Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
The field of view (FOV) of a cone-beam computed tomography (CBCT) unit in a single-
photon emission computed tomography (SPECT)/CBCT system can be increased by …
photon emission computed tomography (SPECT)/CBCT system can be increased by …
Dictionary learning based sinogram inpainting for CT sparse reconstruction
In CT (computed tomography), reconstruction from undersampling projection data is often ill-
posed and suffers from severe artifact in the reconstructed images. To overcome this …
posed and suffers from severe artifact in the reconstructed images. To overcome this …
A variational reconstruction method for undersampled dynamic x-ray tomography based on physical motion models
In this paper we study the reconstruction of moving object densities from undersampled
dynamic x-ray tomography in two dimensions. A particular motivation of this study is to use …
dynamic x-ray tomography in two dimensions. A particular motivation of this study is to use …
Self-supervised bayesian deep learning for image recovery with applications to compressive sensing
In recent years, deep learning emerges as one promising technique for solving many ill-
posed inverse problems in image recovery, and most deep-learning-based solutions are …
posed inverse problems in image recovery, and most deep-learning-based solutions are …
Comparison between pre-log and post-log statistical models in ultra-low-dose CT reconstruction
L Fu, TC Lee, SM Kim, AM Alessio… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
X-ray detectors in clinical computed tomography (CT) usually operate in current-integrating
mode. Their complicated signal statistics often lead to intractable likelihood functions for …
mode. Their complicated signal statistics often lead to intractable likelihood functions for …
Nonconvex prior image constrained compressed sensing (NCPICCS): Theory and simulations on perfusion CT
Purpose: To present and evaluate a new image reconstruction method for dynamic CT
based on a nonconvex prior image constrained compressed sensing (NCPICCS) algorithm …
based on a nonconvex prior image constrained compressed sensing (NCPICCS) algorithm …
Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction
PT Lauzier, GH Chen - Medical physics, 2013 - Wiley Online Library
Purpose: The ionizing radiation imparted to patients during computed tomography exams is
raising concerns. This paper studies the performance of a scheme called dose reduction …
raising concerns. This paper studies the performance of a scheme called dose reduction …
Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction
The potential for statistical image reconstruction methods such as penalized-likelihood (PL)
to improve C-arm cone-beam CT (CBCT) soft-tissue visualization for intraoperative imaging …
to improve C-arm cone-beam CT (CBCT) soft-tissue visualization for intraoperative imaging …
Scatter correction for cone‐beam computed tomography using moving blocker strips: a preliminary study
Purpose: One well‐recognized challenge of cone‐beam computed tomography (CBCT) is
the presence of scatter contamination within the projection images. Scatter degrades the …
the presence of scatter contamination within the projection images. Scatter degrades the …
Hounsfield unit recovery in clinical cone beam CT images of the thorax acquired for image guided radiation therapy
A comprehensive artefact correction method for clinical cone beam CT (CBCT) images
acquired for image guided radiation therapy (IGRT) on a commercial system is presented …
acquired for image guided radiation therapy (IGRT) on a commercial system is presented …