Results 331 to 340 of about 7,732,414 (358)
Some of the next articles are maybe not open access.
2009
We have seen that, when complete continuous X-ray data are available, then an attenuation-coefficient function f(x, y) can be reconstructed exactly using the filtered back-projection formula, Theorem 6.2.
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We have seen that, when complete continuous X-ray data are available, then an attenuation-coefficient function f(x, y) can be reconstructed exactly using the filtered back-projection formula, Theorem 6.2.
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Reconstruction of polygonal images
Journal of Applied Statistics, 1989Let T be a two-dimensional region, and let X be a surface dejined on T. The values of X on T, constitute an image, or pattern. The true value of X at any point on T cannot be directly observed, but data can be recorded which provide information about X.
Peter Clifford, R. D. Middleton
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2021
This chapter outlines the fundamentals of several image reconstruction approaches currently in use in X-ray tomography at synchrotron radiation facilities and at industrial X-ray CT scanners, clarifying both their proper use and points of caution in image reconstruction.
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This chapter outlines the fundamentals of several image reconstruction approaches currently in use in X-ray tomography at synchrotron radiation facilities and at industrial X-ray CT scanners, clarifying both their proper use and points of caution in image reconstruction.
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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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Image Reconstruction with Deep CNN for Mirrored Aperture Synthesis
IEEE Transactions on Geoscience and Remote Sensing, 2022Chengwang Xiao +5 more
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Algorithms for Image Reconstruction
2010Three-dimensional (3D) imaging is becoming one of the most important applications of radioactive materials in medicine. It offers good spatial resolution, a 3D insight into the human body, and a high sensitivity in the picomolar range because markers for biological processes can be detected well when labeled with radioactive materials. In addition, the
Christoph Hoeschen +2 more
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56th EAEG Meeting, 1994
According to ray theory, the traveltime T(R,S) between any source S and receiver R is related to the slowness distribution ŋ at any point X by the integral: T(R,S) = ∫ г(ŋ) ŋ(X)dl, where г(ŋ) is the ray path which yields the minimum traveltime and dl is the arc length.
S. C. Singh, C. H. Chapman
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According to ray theory, the traveltime T(R,S) between any source S and receiver R is related to the slowness distribution ŋ at any point X by the integral: T(R,S) = ∫ г(ŋ) ŋ(X)dl, where г(ŋ) is the ray path which yields the minimum traveltime and dl is the arc length.
S. C. Singh, C. H. Chapman
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Reconstructive Elasticity Imaging
1995Changes in soft tissue elasticity are usually related to some abnormal, pathological process. Because the Young’s modulus can differ by orders of magnitude between soft tissues,l there has been consistent interest in tissue elasticity. Unfortunately, no imaging modality, including ultrasound, nuclear magnetic resonance (MRI) and computed tomography (CT)
Stanislav Emelianov +3 more
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Deep learning for tomographic image reconstruction
Nature Machine Intelligence, 2020Ge Wang, J. C. Ye, B. D. Man
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Image Reconstruction with VITRUV
2007Imaging in optical interferometry is definitively the path to follow with the advent of interferometers with large aperture. The VLTI has an important way to play, since it is a unique interferometric site with 4 relocable 2m-class telescopes in addition to the 4 Very Large Telescopes.
Gilles Duvert +4 more
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