Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives

Haewon Nam; Jongduk Baek

doi:10.1109/NSSMIC.2015.7582157

Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives

Haewon Nam, Jongduk Baek

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

High-density objects such as metal prostheses, surgical clips, or dental fillings generate streak-like artifacts in computed tomography images. In this study, we present a novel method for cone-beam CT metal artifact reduction by approximate missing information into the corrupted sinogram. We used sinogram decomposition to compute the structural tensor of the sinogram to estimate the direction. The proposed algorithm consists of two main steps. The first step decomposes the sinogram to estimate rough structure of the sinogram on the metal corrupted part. Using the decomposed sinogram, we estimate the missing sinogram on the second part. We compared the result of our algorithm with metal artifact reduction with different interpolation methods. We showed that our algorithm outperformed other interpolation algorithms such as linear, moving least squares, and adaptive moving least squares algorithms.

Original language	English
Title of host publication	2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467398626
DOIs	https://doi.org/10.1109/NSSMIC.2015.7582157
Publication status	Published - 2016 Oct 3
Event	2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States Duration: 2015 Oct 31 → 2015 Nov 7

Publication series

Name	2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

Other

Other	2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
Country/Territory	United States
City	San Diego
Period	15/10/31 → 15/11/7

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging
Instrumentation

Access to Document

10.1109/NSSMIC.2015.7582157

Cite this

Nam, H., & Baek, J. (2016). Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 Article 7582157 (2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2015.7582157

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title = "Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives",

abstract = "High-density objects such as metal prostheses, surgical clips, or dental fillings generate streak-like artifacts in computed tomography images. In this study, we present a novel method for cone-beam CT metal artifact reduction by approximate missing information into the corrupted sinogram. We used sinogram decomposition to compute the structural tensor of the sinogram to estimate the direction. The proposed algorithm consists of two main steps. The first step decomposes the sinogram to estimate rough structure of the sinogram on the metal corrupted part. Using the decomposed sinogram, we estimate the missing sinogram on the second part. We compared the result of our algorithm with metal artifact reduction with different interpolation methods. We showed that our algorithm outperformed other interpolation algorithms such as linear, moving least squares, and adaptive moving least squares algorithms.",

author = "Haewon Nam and Jongduk Baek",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 ; Conference date: 31-10-2015 Through 07-11-2015",

year = "2016",

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doi = "10.1109/NSSMIC.2015.7582157",

language = "English",

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Nam, H & Baek, J 2016, Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives. in 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015., 7582157, 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015, San Diego, United States, 15/10/31. https://doi.org/10.1109/NSSMIC.2015.7582157

Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives. / Nam, Haewon; Baek, Jongduk.
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7582157 (2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives

AU - Nam, Haewon

AU - Baek, Jongduk

PY - 2016/10/3

Y1 - 2016/10/3

N2 - High-density objects such as metal prostheses, surgical clips, or dental fillings generate streak-like artifacts in computed tomography images. In this study, we present a novel method for cone-beam CT metal artifact reduction by approximate missing information into the corrupted sinogram. We used sinogram decomposition to compute the structural tensor of the sinogram to estimate the direction. The proposed algorithm consists of two main steps. The first step decomposes the sinogram to estimate rough structure of the sinogram on the metal corrupted part. Using the decomposed sinogram, we estimate the missing sinogram on the second part. We compared the result of our algorithm with metal artifact reduction with different interpolation methods. We showed that our algorithm outperformed other interpolation algorithms such as linear, moving least squares, and adaptive moving least squares algorithms.

AB - High-density objects such as metal prostheses, surgical clips, or dental fillings generate streak-like artifacts in computed tomography images. In this study, we present a novel method for cone-beam CT metal artifact reduction by approximate missing information into the corrupted sinogram. We used sinogram decomposition to compute the structural tensor of the sinogram to estimate the direction. The proposed algorithm consists of two main steps. The first step decomposes the sinogram to estimate rough structure of the sinogram on the metal corrupted part. Using the decomposed sinogram, we estimate the missing sinogram on the second part. We compared the result of our algorithm with metal artifact reduction with different interpolation methods. We showed that our algorithm outperformed other interpolation algorithms such as linear, moving least squares, and adaptive moving least squares algorithms.

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M3 - Conference contribution

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T3 - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

BT - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

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Nam H, Baek J. Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7582157. (2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015). doi: 10.1109/NSSMIC.2015.7582157

Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives

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