Abstract：Registration is widely used in medical imaging applications. It is time-consuming due to its huge computation and a new rapid registration framework was presented. The inputting data to the framework include two images: fixed image and moving image. The outputting data were the result image representing the differences between the fixed image and the moving image after registration. Besides the inputting and outputting data, the framework can be divided into four parts: interpolator, measurer, optimizer and transformer. Interpolator was used for evaluating moving image intensities at non-grid positions. Measurer evaluated how well the fixed image was matched by the transformed moving image. Optimizer can optimize the measure criterion and transformer exerted some transformations on the objective image. These four parts acted as different roles in medical images registration and constructed a simple, rapid and stable medical images registration framework. Compared with other registration frameworks, the proposed framework was quite simpler in structure but much quicker in image processing and application development. Good results have been obtained in practical applications.
2010, Vol. 30 
