Results 321 to 330 of about 7,732,414 (358)
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AJR. American journal of roentgenology, 2020
OBJECTIVE. The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic CT of the abdomen. MATERIALS AND METHODS.
C. Jensen+7 more
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OBJECTIVE. The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic CT of the abdomen. MATERIALS AND METHODS.
C. Jensen+7 more
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Dual-Path Attention Network for Compressed Sensing Image Reconstruction
IEEE Transactions on Image Processing, 2020Although deep neural network methods achieved much success in compressed sensing image reconstruction in recent years, they still have some issues, especially in preserving texture details.
Yubao Sun+4 more
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Super-resolution image reconstruction: a technical overview
IEEE Signal Processing Magazine, 2003A new approach toward increasing spatial resolution is required to overcome the limitations of the sensors and optics manufacturing technology. One promising approach is to use signal processing techniques to obtain an high-resolution (HR) image (or ...
S. Park, Min Kyu Park, M. Kang
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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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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 of tubulin hoops
Journal of Ultrastructure Research, 1981The two-dimensional projected structure of tubulin hoops is reconstructed at a resolution of 1.6 nm from electron images of negatively stained specimens taken at a low electron dose. Like most tubulin aggregates, the hoops consist of protofilaments. A unique feature of hoops is the grouping of protofilaments into triplets.
Mandelkow, E., Mandelkow, E.
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IEEE Sensors Journal, 2020
The linear back projection (LBP) algorithm is often used for real-time online image reconstruction of electrical capacitance tomography (ECT) due to its high speed.
Jin Zheng, Lihui Peng
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The linear back projection (LBP) algorithm is often used for real-time online image reconstruction of electrical capacitance tomography (ECT) due to its high speed.
Jin Zheng, Lihui Peng
semanticscholar +1 more source
Advances in PET Image Reconstruction
PET Clinics, 2007Until recently, the most widely used methods for image reconstruction were direct analytic techniques. Iterative techniques, although computationally much more intensive, produce improved images (principally arising from more accurate modeling of the acquired projection data), enabling these techniques to replace analytic techniques not only in ...
Reader, A. J., Zaidi, H.
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Image Reconstruction is a New Frontier of Machine Learning
IEEE Transactions on Medical Imaging, 2018Over past several years, machine learning, or more generally artificial intelligence, has generated overwhelming research interest and attracted unprecedented public attention.
Ge Wang+3 more
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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 ...
G. Martin+4 more
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