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.
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