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Reconstruction in diffraction imaging
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1989The problem of reconstruction in imaging systems that are modeled using the Helmholtz wave equation (diffraction imaging) is addressed. A spectral analysis of the available diffraction data is presented to help develop algorithms and constraints on a diffraction imaging system's parameters for accurate reconstruction of the desired image.
M, Soumekh, J H, Choi
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Fast Image Reconstruction with an Event Camera
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2020Event cameras are powerful new sensors able to capture high dynamic range with microsecond temporal resolution and no motion blur. Their strength is detecting brightness changes (called events) rather than capturing direct brightness images; however ...
C. Scheerlinck +5 more
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Maximum Entropy Image Reconstruction
IEEE Transactions on Computers, 1977Two-dimensional digital image reconstruction is an important imaging process in many of the physical sciences. If the data are insufficient to specify a unique reconstruction, an additional criterion must be introduced, either implicitly or explicitly before the best estimate can be computed. Here we use a principle of maximum entropy, which has proven
Wernecke, Stephen J. +1 more
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Image reconstruction in intravascular photoacoustic imaging
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2011Intravascular photoacoustic (IVPA) imaging is a technique for visualizing atherosclerotic plaques with differential composition. Unlike conventional photoacoustic tomography scanning, where the scanning device rotates around the subject, the scanning aperture in IVPA imaging is enclosed within the imaged object.
Yae-lin, Sheu +3 more
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Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior
Computer Vision and Pattern Recognition, 2019Regularization is a fundamental technique to solve an ill-posed optimization problem robustly and is essential to reconstruct compressive hyperspectral images.
Lizhi Wang +4 more
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Echo-Planar Image Reconstruction
1998Echo-planar imaging (EPI), introduced by Mansfield in 1977 [1], permits the measurement of an entire magnetic resonance (MR) image in less than 100 ms. After a single excitation an appropriate gradient sequence encodes the magnetization repeatedly, thus filling the whole k-space.
Schmitt, F, Wielopolski, Piotr
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Image reconstruction — a tutorial
Computerized Medical Imaging and Graphics, 2001This paper is written for physicians and presents basic principles of image reconstruction in nuclear medicine. Both analytical and iterative methods are discussed without rigorous mathematics.
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Image Reconstruction Based on Convolutional Neural Network for Electrical Resistance Tomography
IEEE Sensors Journal, 2019Image reconstruction is a key problem for electrical resistance tomography (ERT). Because of the soft-field nature and the ill-posed problem in solving inverse problem, traditional image reconstruction methods cannot achieve high accuracy and the process
C. Tan, Shuhua Lv, F. Dong, M. Takei
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Reconstructed Wavefield Imaging
Proceedings, 2017Summary We propose and implement a novel imaging method, which is referred to as reconstructed wavefield imaging (RWI). The idea of RWI is to solve a partial differential equation (PDE) constrained optimization problem for reconstructing a more reliable source wavefield that satisfies the two-way wave equation and also best fits the recorded data at ...
C. Wang +4 more
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A Review on Deep Learning in Medical Image Reconstruction
Journal of the Operations Research Society of China, 2019Medical imaging is crucial in modern clinics to provide guidance to the diagnosis and treatment of diseases. Medical image reconstruction is one of the most fundamental and important components of medical imaging, whose major objective is to acquire high-
Haimiao Zhang, Bin Dong
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