Sparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization

The sparse view problem of image reconstruction encountered in computed tomography (CT) is an important research issue due to its considerable potential in lowering radiation dose. Among the researches, the total variation (TV) method is especially effective in sparse view CT reconstruction for its...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.57400-57413
Hauptverfasser:	Qu, Zhaoyan, Yan, Ximing, Pan, Jinxiao, Chen, Ping
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coefficients Computed tomography Computed tomography (CT) Discrete wavelet transforms Image edge detection Image quality Image reconstruction iterative image reconstruction Iterative methods Medical imaging Noise reduction Optimization Production methods Radiation dosage Regularization sparse view problem total variation wavelet frame
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