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This paper is about some practical problems related to image registration of clinical head CT images. The process of image registration is to bring two or more images into spatial alignment. The first step in image registration is to know correct image orientation relative to the world coordinates. The clinical head computed tomography (CT) images have several special features. One is related to different...
In this paper we propose a new atlas based image registration method of clinical head CT images with subarachnoid hemorrhage. The registration is based on a probability atlas from the international consortium for brain mapping. We use B-spline as basic warping transform and mutual information as intensity similarity metric. In order to improve the robustness of the method, the brain is extracted and...
In this paper we present an approach for detecting brain hemorrhage regions from clinical head computed tomography (CT) scans. Firstly, non-brain tissues are removed by thresholding based on Fuzzy C-means (FCM) clustering. Then, thresholding based on maximum entropy is employed for the candidate hemorrhage region detection. Finally, non-hemorrhage regions and other normal artifacts are differentiated...
A fast and robust algorithm to segment the head from T1-weighted magnetic resonance (MR) volumes is presented based on robust determination of threshold from combination of the original volume (through employing the fuzzy c-means clustering which is insensitive to intensity inhomogeneity) and the average axial image (which suppresses the intensity noise), efficient connected component analysis through...
The spatial relationship between the plane passing through the interhemispheric fissure (IFP) and the symmetry plane (SP) that maximizes brain or head symmetry remains weakly explored. A new method based on local symmetry of the brain/head is proposed to extract the symmetry plane robustly within 6 s. The SPs for 98 diversified MRI data sets (80 normal, 18 pathological) were extracted for the brain...
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