# Methods based on Radon transform for non-affine deformable image registration of noisy images

arXiv: https://arxiv.org/abs/2409.00037 · HTML: https://mlsanity.com/paper/2409.00037/

## Key facts

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- First posted on arXiv 18 Aug 2024.

## Abstract (arXiv)

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.