E-Muser (Enhanced Multiple Sclerosis Expected Rate): A Technical Improvement

Quality Improvement Through Multiple Response Optimization (TECHNICAL NOTE)

The performance of a product is often evaluated by several quality characteristics.  ptimizing the manufacturing process with respect to only one quality characteristic will not always lead to the optimum values for other characteristics. Hence, it would be desirable to improve the overall quality of a product by improving quality characteristics, which are considered to be important. The probl...

Association of Apolipoprotein E Polymorphism with Susceptibility to Multiple Sclerosis

بررسی subscale های scl90-r در بیماری multiple sclerosis

چکیده ندارد.

The “expected Improvement”

A classical way to solve the inverse problem of defect characterization is to construct an iterative loop which tries to achieve the best resemblance between the measured data and the output of an appropriate simulator of the considered experiment. If the similarity of these signals is best, one can say that a solution for the defect characterization problem has been found (in a certain sense),...

Diffusion MR imaging in multiple sclerosis: technical aspects and challenges.

SUMMARY Diffusion tensor (DT) MR imaging has frequently been applied in multiple sclerosis (MS) because of its ability to detect and quantify disease-related changes of the tissue microstructure within and outside T2-visible lesions. DT MR imaging data collection places high demands on scanner hardware and, though the acquisition and postprocessing can be relatively straightforward, numerous ch...