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As positron-emission tomography (PET) images have low spatial resolution and much noise, accurate image segmentation is one of the most challenging issues in tumor quantification. Tumors of the uterine cervix present a particular challenge because of urine activity in the adjacent bladder. Here, we propose and validate an automatic segmentation method adapted to cervical tumors. Our proposed methodology...
PET/CT image fusion has emerged as a new and promising research area in recent years, whereas the current standard method for PET/CT fusion, Alpha-blending, often blurs fine anatomical structure. In this paper, a new fusion method based on the Pansharp model is presented. Our proposed method consists of first up-scaling the PET image to the resolution of the CT data by bilinear interpolation and registering...
We have designed a multimodality molecular imaging system for small animals. The aim is to develop a system which can perform functional imaging, structural imaging, and molecular imaging. Our multimodality system contains five imaging modalities which are Bioluminescence Tomography (BLT), Fluorescence Molecular Tomography (FMT), Cerenkov Luminescence Tomography (CLT), X-ray Computed Tomography (CT),...
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