Super-Resolution and Sparse View CT Reconstruction Guangming Zang(B), Mohamed Aly, Ramzi Idoughi, Peter Wonka, and Wolfgang Heidrich King Abdullah University of Science and Technology, Thuwal, Saudi Arabia guangming.zang@kaust.edu.sa Abstract. We present a flexible framework for robust computed to...
Paper tables with annotated results for A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with both accelerated scan and reduced projection/back-projection calculation. Despite the rapid developments, image noise and artifacts still remain a major issue in the low dose protocol. In this paper, a deep learn...
limited view CTspectral CTRecent progress in X-ray CT is contributing to the advent of new clinical applications. A common challenge for these applications is the need for new image reconstruction methods that meet tight constraints in radiation dose and geometrical limitations in the acquisition. ...
Three-dimensional (3D) structural information of cardiac vessels is crucial for the diagnosis and treatment of cardiovascular disease. In clinical practice, interventionalists have to empirically infer 3D cardiovascular topology from multi-view X-ray ang
Improving image quality of sparse-view lung tumor CT images with U-Net Article Open access 03 May 2024 Abbreviations ALARA: As low as reasonably achievable AUC: Area under the receiver operating characteristic curve BMI: Body mass index CNR: Contrast-to-noise ratio CT: Computed tomograph...
Next, projection of each view was filtered and backprojected into a 3D matrix. All matrices constitute the VVBP raw data. The VVBP raw data was then processed by the VVBP domain CBCT scan data collection and task description This retrospective study was approved by the institutional review ...
Peer Review reports Background The concept of positron emission tomography (PET) imaging revolves around the measurement of a patient’sin vivoradiotracer distribution. The system detects pairs of gamma rays emitted indirectly by a positron-emitting radionuclide (tracer), which is introduced into the ...
To develop and investigate a deep learning approach that uses sparse-view acquisition in dedicated breast computed tomography for radiation dose reduction, we propose a framework that combines 3D sparse-view cone-beam acquisition with a multi-slice resid
www.nature.com/scientificreports OPEN Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan 1,2 ✉, Amir A. Khan1, Siddhartha Sikdar 1 & Parag V. Chitnis1 ✉ Photoacoustic tomography (PAT) is a non-ionizing imaging...