Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease. [PDF]
BMC Med Inform Decis MakZhu L +9 more
europepmc +3 more sources
Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography using Radially Symmetric Expansion Functions [PDF]
, 2014 Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles.
Er Oraevsky +5 more
core +1 more source
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction [PDF]
, 2018 We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The approximate model introduces aliasing artefacts in the gradient information for
Arridge, Simon +6 more
core +2 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
3D reconstruction of magnetization from dichroic soft X-ray transmission tomography [PDF]
, 2018 The development of magnetic nanostructures for applications in spintronics requires methods capable of visualizing their magnetization. Soft X‐ray magnetic imaging combined with circular magnetic dichroism allows nanostructures up to 100–300 nm in ...
Alvarez-Prado, Luis Manuel +10 more
core +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
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
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
A Multi-Grid Iterative Method for Photoacoustic Tomography [PDF]
, 2016 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
Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography
, 2012 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