Abstract
We propose a quantitative method to evaluate the ability of adaptive image filters for reducing noise to low-contrast objects in Multi-Detector Row Computed Tomography (MDCT). The digital phantom for evaluating the ability of a nonlinear noise reduction filter to a low-contrast object in a MDCT image was produced. The digital phantom consists of a water phantom image of MDCT and a bar pattern with a known contrast and spatial frequency. The edge-preserving adaptive filter for selectively eliminating noise in low-dose scanning known as the Quantum Denoising System developed by Toshiba Medical Systems was chosen as a nonlinear noise reduction filter for this paper. In this paper, two non-linear noise reduction filters, Q1 and Q2 in QDS were employed. By analyzing the power spectrum (PS) of a digital phantom, the filter performance as regards the contrast and spatial frequency of an object was investigated. The contrast-to-noise ratio from PS could express the feature of the filter briefly. That is, the validity of a filter can be shown based on the combined information of the contrast and spatial frequency of an object. Probably, this simple method will contribute to evaluating various noise reduction filters efficiently.
| Original language | English |
|---|---|
| Title of host publication | 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings |
| Pages | 160-164 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Batu Ferringhi, Penang, Malaysia Duration: May 17 2011 → May 18 2011 |
Other
| Other | 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 |
|---|---|
| Country | Malaysia |
| City | Batu Ferringhi, Penang |
| Period | 5/17/11 → 5/18/11 |
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Keywords
- computed tomography
- digital phantom
- low-contrast object
- noise reduction filter
- power spectrum
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
Evaluation of the ability of nonlinear noise reduction filter to the low-contrast object in Multi-Detector Row Computed Tomography using a digital phantom and power spectrum. / Kondo, S.; Goto, Sachiko; Hyodo, Yoshimi; Maruyama, Toshinori; Azuma, Y.; Matsuura, Ryutaro; Inamura, K.
2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings. 2011. p. 160-164 5962206.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluation of the ability of nonlinear noise reduction filter to the low-contrast object in Multi-Detector Row Computed Tomography using a digital phantom and power spectrum
AU - Kondo, S.
AU - Goto, Sachiko
AU - Hyodo, Yoshimi
AU - Maruyama, Toshinori
AU - Azuma, Y.
AU - Matsuura, Ryutaro
AU - Inamura, K.
PY - 2011
Y1 - 2011
N2 - We propose a quantitative method to evaluate the ability of adaptive image filters for reducing noise to low-contrast objects in Multi-Detector Row Computed Tomography (MDCT). The digital phantom for evaluating the ability of a nonlinear noise reduction filter to a low-contrast object in a MDCT image was produced. The digital phantom consists of a water phantom image of MDCT and a bar pattern with a known contrast and spatial frequency. The edge-preserving adaptive filter for selectively eliminating noise in low-dose scanning known as the Quantum Denoising System developed by Toshiba Medical Systems was chosen as a nonlinear noise reduction filter for this paper. In this paper, two non-linear noise reduction filters, Q1 and Q2 in QDS were employed. By analyzing the power spectrum (PS) of a digital phantom, the filter performance as regards the contrast and spatial frequency of an object was investigated. The contrast-to-noise ratio from PS could express the feature of the filter briefly. That is, the validity of a filter can be shown based on the combined information of the contrast and spatial frequency of an object. Probably, this simple method will contribute to evaluating various noise reduction filters efficiently.
AB - We propose a quantitative method to evaluate the ability of adaptive image filters for reducing noise to low-contrast objects in Multi-Detector Row Computed Tomography (MDCT). The digital phantom for evaluating the ability of a nonlinear noise reduction filter to a low-contrast object in a MDCT image was produced. The digital phantom consists of a water phantom image of MDCT and a bar pattern with a known contrast and spatial frequency. The edge-preserving adaptive filter for selectively eliminating noise in low-dose scanning known as the Quantum Denoising System developed by Toshiba Medical Systems was chosen as a nonlinear noise reduction filter for this paper. In this paper, two non-linear noise reduction filters, Q1 and Q2 in QDS were employed. By analyzing the power spectrum (PS) of a digital phantom, the filter performance as regards the contrast and spatial frequency of an object was investigated. The contrast-to-noise ratio from PS could express the feature of the filter briefly. That is, the validity of a filter can be shown based on the combined information of the contrast and spatial frequency of an object. Probably, this simple method will contribute to evaluating various noise reduction filters efficiently.
KW - computed tomography
KW - digital phantom
KW - low-contrast object
KW - noise reduction filter
KW - power spectrum
UR - http://www.scopus.com/inward/record.url?scp=80052137404&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052137404&partnerID=8YFLogxK
U2 - 10.1109/IST.2011.5962206
DO - 10.1109/IST.2011.5962206
M3 - Conference contribution
AN - SCOPUS:80052137404
SN - 9781612848969
SP - 160
EP - 164
BT - 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings
ER -