Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models. (arXiv:2209.12104v1 [eess.IV])

MRI and CT are most widely used medical imaging modalities. It is often
necessary to acquire multi-modality images for diagnosis and treatment such as
radiotherapy planning. However, multi-modality imaging is not only costly but
also introduces misalignment between MRI and CT images. To address this
challenge, computational conversion is a viable approach between MRI and CT
images, especially from MRI to CT images. In this paper, we propose to use an
emerging deep learning framework called diffusion and score-matching models …

arxiv conversion diffusion images