Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging

Xin Liu, Andrew N. Primak, Lifeng Yu, Hua Li, James D. Krier, Lilach O Lerman, Cynthia H McCollough

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

10 Citations (Scopus)

Abstract

In this paper, we demonstrate a methodology for quantitative evaluation of noise reduction algorithms for very low-dose (1/10 th typical dose) renal CT perfusion imaging. Three types of noise reduction algorithms are evaluated, including the commonly used low pass filtering, edge-preserving algorithms, and spatial-temporal filtering algorithms, such as recently introduced local highly constrained back projection (HYPR-LR) technique and multi-band filtering (MBF). The performance of these noise reduction methods was evaluated in terms of background signal-to-noise ratio (SNR), spatial resolution, fidelity of the time-attenuation curves of renal cortex, and computational speed. The spatial resolution was quantified by an on-scene modulation transfer function (MTF) measurement method. The fidelity of time-attenuation curves was quantified by statistical analysis using a Chi-square test. The results indicate that algorithms employing spatial-temporal correlations of images, such as HYPR and MBF.

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

Perfusion Imaging
Noise abatement
noise reduction
Noise
Kidney
Imaging techniques
dosage
evaluation
spatial resolution
attenuation
cortexes
Optical transfer function
Signal-To-Noise Ratio
modulation transfer function
curves
Chi-Square Distribution
statistical analysis
preserving
Signal to noise ratio
Statistical methods

Keywords

  • Algorithm
  • Computed tomography
  • Low dose imaging
  • Noise reduction

ASJC Scopus subject areas

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

Cite this

Liu, X., Primak, A. N., Yu, L., Li, H., Krier, J. D., Lerman, L. O., & McCollough, C. H. (2009). Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7258). [72581T] https://doi.org/10.1117/12.813777

Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. / Liu, Xin; Primak, Andrew N.; Yu, Lifeng; Li, Hua; Krier, James D.; Lerman, Lilach O; McCollough, Cynthia H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258 2009. 72581T.

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

Liu, X, Primak, AN, Yu, L, Li, H, Krier, JD, Lerman, LO & McCollough, CH 2009, Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7258, 72581T, Medical Imaging 2009: Physics of Medical Imaging, Lake Buena Vista, FL, United States, 2/9/09. https://doi.org/10.1117/12.813777
Liu X, Primak AN, Yu L, Li H, Krier JD, Lerman LO et al. Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258. 2009. 72581T https://doi.org/10.1117/12.813777
Liu, Xin ; Primak, Andrew N. ; Yu, Lifeng ; Li, Hua ; Krier, James D. ; Lerman, Lilach O ; McCollough, Cynthia H. / Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258 2009.
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