Results 51 to 60 of about 1,957,229 (358)
Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing
It has been shown that iterative reweighted strategies will often improve the performance of many sparse reconstruction algorithms. Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) is a recently proposed method which iteratively enhances ...
Feng Wang+3 more
doaj +1 more source
Background: To compare a model-based iterative reconstruction (MBIR) versus a hybrid iterative reconstruction (HIR) for initial and final Alberta Stroke Program Early Ct Score (ASPECT) scoring in acute ischemic stroke (AIS).
Brieg Dissaux+3 more
doaj +1 more source
Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky+9 more
core +1 more source
A Multi-Grid Iterative Method for Photoacoustic Tomography [PDF]
Inspired by the recent advances on minimizing nonsmooth or bound-constrained convex functions on models using varying degrees of fidelity, we propose a line search multigrid (MG) method for full-wave iterative image reconstruction in photoacoustic ...
Holman, Sean, Javaherian, Ashkan
core +3 more sources
An iterative reconstruction of cosmological initial density fields [PDF]
We present an iterative method to reconstruct the linear-theory initial conditions from the late-time cosmological matter density field, with the intent of improving the recovery of the cosmic distance scale from the baryon acoustic oscillations (BAOs ...
Ryuichiro Hada, D. Eisenstein
semanticscholar +1 more source
Filtered Back-Projection (FBP) has become an outdated image reconstruction technique in new-generation positron emission tomography (PET)/computed tomography (CT) scanners.
Ashish Kumar Jha+5 more
doaj +1 more source
Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction
Conventional reconstruction methods for photoacoustic images are not suitable for the scenario of sparse sensing and geometrical limitation. To overcome these challenges and enhance the quality of reconstruction, several learning-based methods have ...
Ko-Tsung Hsu+2 more
doaj +1 more source
Family Constraining of Iterative Algorithms
In constraining iterative processes, the algorithmic operator of the iterative process is pre-multiplied by a constraining operator at each iterative step.
Censor, Yair+2 more
core +1 more source
Data Imputation with Iterative Graph Reconstruction
Effective data imputation demands rich latent ``structure" discovery capabilities from ``plain" tabular data. Recent advances in graph neural networks-based data imputation solutions show their structure learning potentials by translating tabular data as bipartite graphs.
Zhong, Jiajun, Ye, Weiwei, Gui, Ning
openaire +2 more sources
Image reconstruction using iterative transpose algorithm for optical tomography [PDF]
This paper describes a transpose algorithm for use with an optical tomography system. The measurement system consisted of two orthogonal arrays, each having ten parallel views, resulting in a total of twenty sensors.
Abd. Rahim, Ruzairi+3 more
core +1 more source