Methods based on Radon transform for non-affine deformable image registration of noisy images
<|reference_start|>Methods based on Radon transform for non-affine deformable image registration of noisy images: Deformable image registration is a standard engineering problem used to determine the distortion experienced by a body by comparing two images of it in different states. This study introduces two new DIR methods designed to capture non-affine deformations using Radon transform-based similarity measures and a classical regularizer based on linear elastic deformation energy. It establishes conditions for the existence and uniqueness of solutions for both methods and presents synthetic experimental results comparing them with a standard method based on the sum of squared differences similarity measure. These methods have been tested to capture various non-affine deformations in images, both with and without noise, and their convergence rates have been analyzed. Furthermore, the effectiveness of these methods was also evaluated in a lung image registration scenario.<|reference_end|>
@article{hurtado2024methods,
    title={Methods based on Radon transform for non-affine deformable image
  registration of noisy images},
    author={Daniel E. Hurtado, Axel Osses and Rodrigo Quezada},
    journal={arXiv preprint arXiv:2409.00037},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00037},
    primaryClass={cs.CV cs.NA math.AP math.NA math.OC}
}