background: most preclinical studies are carried out on mice. for internal dose  assessment of a mouse, specific absorbed fraction (saf) values play an important role.  in most studies, saf values are estimated using older standard human organ compositions  and values for limited source target pairs. objective: saf values for monoenergetic photons of energies 15, 50, 100, 500,  1000 and 4000 ke...

introduction as functional magnetic resonance imaging (fmri) is too expensive and time consuming, its frequent implementation is difficult. the aim of this study is to evaluate repeatability of detecting visual cortex activity in fmri. materials and methods in this study, 15 normal volunteers (10 female, 5 male; mean age±sd: 24.7±3.8 years) attended. functional magnetic resonance images were ob...

introduction: because of the importance of vertebral compressive fracture (vcf) role in increasing the patients’ death rate and reducing their quality of life, many studies have been conducted for a noninvasive prediction of vertebral compressive strength based on bone mineral density (bmd) determination and recently finite element analysis. in this study, qct-voxel based nonlinear finite eleme...

an integrated model for magnetoencephalography (meg) and functional magnetic resonance imaging (fmri) is proposed. in the proposed model, meg and fmri outputs are related to the corresponding aspects of neural activities in a voxel. post synaptic potentials (psps) and action potentials (aps) are two main signals generated by neural activities. in the model, both of meg and fmri are related to t...

conclusion no significant differences were found among observers or voxel sizes, with high az results reported for all groups. results no significant differences were found among observers or voxel sizes, with high average z (az) results being reported for all groups. both intra- and inter-observer agreement values were relatively better for 3d accuitomo 170 images than the images from newtom 3...

The existing 3D deep learning methods adopt either individual point-based features or local-neighboring voxel-based features, and demonstrate great potential for processing data. However, the models are inefficient due to unordered nature of point clouds suffer from large information loss. Motivated by success recent point-voxel representation, such as PVCNN DRINet, we propose a new convolution...