Results 61 to 70 of about 1,008,663 (311)
Super-resolution reconstruction for a single image based on self-similarity and compressed sensing
Super-resolution image reconstruction can achieve favorable feature extraction and image analysis. This study first investigated the image’s self-similarity and constructed high-resolution and low-resolution learning dictionaries; then, based on sparse ...
Qiang Yang, Huajun Wang
doaj +1 more source
Quantum-implemented selective reconstruction of high-resolution images
This paper proposes quantum image reconstruction. Input-triggered selection of an image among many stored ones, and its reconstruction if the input is occluded or noisy, has been simulated by a computer program implementable in a real quantum-physical ...
Bischof, Horst+3 more
core +1 more source
Efficient holoscopy image reconstruction
Holoscopy is a tomographic imaging technique that combines digital holography and Fourier-domain optical coherence tomography (OCT) to gain tomograms with diffraction limited resolution and uniform sensitivity over several Rayleigh lengths. The lateral image information is calculated from the spatial interference pattern formed by light scattered from ...
Dierck Hillmann+4 more
openaire +3 more sources
Abstract Purpose Four‐dimensional cone‐beam CT (4D CBCT) incorporates oversampling of 3D data to reconstruct multi‐phase CBCT data sets representing distinct phases of the breathing cycle based on a diaphragmatic correlate of respiratory motion. Motion artifacts and blurring can be reduced relative to three‐dimensional cone‐beam (3D CBCT), allowing ...
Colton Baley+4 more
wiley +1 more source
Abstract Purpose To generate high‐quality stereotactic radiosurgery (SRS) plans for single cranial lesions using 4Pi planning technique and compare these to our clinical “status quo” plans. Methods Eighteen vestibular schwannoma (VS) patients previously planned with Varian Eclipse RapidArc and treated on a Varian TrueBeam using 6FFF MV photon beams ...
Ganesh Narayanasamy+4 more
wiley +1 more source
Application of IMR, iDose4 and FBP Reconstruction Algorithms in CT Scanning of Rhinoplasty
Objective: To investigate the effects of IMR, iDose4 and FBP reconstruction algorithms on the image quality of multi-row spiral CT in the chest before costal cartilage rhinoplasty.
Tongjiang XU+7 more
doaj +1 more source
This work is to develop a general framework, namely analytical iterative reconstruction (AIR) method, to incorporate analytical reconstruction (AR) method into iterative reconstruction (IR) method, for enhanced CT image quality and reconstruction ...
Gao, Hao
core +1 more source
Abstract Purpose This study aims to evaluate how different gantry angles, breathing rates (BPM), cine image speeds, and tracking algorithms affect beam on/off latency and the subsequent impact on target dose for a 0.35T MR‐Linac with a 6 MV FFF beam.
Mateb Al Khalifa+4 more
wiley +1 more source
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley +1 more source
The Concept of Causality in Image Reconstruction [PDF]
Causal images in emission tomography are defined as those which could have generated the data by the statistical process that governs the physics of the measurement. The concept of causality was previously applied to deciding when to stop the MLE iterative procedure in PET.
Llacer, J., Veklerov, E., Nunez, J.
openaire +3 more sources