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The multi-scale display of digital imaging and communications in Medicine (DICOM) is the important step of detecting the lesions and making the radiotherapy plan. It is achieved by the dynamic regulation of the multi-scale display which also is called window operation to observe the organ tissues with different densities. The traditional way utilizing the linear function fails to be consistent with the characteristics of the human eye and loses image details. In this paper, nonlinear multi-scale display method is utilized to extend the gray level of the region of interest. In order to solve the contradiction between the long computing time of the nonlinear function and the real time of the dynamic window operation, the parallel generation algorithm of the images is implemented on the CUDA platform. The experiment results have shown that the optimization method has reached more elaborate display and at least an order of magnitude faster than traditional algorithms. Keywords—Multi-scale Display; CUDA; Medical Image I. INTRODUCTION Digital Imaging and Communications in Medicine (DICOM) [1] has been developed into an international standard of image and relevant information transmission between devices in medical imaging informatics which simplifying the medical image information exchange and widely used in the actual medical . In fact, the medical image produced by CT, MRI, PET, ultrasound, all conforms to the DICOM standard. Obtaining image-related information and displaying medical image on other platforms is crucial. The medical image data is stored by the relative value whose gray-scale is generally 4096 or higher. In practice, its gray-scale is far higher than the maximum gray-scale of the monitor which is generally 256. So the medical image data needs to be mapped to the gray-scale according with the specification of the display device. At present, a majority of techniques about the DCIOM image display focus on the window operation of the multiscale display method by linear function and fast implementation . A considerable number of techniques pay close attention to the intensification of the DICOM image after transformed However, the research about the window operation by nonlinear function to enhance the effect of the image display is lacking. Some researchers focus on introducing speediness look-up table to promote the speed which ensures the real-time. But the effect is unsatisfied. In this paper, the idle GPU computing power is exploited to complete the complex computing In this paper the real-time window operation of the multi-scale display method by nonlinear function is implemented fleetly which makes the image appears more consistent with the human Contrast Sensitivity and highlights the ROI (Region of Interest). The parallel computing based on the CUDA of NVIDIA GPU assures the real-time ability. II. PROPOSED METHOD AND MATERIALS A. Window Operation of Multi‐scale Display Method The gray level of DICOM image is much larger than the monitor. However, there is a corresponding grayscale range for particular organs and tissues. For example, the range of CT value of the brain tissue is generally from -100Hu to 150Hu. So we can display grayscale range of interested organizations by compressing it onto the gray interval which the displayer can show and shield others. Adjusting the grayscale scope to observe the organ tissues and lesions in different densities is called window operation of the multiscale display method. The compressed grayscale range is window. The width of the range is the window width and its central value is window center. For CT images, the CT value in a certain range is transformed to the gray value of the displayer which is shown in Fig. 1. First International Conference on Information Science and Electronic Technology (ISET 2015) © 2015. The authors Published by Atlantis Press 202 Fig. 1. Window Operation min CT is the minimum of the grayscale scope. is the maximum of the grayscale scope. max CT max min Window Width CT CT   (1)   max min Window Center / 2 CT CT   (2) When Photometric Interpretation is MONOCHROME1 the mapping formula i P K from the M N K   DICOM image to the P M N L   DIB image Q is as follow.

Optimizing of Real-time Multi-scale Display of DICOM Image Based on CUDA