detection of brain tissues using magnetic resonance imaging (mri) is an active and challenging research area in computational neuroscience. brain mri artifacts lead to an uncertainty in pixel values. therefore, brain mri segmentation is a complicated concern which is tackled by a novel data fusion approach. the proposed algorithm has two main steps. in the first step the brain mri is divided to...

background: to retrospectively describe imaging characteristics of liver metastases on fused fdg-pet/ mri data sets and to compare the diagnostic accuracy of mri and fused fdg-pet/mri data sets for the detection of liver metastases in patients undergoing systemic anticancer treatment. materials and methods: 43 oncological patients (mean age: 56+/- 11 years) were investigated by fdg-pet/ct and l...

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