Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems

arXiv:2404.03706v1 Announce Type: cross
Abstract: In the realm of medical imaging, inverse problems aim to infer high-quality images from incomplete, noisy measurements, with the objective of minimizing expenses and risks to patients in clinical settings. The Diffusion Models have recently emerged as a promising approach to such practical challenges, proving particularly useful for the zero-shot inference of images from partially acquired measurements in Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). A central challenge in this approach, however, is how …

abstract aim arxiv challenges clinical cs.lg diffusion diffusion models eess.iv images imaging medical medical imaging patients practical quality realm risks type zero-shot