Tomographic biomedical images are commonly affected by an imaging artefact known as the partial volume (PV) effect. The PV effect produces voxels composed of a mixture of tissues in anatomical magnetic resonance imaging (MRI) data resulting in a continuity of these tissue classes. Anatomical MRI data typically consist of a number of contiguous regions of tissues or even contiguous regions of PV...

1. BIOLOGICALLY INSPIRED APPROACHES TO PERCEPTION, KNOWLEDGE REPRESENTATION AND ACTION IN ROBOTICS ............................................................................................................................. 2 2. COORDINATED PLANNING, ESTIMATION, AND NAVIGATION FOR AUTONOMOUS MOBILE ROBOTS ............................................................................................

BACKGROUND The rational design of theranostic nanoprobe to present responsive effect of therapeutic potency and enhanced diagnostic imaging in tumor milieu plays a vital role for efficient personalized cancer therapy and other biomedical applications. We aimed to afford a potential strategy to pose both T1- and T2-weighted MRI functions, and thereby realizing imaging guided drug delivery and ta...

A. F. Gmitro, S. Moore, R. Gatenby Department of Radiology, University of Arizona, Tucson, AZ, United States, College of Optical Sciences, University of Arizona, Tucson, AZ, United States, Biomedical Engineering, University of Arizona, Tucson, AZ, United States Introduction: MRI of mouse models is a powerful method of investigation in cancer biology. It is used routinely to study anatomic, phys...

Over the last decade, integrin α(v)β(3) has been studied with every single molecular imaging modality. Since no single modality is perfect and sufficient to obtain all the necessary information for a particular question, combination of certain molecular imaging modalities can offer synergistic advantages over any modality alone. This review will focus on multimodality imaging of integrin α(v)β(...

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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