Technology Research, Medical Image Fusion Based On Wavelet Transform

Medical image is a core step of medical diagnosis and has been diffusely applied in medical domain. The technology of modern medical image is more and more mature that it could present medical images of different modes and different features. Medical image fusion is the technology which could compound two mutual images to one image according to certain rules. We could observe the fusion image to confirm the position of illness.According to the mutual features of CT medical image and MRI medical image and based on the technology of wavelet transform, the paper presents two effective and applied medical image fusion methods.The first method is based on the features of certain area. The principle is to construct weighted factor and matching degree with some related parameters to compound the area of high frequency which presents the detailed information. To the area of low frequency, we select the principle of maximum absolute value. Finally we get the fusion image from wavelet reconfiguration. By the estimate of subjectivity and objectivity, the method is applied and could export excellent visual effect and good parameters.The other method is based on lifting algorithm. It decomposes the original image to area of low frequency and high frequency and then transforms it with different fusion rules. To area of low frequency, we apply weighted fusion and to area of high frequency, we select the rule of maximum standard deviation. Finally we get fusion image from wavelet reconfiguration. By the estimate of subjectivity and objectivity, the method keeps the detailed information effectively and presents clear profile. At the same time, the executed time is shorter than others which is an applied and excellent fusion method.