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BACKGROUND Creutzfeldt-Jakob disease (CJD), a rare disease, is uncharacterized by computed tomography (CT) and magnetic resonance imaging (MRI). This study was aimed to evaluate the diffusion-weighted MRI (DWI) manifestations of CJD and to discuss their diagnostic value. METHODS The findings of T(1)-weighted MRI (T(1)WI), T(2)-weighted MRI (T(2)WI), DWI(More)
Graph cuts based interactive segmentation has drawn a lot of attention in recent years. In original graph cuts, the extraction of foreground object from its background often leads to many mistakes and the histogram distribution for energy function is not enough. In this paper, an iterated graph cut algorithm integrating texture characterization is proposed.(More)
An image segmentation approach by improved watershed partition and DCT energy compaction has been proposed in this paper. The proposed energy compaction, which expresses the local texture of an image area, is derived by exploiting the discrete cosine transform. The algorithm is a hybrid segmentation technique which is composed of three stages. First, the(More)
OBJECTIVES To measure the microstructural differences in the brains of participants with amnestic mild cognitive impairment (aMCI) and compare with a control group using a magnetic resonance diffusion tensor imaging (DTI) technique with fully automated image analysis tools. METHODS A standardized clinical and neuropsychological evaluation was conducted on(More)
OBJECTIVE To explore the methodology as well as the features, quantificational index, and reference standard of 3.0 Tesla magnetic resonance (MR) diffusion-weighted imaging (DWI) on the normal rabbit's liver. METHODS Twenty New Zealand white rabbits were enrolled and DWI was performed after anesthetics with multi-b values at 3.0 T MR scanner. Apparent(More)
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