Projection data smoothing through noise-level weighted total variation regularization for low-dose computed tomography

Xiaojuan Deng, Yunsong Zhao, Hongwei Li

DOI: 10.3233/xst-180469
Published: 2019-05-07
Container: Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/xst-180469,
  title = {Projection data smoothing through noise-level weighted total variation regularization for low-dose computed tomography},
  author = {Xiaojuan Deng and Yunsong Zhao and Hongwei Li},
  year = {2019},
  journal = {Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics},
  doi = {10.3233/xst-180469},
  url = {https://doi.org/10.3233/xst-180469}
}

RIS

TY  - JOUR
TI  - Projection data smoothing through noise-level weighted total variation regularization for low-dose computed tomography
AU  - Xiaojuan Deng
AU  - Yunsong Zhao
AU  - Hongwei Li
PY  - 2019
JO  - Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics
DO  - 10.3233/xst-180469
UR  - https://doi.org/10.3233/xst-180469
ER  -

APA

Deng, X., Zhao, Y., & Li, H. (2019). Projection data smoothing through noise-level weighted total variation regularization for low-dose computed tomography. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics. https://doi.org/10.3233/xst-180469

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crossref · retrieved 2026-09-25T10:20:54.010Z