Iterative CT reconstruction using shearlet-based regularization [PDF]
, 2012 In computerized tomography, it is important to reduce the image noise without increasing the acquisition dose. Extensive research has been done into total variation minimization for image denoising and sparse-view reconstruction. However, TV minimization
Goossens, Bart +6 more
core +1 more source
Iterative Reconstruction of Signals on Graph [PDF]
IEEE Signal Processing Letters, 2020 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 +3 more sources
The Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting. [PDF]
PLoS ONE, 2015 To evaluate the effect of introduction of iterative reconstruction as a mandated software upgrade on radiation dosimetry in routine clinical practice over a range of computed tomography examinations.Random samples of scanning data were extracted from a ...
Rachael E Moorin +3 more
doaj +1 more source
Low-dose CT Reconstruction Algorithm Based on Iterative Asymmetric Blind Spot Network [PDF]
Jisuanji kexue, 2023 Aiming at the problem that the method of low-dose CT reconstruction by machine learning method relies too much on pairwise legends,a low-dose CT reconstruction algorithm based on iterative asymmetric blind spot network is proposed.Firstly,low-dose CT is ...
GUO Guangxing, YIN Guimei, LIU Chenxu, DUAN Yonghong, QIANG Yan, WANG Yanfei, WANG Tao
doaj +1 more source
Multiresolution spatiotemporal mechanical model of the heart as a prior to constrain the solution for 4D models of the heart. [PDF]
, 2019 In several nuclear cardiac imaging applications (SPECT and PET), images are formed by reconstructing tomographic data using an iterative reconstruction algorithm with corrections for physical factors involved in the imaging detection process and with ...
Gullberg, Grant T +6 more
core +2 more sources
ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network
Photonics, 2022 In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative reconstruction method is usually adopted for sparse-view CT.
Sukai Wang, Xuan Li, Ping Chen
doaj +1 more source
An improved reconstruction procedure for the correction of local magnification effects in three-dimensional atom-probe [PDF]
, 2007 A new 3DAP reconstruction procedure is proposed that accounts for the evaporation field of a secondary phase. It applies the existing cluster selection software to identify the atoms of the second phase and, subsequently, an iterative algorithm to ...
Blavette, D. +5 more
core +3 more sources
Approximate Message Passing Algorithm for Nonconvex Regularization
IEEE Access, 2019 In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang +4 more
doaj +1 more source
Viscoelastic modulus reconstruction using time harmonic vibrations [PDF]
, 2014 This paper presents a new iterative reconstruction method to provide high-resolution images of shear modulus and viscosity via the internal measurement of displacement fields in tissues.
Ammari, Habib +2 more
core +4 more sources
Direct 3D Tomographic Reconstruction and Phase-Retrieval of Far-Field Coherent Diffraction Patterns [PDF]
, 2019 We present an alternative numerical reconstruction algorithm for direct tomographic reconstruction of a sample refractive indices from the measured intensities of its far-field coherent diffraction patterns.
Andersen, Martin Skovgaard +3 more
core +2 more sources