Medical Image Registration Implementation in MATLAB

This medical image registration program developed in MATLAB enables precise alignment of two correlated medical images. The implementation typically involves feature detection algorithms (such as SIFT or SURF) and transformation models (affine or non-rigid) to achieve optimal spatial correspondence. This program finds extensive applications in medical fields including disease diagnosis and surgical planning, allowing accurate comparison between images to identify similarities and differences. Through the registration process, which may incorporate optimization functions like fminsearch or imregister, physicians can perform more precise image analysis and comparison, leading to improved diagnostic accuracy and treatment planning. The program features a GUI interface created using MATLAB's App Designer or GUIDE, making operations intuitive and efficient. By utilizing this registration system with its embedded image processing toolbox functions, medical image processing efficiency and accuracy can be significantly enhanced.