaptive segmentation threshold to recursively split the rescaled image to generate a Hierarchical Region Splitting Tree of sub(sub) images based on consistency of the rescaled image values of the rescaled image; f) terminating the recursive splitting of the sub(sub) images using one or more than one predetermined criteria thereby completing the Hierarchical Region Splitting Tree; and g) identifying one sub(sub) image in the terminated Hierarchical Region Splitting Tree which comprises the region of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 50, 51, 53, 54)
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28. A method of analyzing a medical image, the medical image comprising one or more than one region of interest, the method comprising:
a) configuring at least one processor to perform the functions of; 1) providing the medical image comprising a set of actual image values; 2) rescaling the actual image values to produce corresponding rescaled image values and to produce a rescaled image from the rescaled image values; 3) deriving a histogram of the rescaled image values; 4) using the histogram to derive an adaptive segmentation threshold that can be used to split the rescaled image into two sub-images, a first sub-image with intensities at or below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities at or above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold; 5) using the adaptive segmentation threshold to recursively split the rescaled image to generate a Hierarchical Region Splitting Tree of sub(sub) images based on consistency of the rescaled image values of the rescaled image; 6) terminating the recursive splitting of the sub(sub) images using one or more than one predetermined criteria thereby completing the Hierarchical Region Splitting Tree; and 7) identifying one sub(sub) image in the terminated Hierarchical Region Splitting Tree which comprises the region of interest. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52)
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55. A system for analyzing a medical image, the medical image comprising one or more than one region of interest, the system comprising:
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a) one or more than one processor; b) a machine readable storage connected to the one or more than one processor; c) a medical image comprising a set of actual image values stored in the storage; d) a set of machine readable instructions stored in the machine readable storage and operable on the medical image; e) a user interface operably connected to the set of computer instructions for transmitting one or more than one command to the one or more than one processor; f) instructions operably connected to the user interface for rescaling the actual image values to produce corresponding rescaled image values and to produce a rescaled image from the rescaled image values; g) instructions operably connected to the user interface for deriving a histogram of the rescaled image values; h) instructions operably connected to the user interface for using the histogram to derive an adaptive segmentation threshold that can be used to split the rescaled image into two sub-images, a first sub-image with intensities at or below the adaptive segmentation threshold and a second sub-image with intensities above the adaptive segmentation threshold, or a first sub-image with intensities below the adaptive segmentation threshold and a second sub-image with intensities at or above the adaptive segmentation threshold; i) instructions operably connected to the user interface for using the adaptive segmentation threshold to recursively split the rescaled image to generate a Hierarchical Region Splitting Tree of sub(sub) images based on consistency of the rescaled image values of the rescaled image; j) instructions operably connected to the user interface for terminating the recursive splitting of the sub(sub) images using one or more than one predetermined criteria thereby completing the Hierarchical Region Splitting Tree; k) instructions operably connected to the user interface for identifying one sub(sub) image in the Hierarchical Region Splitting Tree comprising the region of interest; and l) a storage operably connected to the one or more than one processor and the user interface for storing the resultant Hierarchical Region Splitting Tree images.
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Specification