Multimodal medical image registration and visualization method

Abstract

The invention relates to a multimodal medical image registration and visualization method. Based on FLTK, VTK, and IRTK technologies, the method provides a friendly operation interface and visualization functions, simplifies the complex algorithm parameter configuration process, facilitates registration operations, and realizes multi-modal medical image registration; provides image denoising preprocessing to Improve image quality and reduce the impact of noise on registration accuracy; in the case of large coordinate position differences between the target image and the source image, a point set registration method is provided to complete the coarse registration of the coordinate position, which provides a basis for subsequent rigid, affine and nonlinear registration. Accurate implementation for initialization; support cascade working mode of multiple registration methods to improve registration efficiency; use multi-threaded programming technology to realize real-time dynamic display of the registration process, which is convenient for understanding and monitoring the registration process; registration The result is automatically output and saved; using the transformation matrix of the registration result and adding a smooth limit item, the function of diffeomorphism transformation and fast segmentation can be realized.

Description

technical field [0001] The invention relates to the technical field of computer application technology and medical image registration, in particular to a multimodal medical image registration and visualization method based on IRTK, VTK and FLTK technologies. Background technique [0002] At present, medical images are more and more widely used in medical diagnosis, planning treatment, guiding treatment and disease monitoring. Thanks to the rich and diverse medical imaging modalities (such as CT, MRI, PET, etc.), modern medical imaging technology is changing the traditional medical diagnosis and treatment methods. In medical image analysis, it is usually necessary to integrate these multimodal image information for disease analysis and diagnosis. In this process, medical image registration technology plays a vital role, the so-called medical image registration The technology is to find an optimal geometric transformation, through which two or more medical images from differe...

AI Technical Summary

Problems solved by technology

Its disadvantages are: the method lacks denoising preprocessing of image data; the registration process only displays the iterative data and the final registration results, but cannot dynamically display the intermediate registration results in real time; it cannot provide target images and source images A variety of superimposed interactive display

This method cannot complete multimodal medical image registration with huge differences in spatial coordinate positions; this method cannot provide cascading of multiple registration methods; it cannot quickly complete rapid segmentation and diffeomorphism transformation according to the transformation matrix of the registration result ( That is: through the same transformation parameters, the reverse registration process from the target image to the source image is realized)

Images