Results 11 to 20 of about 1,826,590 (358)
Iterative poisson surface reconstruction (iPSR) for unoriented points [PDF]
Poisson surface reconstruction (PSR) remains a popular technique for reconstructing watertight surfaces from 3D point samples thanks to its efficiency, simplicity, and robustness.
Fei Hou+5 more
semanticscholar +1 more source
Joint application of hybrid iterative reconstruction and adaptive filters on neck-and-shoulder CT imaging: A clinical evaluation. [PDF]
Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Jin W+6 more
europepmc +2 more sources
Iterative Reconstruction of Signals on Graph [PDF]
We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or ...
Emanuele Brugnoli+2 more
openaire +5 more sources
Quantum Iterative Reconstruction for Abdominal Photon-counting Detector CT Improves Image Quality.
Background An iterative reconstruction (IR) algorithm was introduced for clinical photon-counting detector (PCD) CT. Purpose To investigate the image quality and the optimal strength level of a quantum IR algorithm (QIR; Siemens Healthcare) for virtual ...
T. Sartoretti+9 more
semanticscholar +1 more source
The aim of this study was to characterize image quality and to determine the optimal strength levels of a novel iterative reconstruction algorithm (quantum iterative reconstruction, QIR) for low-dose, ultra-high-resolution (UHR) photon-counting detector ...
T. Sartoretti+9 more
semanticscholar +1 more source
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar+5 more
doaj +1 more source
Background To assess the radiation dose and image quality of cardiac computed tomography angiography (CCTA) in an acute stroke imaging protocol using a deep learning reconstruction (DLR) method compared to a hybrid iterative reconstruction algorithm ...
A. Bernard+6 more
semanticscholar +1 more source
Usefulness of Model-Based Iterative Reconstruction in Brain CT as Compared With Hybrid Iterative Reconstruction [PDF]
Objective The aim of this study was to compare the contrast of gray to white matter between forward-projected model-based iterative reconstruction solution (FIRST) and hybrid iterative reconstruction (IR) by measuring computed tomography value of brain parenchyma.
Hiroshi Ito+10 more
openaire +3 more sources
GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles [PDF]
Traditionally, balloon-based radiosonde soundings are used to study the spatial distribution of atmospheric water vapour. However, this approach cannot be frequently employed due to its high cost. In contrast, GPS tomography technique can obtain water
P. Xia, P. Xia, C. Cai, Z. Liu
doaj +1 more source
Factors modulating 99mTc‐MAA planar lung dosimetry for 90Y radioembolization
Abstract Purpose To investigate the accuracy and biases of predicted lung shunt fraction (LSF) and lung dose (LD) calculations via 99mTc‐macro‐aggregated albumin (99mTc‐MAA) planar imaging for treatment planning of 90Y‐microsphere radioembolization.
Benjamin P. Lopez+4 more
wiley +1 more source