Introduction: Nowadays applying computer in image processing is being improved revolutionary for solving medical images deficiencies. Image features that are analysis in image processing show image information. The aim of the present study was to find correlation between CT- scan and MRI images' features. Materials and Methods: After data acquisition, applying...

background: ultrasmallsuperparamagnetic iron oxide (uspio) nanoparticles are used as blood pool contrast agent for magnetic resonance angiography and perfusion imaging. our aim in this study was to investigate the effect of the two coating types of iron oxide nanoparticles on the relationship between nanoparticles concentration and signal intensity (si) in t1-weighted mr images.   methods : dif...

the incidence of multiple myeloma (mm) affecting the jaws is 30% and on rare occasions the oral involvement can be the first indication of the disease. authors report a case of mm in a 40-yearold woman who presented with a multilocular radiolucent lesion in the left mandible initially mistaken as an ameloblastoma. conventional radiographs revealed a multilocular lesion on the molar region. comp...

purpose t1wi (t1 weighted image) was acquired in order to grade bone fusion following the studies by fifa (federation internationale de football associations). research using images other than t1wi has not been reported. the aim of this study is to evaluate the grade of epiphyseal fusion by t2* weighted images (t2*wi) and to investigate new findings on t2*wi as compared with t1wi. methods a tot...

with the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. among these systems are machine vision systems which are based on image processing and analysis. one of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...

With the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. Among these systems are machine vision systems which are based on image processing and analysis. One of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...

Learning-based lossy image compression usually involves the joint optimization of rate-distortion performance, and requires to cope with spatial variation content contextual dependence among learned codes. Traditional entropy models can spatially adapt local bit rate based on content, but are limited in exploiting context code space. On other hand, most deep computationally very expensive canno...