Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans

This study evaluated the effect of pitch on 256-slice helical computed tomography (CT) scans. Cylindrical water phantoms (CWP) were measured using axial and helical scans with various pitch values. The surface dose distributions of CWP were measured, and reconstructed images were obtained using filt...

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Main Authors: Kenji Yamada, Yoshiki Kawata, Masafumi Amano, Hidenobu Suzuki, Masahide Tominaga, Motoharu Sasaki, Hikaru Nishiyama, Masafumi Harada, Noboru Niki
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/7/3472
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author Kenji Yamada
Yoshiki Kawata
Masafumi Amano
Hidenobu Suzuki
Masahide Tominaga
Motoharu Sasaki
Hikaru Nishiyama
Masafumi Harada
Noboru Niki
author_facet Kenji Yamada
Yoshiki Kawata
Masafumi Amano
Hidenobu Suzuki
Masahide Tominaga
Motoharu Sasaki
Hikaru Nishiyama
Masafumi Harada
Noboru Niki
author_sort Kenji Yamada
collection DOAJ
description This study evaluated the effect of pitch on 256-slice helical computed tomography (CT) scans. Cylindrical water phantoms (CWP) were measured using axial and helical scans with various pitch values. The surface dose distributions of CWP were measured, and reconstructed images were obtained using filtered back-projection (FBP) and iterative model reconstruction (IMR). The image noise in each reconstructed image was decomposed into a baseline component and another component that varied along the z-axis. The baseline component of the image noise was highest at the center of the reconstructed image and decreased toward the edges. The normalized 2D power spectra for each pitch were almost identically distributed. Furthermore, the ratios of the 2D power spectra for IMR and FBP at different pitch values were obtained. The magnitudes of the components varying along the z-axis were smallest at the center of the reconstructed image and increased toward the edge. The ratios of the 3D power spectra on the f<sub>x</sub> axis for IMR and FBP at different pitch values were obtained. The results showed that the effect of the pitch was related to the component that varied along the z-axis. Furthermore, the pitch had a smaller effect on IMR than on FBP.
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spelling doaj.art-b9a7a12d5c7f4de69990a3d31acae83d2023-11-17T17:33:03ZengMDPI AGSensors1424-82202023-03-01237347210.3390/s23073472Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography ScansKenji Yamada0Yoshiki Kawata1Masafumi Amano2Hidenobu Suzuki3Masahide Tominaga4Motoharu Sasaki5Hikaru Nishiyama6Masafumi Harada7Noboru Niki8Division of Clinical Technology, Tokushima University Hospital, Tokushima 7708503, JapanInstitute of Post-LED Photonics, Tokushima University, Tokushima 7708506, JapanDivision of Clinical Technology, Tokushima University Hospital, Tokushima 7708503, JapanInstitute of Post-LED Photonics, Tokushima University, Tokushima 7708506, JapanDepartment of Diagnostic Radiology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima 7708503, JapanDepartment of Therapeutic Radiology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima 7708503, JapanDepartment of Radiological Technology, Ehime University Hospital, Toon 7910295, JapanDepartment of Radiology and Radiation Oncology, Tokushima University, Tokushima 7708503, JapanFaculty of Science and Technology, Tokushima University, Tokushima 7708506, JapanThis study evaluated the effect of pitch on 256-slice helical computed tomography (CT) scans. Cylindrical water phantoms (CWP) were measured using axial and helical scans with various pitch values. The surface dose distributions of CWP were measured, and reconstructed images were obtained using filtered back-projection (FBP) and iterative model reconstruction (IMR). The image noise in each reconstructed image was decomposed into a baseline component and another component that varied along the z-axis. The baseline component of the image noise was highest at the center of the reconstructed image and decreased toward the edges. The normalized 2D power spectra for each pitch were almost identically distributed. Furthermore, the ratios of the 2D power spectra for IMR and FBP at different pitch values were obtained. The magnitudes of the components varying along the z-axis were smallest at the center of the reconstructed image and increased toward the edge. The ratios of the 3D power spectra on the f<sub>x</sub> axis for IMR and FBP at different pitch values were obtained. The results showed that the effect of the pitch was related to the component that varied along the z-axis. Furthermore, the pitch had a smaller effect on IMR than on FBP.https://www.mdpi.com/1424-8220/23/7/3472helical computed tomographypitchsurface dose distributionFBPIMRimage noise
spellingShingle Kenji Yamada
Yoshiki Kawata
Masafumi Amano
Hidenobu Suzuki
Masahide Tominaga
Motoharu Sasaki
Hikaru Nishiyama
Masafumi Harada
Noboru Niki
Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
Sensors
helical computed tomography
pitch
surface dose distribution
FBP
IMR
image noise
title Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
title_full Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
title_fullStr Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
title_full_unstemmed Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
title_short Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans
title_sort influence of pitch on surface dose distribution and image noise of computed tomography scans
topic helical computed tomography
pitch
surface dose distribution
FBP
IMR
image noise
url https://www.mdpi.com/1424-8220/23/7/3472
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