Abstract
It is important to discover a brain disease at an early stage to decrease the mortality. However, the present medical examination for the brain needs large expense of both money and time. In our study, we have proposed a new MRI device to find out any brain diseases even if people don't come to hospital. The output of the proposed device is a set of super-low field MR images which are indistinct in comparison with the previous MR images. Therefore, it is difficult to detect brain diseases from the super-low field MR images directly. This paper presents a method to detect brain tumors and brain bleeding from the super-low field brain MR images of patients. Our method can be specified the position of disease based on the following properties; i ) the left and the right brain is almost mirror image each other, and the correlation between them is higher, ii ) the intensity characteristics including disease in the super-low field brain MR images are changed gradually like contour lines. In the experimental results, it is shown that the correlation coefficients for the diseases the left and right brain tend to be lower compared with the other candidates.
