Sinogram smoothing with bilateral filtering for low-dose CT

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

12 Citations (Scopus)

Abstract

Optimal noise control is critical for dose reduction in CT. In this work, we investigated the use of a locally-adaptive method for noise reduction in low-dose CT. This method is based upon bilateral filtering, which smoothes the projection data using a weighted average in a local neighborhood, where the weights are determined according to both the spatial proximity and intensity similarity between the center pixel and the neighboring pixels. This filtering is locally adaptive and can preserve important edge information in the sinogram, thus without significantly sacrificing the spatial resolution. It is closely related to anisotropic diffusion, but is significantly faster. More importantly, a CT noise model can be readily incorporated in the filtering and denoising process. We have evaluated the noise-resolution properties of the bilateral filtering in a phantom study and a preliminary patient study with contrast-enhanced abdominal CT exams. The results demonstrated that bilateral filtering can achieve a better noise-resolution tradeoff than a series of commercial reconstruction kernels. This improvement on noise-resolution properties can be used for improving the image quality in low-dose CT and can also be translated to substantial dose reduction.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6913
DOIs
StatePublished - 2008
EventMedical Imaging 2008 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 18 2008Feb 21 2008

Other

OtherMedical Imaging 2008 - Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/18/082/21/08

Fingerprint

Pixels
Acoustic variables control
Noise abatement
Image quality

Keywords

  • Anisotropic diffusion
  • Bilateral filtering
  • CT
  • Low-dose CT
  • Noise reduction

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Yu, L., Manduca, A., Trazasko, J. D., Khaylova, N., Kofler, J. M., McCollough, C. H., & Fletcher, J. G. (2008). Sinogram smoothing with bilateral filtering for low-dose CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6913). [691329] https://doi.org/10.1117/12.772084

Sinogram smoothing with bilateral filtering for low-dose CT. / Yu, Lifeng; Manduca, Armando; Trazasko, Joshua D; Khaylova, Natalia; Kofler, James M.; McCollough, Cynthia H; Fletcher, Joel Garland.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008. 691329.

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

Yu, L, Manduca, A, Trazasko, JD, Khaylova, N, Kofler, JM, McCollough, CH & Fletcher, JG 2008, Sinogram smoothing with bilateral filtering for low-dose CT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6913, 691329, Medical Imaging 2008 - Physics of Medical Imaging, San Diego, CA, United States, 2/18/08. https://doi.org/10.1117/12.772084
Yu L, Manduca A, Trazasko JD, Khaylova N, Kofler JM, McCollough CH et al. Sinogram smoothing with bilateral filtering for low-dose CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913. 2008. 691329 https://doi.org/10.1117/12.772084
Yu, Lifeng ; Manduca, Armando ; Trazasko, Joshua D ; Khaylova, Natalia ; Kofler, James M. ; McCollough, Cynthia H ; Fletcher, Joel Garland. / Sinogram smoothing with bilateral filtering for low-dose CT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008.
@inproceedings{e924f84e026f4a0d9d7caca6897d06bb,
title = "Sinogram smoothing with bilateral filtering for low-dose CT",
abstract = "Optimal noise control is critical for dose reduction in CT. In this work, we investigated the use of a locally-adaptive method for noise reduction in low-dose CT. This method is based upon bilateral filtering, which smoothes the projection data using a weighted average in a local neighborhood, where the weights are determined according to both the spatial proximity and intensity similarity between the center pixel and the neighboring pixels. This filtering is locally adaptive and can preserve important edge information in the sinogram, thus without significantly sacrificing the spatial resolution. It is closely related to anisotropic diffusion, but is significantly faster. More importantly, a CT noise model can be readily incorporated in the filtering and denoising process. We have evaluated the noise-resolution properties of the bilateral filtering in a phantom study and a preliminary patient study with contrast-enhanced abdominal CT exams. The results demonstrated that bilateral filtering can achieve a better noise-resolution tradeoff than a series of commercial reconstruction kernels. This improvement on noise-resolution properties can be used for improving the image quality in low-dose CT and can also be translated to substantial dose reduction.",
keywords = "Anisotropic diffusion, Bilateral filtering, CT, Low-dose CT, Noise reduction",
author = "Lifeng Yu and Armando Manduca and Trazasko, {Joshua D} and Natalia Khaylova and Kofler, {James M.} and McCollough, {Cynthia H} and Fletcher, {Joel Garland}",
year = "2008",
doi = "10.1117/12.772084",
language = "English (US)",
isbn = "9780819470973",
volume = "6913",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - Sinogram smoothing with bilateral filtering for low-dose CT

AU - Yu, Lifeng

AU - Manduca, Armando

AU - Trazasko, Joshua D

AU - Khaylova, Natalia

AU - Kofler, James M.

AU - McCollough, Cynthia H

AU - Fletcher, Joel Garland

PY - 2008

Y1 - 2008

N2 - Optimal noise control is critical for dose reduction in CT. In this work, we investigated the use of a locally-adaptive method for noise reduction in low-dose CT. This method is based upon bilateral filtering, which smoothes the projection data using a weighted average in a local neighborhood, where the weights are determined according to both the spatial proximity and intensity similarity between the center pixel and the neighboring pixels. This filtering is locally adaptive and can preserve important edge information in the sinogram, thus without significantly sacrificing the spatial resolution. It is closely related to anisotropic diffusion, but is significantly faster. More importantly, a CT noise model can be readily incorporated in the filtering and denoising process. We have evaluated the noise-resolution properties of the bilateral filtering in a phantom study and a preliminary patient study with contrast-enhanced abdominal CT exams. The results demonstrated that bilateral filtering can achieve a better noise-resolution tradeoff than a series of commercial reconstruction kernels. This improvement on noise-resolution properties can be used for improving the image quality in low-dose CT and can also be translated to substantial dose reduction.

AB - Optimal noise control is critical for dose reduction in CT. In this work, we investigated the use of a locally-adaptive method for noise reduction in low-dose CT. This method is based upon bilateral filtering, which smoothes the projection data using a weighted average in a local neighborhood, where the weights are determined according to both the spatial proximity and intensity similarity between the center pixel and the neighboring pixels. This filtering is locally adaptive and can preserve important edge information in the sinogram, thus without significantly sacrificing the spatial resolution. It is closely related to anisotropic diffusion, but is significantly faster. More importantly, a CT noise model can be readily incorporated in the filtering and denoising process. We have evaluated the noise-resolution properties of the bilateral filtering in a phantom study and a preliminary patient study with contrast-enhanced abdominal CT exams. The results demonstrated that bilateral filtering can achieve a better noise-resolution tradeoff than a series of commercial reconstruction kernels. This improvement on noise-resolution properties can be used for improving the image quality in low-dose CT and can also be translated to substantial dose reduction.

KW - Anisotropic diffusion

KW - Bilateral filtering

KW - CT

KW - Low-dose CT

KW - Noise reduction

UR - http://www.scopus.com/inward/record.url?scp=43149118392&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=43149118392&partnerID=8YFLogxK

U2 - 10.1117/12.772084

DO - 10.1117/12.772084

M3 - Conference contribution

AN - SCOPUS:43149118392

SN - 9780819470973

VL - 6913

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -