Mutual Information Image Registration

Mutual information image registration is a widely used image processing technique that achieves image alignment by calculating mutual information between images. Implementing mutual information image registration using MATLAB enables efficient and rapid processing of multi-modal medical images, significantly improving accuracy and efficiency in image analysis. This method involves key algorithmic components such as probability distribution estimation using histogram analysis, entropy calculations, and optimization techniques like gradient descent for parameter adjustment. The MATLAB implementation typically utilizes functions from the Image Processing Toolbox, including image registration functions that handle spatial transformations and similarity metric computations. Mutual information image registration finds extensive applications in medical imaging, facilitating precise image alignment, comparison, and analysis, thereby providing physicians with more accurate diagnostic information and treatment recommendations.