Detecting haemorrhagic stroke in CT image data
First Claim
1. A system for identifying an acute haematoma in non-contrasted computed tomography image data, the system comprising a computer programmed to:
- perform a first analysis of gray values of non-contrasted computer tomography image data, the first analysis comprising region growing and thresholding;
extract a candidate region suspected to be the acute haematoma, based on the first analysis of the gray values;
perform a second analysis of spatial features of the candidate region, including a size of the candidate region, a shape of the candidate region, and a connectedness of the candidate region to a skull; and
classify, via a distance-based histogram of a mean gray value of the candidate region, the candidate region as a positive or negative acute haematoma, based on the analysis of spatial features.
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Abstract
The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.
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Citations
17 Claims
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1. A system for identifying an acute haematoma in non-contrasted computed tomography image data, the system comprising a computer programmed to:
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perform a first analysis of gray values of non-contrasted computer tomography image data, the first analysis comprising region growing and thresholding; extract a candidate region suspected to be the acute haematoma, based on the first analysis of the gray values; perform a second analysis of spatial features of the candidate region, including a size of the candidate region, a shape of the candidate region, and a connectedness of the candidate region to a skull; and classify, via a distance-based histogram of a mean gray value of the candidate region, the candidate region as a positive or negative acute haematoma, based on the analysis of spatial features. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of identifying an acute haematoma in non-contrasted computed tomography image data, the method comprising:
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extracting a candidate region suspected to be the acute haematoma, based on a first analysis of gray values of the image data including region growing and thresholding, the region growing and thresholding comprising; casting rays from a border of the image data, responsive to a ray contacting an object having a gray value greater than associated skull threshold value and with an extension greater than a preselected distance, setting a seed within the object, and determining a binary mask of a skull defining a skull region for extraction; and classifying the candidate region as a positive or negative acute haematoma, based on a second analysis of spatial features of the candidate region, wherein the spatial features include a size of the candidate region, a shape of the candidate region, and a connectedness of the candidate region to the skull. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A non-transitory computer-readable storage medium storing a computer program which, when executed on a computer configures the computer to perform a method of identifying an acute haematoma in non-contrasted computed tomography image data, including:
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extracting a candidate region suspected to be the acute haematoma, based on a first analysis of gray values of the image data, the first analysis including region growing and thresholding; and classifying the candidate region as a positive or negative acute haematoma, based on a second analysis of spatial features of the candidate region via a distance-based histogram, wherein the spatial features include a size of the candidate region, a shape of the candidate region, and a connectedness of the candidate region to a skull.
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15. A system for identifying an acute haematoma in non-contrasted computed tomography image data, the system comprising a computer programmed to:
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perform a first analysis of gray values of the non-contrasted computer tomography image data, the first analysis comprising region growing and thresholding; extract a candidate region suspected to be the acute haematoma, based on the first analysis of the gray values, the extracting comprising; extracting a skull region by; casting rays from a border of the image data, responsive to a ray contacting an object having a gray value greater than an associated skull threshold value and with an extension greater than a preselected distance, setting a seed within the object, and determining a binary mask of the skull defining the skull region for extraction; extracting a brain region, based on the extracted skull region; and extracting the candidate region from within the brain region; perform a second analysis of spatial features of the candidate region, including a size of the candidate region, a shape of the candidate region, and a connectedness of the candidate region to a skull; and classify the candidate region as a positive or negative acute haematoma, based on the analysis of the spatial features. - View Dependent Claims (16, 17)
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Specification