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Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging
Bioengineering, 2023 Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu +6 more
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Filtering in SPECT Image Reconstruction [PDF]
International Journal of Biomedical Imaging, 2011 Single photon emission computed tomography (SPECT) imaging is widely implemented in nuclear medicine as its clinical role in the diagnosis and management of several diseases is, many times, very helpful (e.g., myocardium perfusion imaging). The quality of SPECT images are degraded by several factors such as noise because of the limited number of counts,
Maria Lyra, Agapi Ploussi
openaire +4 more sources
Sensors, 2018 Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster.
Jin Zheng, Jinku Li, Yi Li, Lihui Peng
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High numerical aperture holographic microscopy reconstruction with extended z range [PDF]
, 2015 An holographic microscopy reconstruction method compatible with high numerical aperture microscope objective (MO) up to NA=1.4 is proposed. After off axis and reference field curvature corrections, and after selection of the +1 grating order holographic ...
Donnarumma, Dario +3 more
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Simulation of 3D Image Reconstruction in Rigid body Motion
MATEC Web of Conferences, 2018 3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid ...
Chen Huihong, Li Shiming
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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
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EURASIP Journal on Image and Video Processing, 2018 Considering the non-uniqueness and instability of concrete defect detection in construction engineering, ultrasonic time of flight data and maximum likelihood expectation maximization algorithm were proposed to improve the readability of the ultrasonic ...
Honghui Fan, Hongjin Zhu
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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A Monte Carlo Template based analysis for Air-Cherenkov Arrays [PDF]
, 2014 We present a high-performance event reconstruction algorithm: an Image Pixel-wise fit for Atmospheric Cherenkov Telescopes (ImPACT). The reconstruction algorithm is based around the likelihood fitting of camera pixel amplitudes to an expected image ...
Hinton, J. A., Parsons, R. D.
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SOWAT: Speckle Observations With Alleviated Turbulence
, 2019 Adaptive optics (AO) systems and image reconstruction algorithms are indispensable tools when it comes to high-precision astrometry. In this paper, we analyze the potential of combining both techniques, i.e.
Bosco, Felix +2 more
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