In this paper, we develop a medical image clear vision technique for soft copy reading. We first transform different type medical images into 10 bits data. Then, an adaptive enhancement method is proposed. Our method combines compressing the global dynamic range of the transformed image and an improved unsharp masking. The main contribution of this method is to design different feature extracting filters for different type medical images and preset some parameters for monitor quality assurance and quality control in PACS. Moreover, we make DICOM calibration for used monitor and decide the parameters. Experimental results show that the proposed technique can improve effectively the visual quality of image displayed in monitors.
['Huiqin Jiang', 'Wenxing Li', 'Zhongyong Wang', 'Yumin Liu', 'Ling Ma']
A Medical Image Clear Vision Technique for Soft Copy Reading