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Sparse MRI and CT Reconstruction

2017
Sparse signal reconstruction is of the utmost importance for efficient medical imaging, conducting accurate screening for security and inspection, and for non-destructive testing. The sparsity of the signal is dictated by either feasibility, or the cost and the screening time constraints of the system.
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Iterative reconstruction of low-dose CT based on differential sparse

Biomedical Signal Processing and Control, 2023
Siyu Lu   +6 more
semanticscholar   +1 more source

Reconstructing sparse trigonometric functions

ACM Communications in Computer Algebra, 2011
Cuyt, Annie A.M., Lee, Wen-Shin
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Sparse-Prony FRI signal reconstruction

Signal, Image and Video Processing, 2023
P. Sudhakar Reddy   +2 more
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Sparse sampling photoacoustic reconstruction with group sparse dictionary learning

2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA), 2023
Zhimin Zhang   +4 more
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A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network

Acta Mechanica Sinica, 2022
Shengfeng Xu   +5 more
semanticscholar   +1 more source

Session TA3b: Sparse reconstruction

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
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Source Estimation Using Coprime Array: A Sparse Reconstruction Perspective

IEEE Sensors Journal, 2017
Zhiguo Shi   +4 more
semanticscholar   +1 more source

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