To improve the CT image degraded by radiographic noise (such as quantum mottle), we propose a method based on the wavelet transform modulus sum (WTMS). The noise and regular parts of a signal can be observed by tracing the evolution of its WTMS across scales. Our results show that most of the quantum mottle in the projections of Shepp-Logan phantom has been removed by the proposed method with the supposed cranium well preserved. The denoised CT images show good signal to noise ratio in the region of interest. We also have investigated the relation between the number of X-ray photons and the quality of images reconstructed from denoised projections. From experimental results, this method shows the possibility to reduce a patient's dose about 1/10 with the same visual quality.
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Yi-Qiang YANG, Nobuyuki NAKAMORI, Yasuo YOSHIDA, "Improvement of CT Image Degraded by Quantum Mottle Using Singularity Detection" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 1, pp. 123-130, January 2003, doi: .
Abstract: To improve the CT image degraded by radiographic noise (such as quantum mottle), we propose a method based on the wavelet transform modulus sum (WTMS). The noise and regular parts of a signal can be observed by tracing the evolution of its WTMS across scales. Our results show that most of the quantum mottle in the projections of Shepp-Logan phantom has been removed by the proposed method with the supposed cranium well preserved. The denoised CT images show good signal to noise ratio in the region of interest. We also have investigated the relation between the number of X-ray photons and the quality of images reconstructed from denoised projections. From experimental results, this method shows the possibility to reduce a patient's dose about 1/10 with the same visual quality.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_1_123/_p
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@ARTICLE{e86-d_1_123,
author={Yi-Qiang YANG, Nobuyuki NAKAMORI, Yasuo YOSHIDA, },
journal={IEICE TRANSACTIONS on Information},
title={Improvement of CT Image Degraded by Quantum Mottle Using Singularity Detection},
year={2003},
volume={E86-D},
number={1},
pages={123-130},
abstract={To improve the CT image degraded by radiographic noise (such as quantum mottle), we propose a method based on the wavelet transform modulus sum (WTMS). The noise and regular parts of a signal can be observed by tracing the evolution of its WTMS across scales. Our results show that most of the quantum mottle in the projections of Shepp-Logan phantom has been removed by the proposed method with the supposed cranium well preserved. The denoised CT images show good signal to noise ratio in the region of interest. We also have investigated the relation between the number of X-ray photons and the quality of images reconstructed from denoised projections. From experimental results, this method shows the possibility to reduce a patient's dose about 1/10 with the same visual quality.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Improvement of CT Image Degraded by Quantum Mottle Using Singularity Detection
T2 - IEICE TRANSACTIONS on Information
SP - 123
EP - 130
AU - Yi-Qiang YANG
AU - Nobuyuki NAKAMORI
AU - Yasuo YOSHIDA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2003
AB - To improve the CT image degraded by radiographic noise (such as quantum mottle), we propose a method based on the wavelet transform modulus sum (WTMS). The noise and regular parts of a signal can be observed by tracing the evolution of its WTMS across scales. Our results show that most of the quantum mottle in the projections of Shepp-Logan phantom has been removed by the proposed method with the supposed cranium well preserved. The denoised CT images show good signal to noise ratio in the region of interest. We also have investigated the relation between the number of X-ray photons and the quality of images reconstructed from denoised projections. From experimental results, this method shows the possibility to reduce a patient's dose about 1/10 with the same visual quality.
ER -