A Rapid Registration Framework for Medical Images

Abstract

This paper presents a general framework for registration of medical images. Comparing with other registration frameworks, this framework is quite simpler in structure but much quicker in image processing and application development. The input data to the registration process are two images: one fixed image and one moving image. The output data are one result image represents the differences between the fixed image and the moving image after registration. Aside the input and output data, the framework can be separated into three parts: interpolator, measurer and optimizer. Interpolator is used for evaluating moving image intensities at non- grid positions. Measurer provides an appraisal method of how well the fixed image is matched by the transformed moving image. Optimizer can optimize the measure criterion with respect to the transform parameters. These three parts act as different roles in medical images registration and construct a simple, rapid and stable medical images registration framework.