Recently, image fusion has attracted a lot of interest in various areas. Presented is a novel image fusion study, called medical image fusion with guided filtering and pixel screening. First, source image is merged as subsequent filtering input image by weighted fusion. Then, filtering outcome is compressed by Dynamic Range Compression (DRC) to highlight edge information. Finally, exploiting a pixel screening strategy to consummate texture structure of fused result. Comparing the fusion results of weight-averaging, Discrete Wavelet Transform (DWT) and guided filtering output, the Mutual Information (MI) of the proposed study is the largest and fusion results are also very satisfactory in terms of edge and texture information. The comparison results show that this study has better performance over state-of-the-art fusion schemes in improving the quality of the fused image.