Domain progressive 3D residual convolution network to improve low-dose CT imaging
The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
Low-dose CT denoising via sinogram inner-structure transformer
Low-Dose Computed Tomography (LDCT) technique, which reduces the radiation harm to
human bodies, is now attracting increasing interest in the medical imaging field. As the …
human bodies, is now attracting increasing interest in the medical imaging field. As the …
Directional-TV algorithm for image reconstruction from limited-angular-range data
Investigation of image reconstruction from data collected over a limited-angular range in X-
ray CT remains a topic of active research because it may yield insight into the development …
ray CT remains a topic of active research because it may yield insight into the development …
Non-convex primal-dual algorithm for image reconstruction in spectral CT
The work seeks to develop an algorithm for image reconstruction by directly inverting the
non-linear data model in spectral CT. Using the non-linear data model, we formulate the …
non-linear data model in spectral CT. Using the non-linear data model, we formulate the …
Image reconstruction and scan configurations enabled by optimization-based algorithms in multispectral CT
Optimization-based algorithms for image reconstruction in multispectral (or photon-counting)
computed tomography (MCT) remains a topic of active research. The challenge of …
computed tomography (MCT) remains a topic of active research. The challenge of …
[HTML][HTML] A cone-beam X-ray computed tomography data collection designed for machine learning
Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed
tomography (CT) datasets specifically designed for machine learning applications and high …
tomography (CT) datasets specifically designed for machine learning applications and high …
4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging
Objective: We investigate and develop optimization-based algorithms for accurate
reconstruction of four-dimensional (4D)-spectral-spatial (SS) images directly from data …
reconstruction of four-dimensional (4D)-spectral-spatial (SS) images directly from data …
Adversarial sparse-view CBCT artifact reduction
We present an effective post-processing method to reduce the artifacts from sparsely
reconstructed cone-beam CT (CBCT) images. The proposed method is based on the state-of …
reconstructed cone-beam CT (CBCT) images. The proposed method is based on the state-of …
[HTML][HTML] Tomographic reconstruction: General approach to fast back-projection algorithms
D Polevoy, M Gilmanov, D Kazimirov, M Chukalina… - Mathematics, 2023 - mdpi.com
Addressing contemporary challenges in computed tomography (CT) demands precise and
efficient reconstruction. This necessitates the optimization of CT methods, particularly by …
efficient reconstruction. This necessitates the optimization of CT methods, particularly by …
Are metal artefact reduction algorithms effective to correct cone beam CT artefacts arising from the exomass?
AP Candemil, B Salmon, DQ Freitas… - Dentomaxillofacial …, 2019 - academic.oup.com
The aim of this study was to evaluate the effectiveness of metal artefact reduction (MAR) in
cone beam CT (CBCT) artefacts arising from metallic objects in the exomass. A radiographic …
cone beam CT (CBCT) artefacts arising from metallic objects in the exomass. A radiographic …