Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT

Jing Wang, Anwei Chai, Lei Xing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

There are growing interests in using cone-beam computed tomography (CBCT) for patient treatment position setup and dose evaluation in radiation therapy. The repeated use of CBCT during the course of a treatment has raised concerns of extra radiation dose delivered to patients. One way to reduce radiation dose delivered to patients during CBCT procedure is to acquire CT projection data with a lower mAs level. However, the image quality of the projection image and the reconstructed CBCT image will degrade due to excessive quantum noise as a result of low mAs protocol. In this work, we first studied the noise properties of CBCT projection data from repeated scan and then improved low-dose CBCT image quality by restoring CBCT projection images based on an improved noise model of CBCT projection data. Analysis of repeated measurements show that noise is correlated among nearest neighbors in projection data, i.e., covariance matrix of projection data noise is non-diagonal. The covariance matrix of noise provides the knowledge of second-order statistics of noise, which may lead to more accurate estimation for statistical image reconstruction and restoration algorithm. We constructed the penalized weighted least-squares (PWLS) objective function by incorporating the noise correlation of CBCT projection data. The optimal solution of the line integrals is then estimated by minimizing the PWLS objective function. A quality assurance phantom was used to evaluate the presented algorithm for noise reduction in low-dose CBCT.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7258
DOIs
StatePublished - 2009
EventMedical Imaging 2009: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: Feb 9 2009Feb 12 2009

Other

OtherMedical Imaging 2009: Physics of Medical Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/9/092/12/09

Fingerprint

Cone-Beam Computed Tomography
Noise abatement
noise reduction
Tomography
Noise
Cones
cones
tomography
projection
dosage
Dosimetry
Covariance matrix
Least-Squares Analysis
Image reconstruction
Image quality
Patient treatment
Quantum noise
Radiation
Computer-Assisted Image Processing
Radiotherapy

Keywords

  • Cone-beam computed tomography (CBCT)
  • Low-dose
  • Noise correlation
  • Noise reduction
  • Penalized weighted least-squares (PWLS)

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Wang, J., Chai, A., & Xing, L. (2009). Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7258). [72582D] https://doi.org/10.1117/12.813891

Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT. / Wang, Jing; Chai, Anwei; Xing, Lei.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258 2009. 72582D.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, J, Chai, A & Xing, L 2009, Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7258, 72582D, Medical Imaging 2009: Physics of Medical Imaging, Lake Buena Vista, FL, United States, 2/9/09. https://doi.org/10.1117/12.813891
Wang J, Chai A, Xing L. Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258. 2009. 72582D https://doi.org/10.1117/12.813891
Wang, Jing ; Chai, Anwei ; Xing, Lei. / Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258 2009.
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