Diffusion Models for Medical Image Reconstruction
Better algorithms for medical image reconstruction can improve image quality and enable
reductions in acquisition time and radiation dose. A prior understanding of the distribution of …
reductions in acquisition time and radiation dose. A prior understanding of the distribution of …
[HTML][HTML] An efficient dual-domain deep learning network for sparse-view CT reconstruction
C Sun, Y Salimi, N Angeliki, S Boudabbous… - Computer methods and …, 2024 - Elsevier
Abstract Background and Objective: We develop an efficient deep-learning based dual-
domain reconstruction method for sparse-view CT reconstruction with small training …
domain reconstruction method for sparse-view CT reconstruction with small training …
LOQUAT: Low-Rank Quaternion Reconstruction for Photon-Counting CT
Z Lin, G Quan, H Qu, Y Du… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Photon-counting computed tomography (PCCT) may dramatically benefit clinical practice
due to its versatility such as dose reduction and material characterization. However, the …
due to its versatility such as dose reduction and material characterization. However, the …
Deep Inertia Half-quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
Sparse view computed tomography (CT) reconstruction poses a challenging ill-posed
inverse problem, necessitating effective regularization techniques. In this letter, we employ …
inverse problem, necessitating effective regularization techniques. In this letter, we employ …