2D/3D Multimode Medical Image Registration Based on Normalized Cross-Correlation
نویسندگان
چکیده
Image-guided surgery (IGS) can reduce the risk of tissue damage and improve accuracy targeting lesions by increasing surgery’s visual field. Three-dimensional (3D) medical images provide spatial location information to determine plan operation process. For real-time tracking adjusting position surgical instruments, two-dimensional (2D) intraoperative information. In this experiment, 2D/3D image registration algorithm based on gray level is studied, normalized cross-correlation realized. The Gaussian Laplacian second-order differential operator introduced as a new similarity measure increase edge internal detail solve single small convergence regions algorithm. multiresolution strategy improves efficiency low
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2022
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app12062828