Application of Improved Genetic Algorithm in Practical Medical Image Registration
نویسندگان
چکیده
Image registration is a useful technique for medical diagnosis and treatment. However,using basic genetic algorithm as similarity metric in medical image registration has some shortcomings,such as low efficiency and premature convergence that may lead to fail in medical image registration. This paper aims to provide an improved genetic algorithm on which such problems could be settled.Operation migration which combined with the Nelder-Mead simplex method was added in the improved genetic algorithm. In this way, on a systemic scale emphasis on the proposition of an advanced algorithm for preventing premature convergence and improve the accuracy would be of great significance. It is then successfully applied for the registration of data of the brain which acquired by two different medical imaging modalities.
منابع مشابه
Quantitative SPECT and planar 32P bremsstrahlung imaging for dosimetry purpose –An experimental phantom study
Background: In this study, Quantitative 32P bremsstrahlung planar and SPECT imaging and consequent dose assessment were carried out as a comprehensive phantom study to define an appropriate method for accurate Dosimetry in clinical practice. Materials and Methods: CT, planar and SPECT bremsstrahlung images of Jaszczak phantom containing a known activity of 32P were acquired. In addition, Phanto...
متن کاملDPML-Risk: An Efficient Algorithm for Image Registration
Targets and objects registration and tracking in a sequence of images play an important role in various areas. One of the methods in image registration is feature-based algorithm which is accomplished in two steps. The first step includes finding features of sensed and reference images. In this step, a scale space is used to reduce the sensitivity of detected features to the scale changes. Afterw...
متن کاملA Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information
Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملHybrid Particle Swarm Optimization and Its Application to Multimodal 3D Medical Image Registration
In the area of medical image analysis, 3D multimodality image registration is an important issue. In the processing of registration, an optimization approach has been applied to estimate the transformation of the reference image and target image. Some local optimization techniques are frequently used, such as the gradient descent method. However, these methods need a good initial value in order...
متن کاملبهبود سرعت "انطباق مبتنی بر روش برش گراف" جهت انطباق غیر صلب تصاویر تشدید مغناطیسی مغز
Image processing methods, which can visualize objects inside the human body, are of special interests. In clinical diagnosis using medical images, integration of useful data from separate images is often desired. The images have to be geometrically aligned for better observation. The procedure of mapping points from the reference image to corresponding points in the floating image is called Ima...
متن کامل