WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising

arXiv:2403.11672v1 Announce Type: cross
Abstract: In clinical examinations and diagnoses, low-dose computed tomography (LDCT) is crucial for minimizing health risks compared with normal-dose computed tomography (NDCT). However, reducing the radiation dose compromises the signal-to-noise ratio, leading to degraded quality of CT images. To address this, we analyze LDCT denoising task based on experimental results from the frequency perspective, and then introduce a novel self-supervised CT image denoising method called WIA-LD2ND, only using NDCT data. The proposed WIA-LD2ND comprises two modules: …

abstract alignment analyze arxiv clinical cs.cv denoising eess.iv health however image images low noise normal quality risks signal type wavelet