Introduction: Iterative image reconstruction of undersampled data from multiple coils has shown a huge potential for a wide range of applications during the last years [1,2]. While pronounced improvements in imaging speed were achieved with the proposed methods, the reconstruction times of most implementations were too long for online image reconstruction, which is necessary in order to facilit...

This paper proposes 4-D EIT image reconstruction for functional EIT measurements. The approach directly accounts for 3-D interslice spatial correlations and temporal correlations between images in successive data frames. Image reconstruction is posed in terms of an augmented image x̃ and measurement vector ỹ, which concatenate the values from the d previous and future frames. Image reconstructio...

für Naturforschung in cooperation with the Max Planck Society for the Advancement of Science under a Creative Commons Attribution 4.0 International License. Dieses Werk wurde im Jahr 2013 vom Verlag Zeitschrift für Naturforschung in Zusammenarbeit mit der Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. digitalisiert und unter folgender Lizenz veröffentlicht: Creative Commons Namen...

ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Hengyong Yu, who first introduced me to the wonderful world of CT image reconstruction. He devoted a great deal of time to instruct me throughout the years. His inspiration, constant support and valuable advice encouraged me to conquer the hardship both in research and life. I would also like to thank my co-advisor, Dr. Ge Wang, whose valua...

With the change of time arise the need to work on image processing. This paper gives work on two aspects of image. One Recovery or reconstruction of image and at the other end it is for object detection.This paper investigates the possibility of reconstruction of images. This paper is concerned with a removing corruption of an image and remove problem in image. We propose a new algorithm for so...

background: photon attenuation as an inevitable physical phenomenon influences on the diagnostic information of spect images and results to errors in accuracy of quantitative measurements. this can be corrected via different physical or mathematical approaches. as the correction equation in mathematical approaches is nonlinear, in this study a new method of linearization called ‘piece wise line...

Image Reconstruction in Electric Impedance Tomography (EIT) is an ill-posed problem. Ill-posedness affects the reconstruction in two ways: 1) the image is very sensitive to measurement noise, instrumentation and modeling errors 2) in order to reconstruct meaningful images regularization technique need to be used. This limits the ability to reconstruct sharp images. Traditionally image reconstru...

The problem of minimization of the number of measurements needed for digital image acquisition and reconstruction with a given accuracy is addressed. Basics of the sampling theory are outlined to show that the lower bound of signal sampling rate sufficient for signal reconstruction with a given accuracy is equal to the spectrum sparsity of the signal sparse approximation that has this accuracy....

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 physics, instrument response and measurement noise. However, to date, there have been few reported attempts to employ advanced iterative image rec...

a r t i c l e i n f o a b s t r a c t Synthetic Aperture Radar (SAR) provides high resolution images of terrain and target reflectivity. SAR systems are indispensable in many remote sensing applications. Phase errors due to uncompensated platform motion degrade resolution in reconstructed images. A multitude of autofocusing techniques has been proposed to estimate and correct phase errors in SA...