Detecting haemorrhagic stroke in CT image data

摘要

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.

主权项

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.