Beam hardening correction using length linearization

Daejoong Oh; Sewon Kim; Doohyun Park; Dosik Hwang

doi:10.1117/12.2254510

Beam hardening correction using length linearization

Daejoong Oh, Sewon Kim, Doohyun Park, Dosik Hwang

Department of Electrical and Electronic Engineering

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

Abstract

Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.

Original language	English
Title of host publication	Medical Imaging 2017
Subtitle of host publication	Physics of Medical Imaging
Editors	Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
Publisher	SPIE
ISBN (Electronic)	9781510607095
DOIs	https://doi.org/10.1117/12.2254510
Publication status	Published - 2017
Event	Medical Imaging 2017: Physics of Medical Imaging - Orlando, United States Duration: 2017 Feb 13 → 2017 Feb 16

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10132
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2017: Physics of Medical Imaging
Country	United States
City	Orlando
Period	17/2/13 → 17/2/16

Bibliographical note

Publisher Copyright:
© 2017 SPIE.

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

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10.1117/12.2254510

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title = "Beam hardening correction using length linearization",

abstract = "Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.",

author = "Daejoong Oh and Sewon Kim and Doohyun Park and Dosik Hwang",

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language = "English",

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Oh, D, Kim, S, Park, D & Hwang, D 2017, Beam hardening correction using length linearization. in TG Schmidt, JY Lo & TG Flohr (eds), Medical Imaging 2017: Physics of Medical Imaging., 101322J, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10132, SPIE, Medical Imaging 2017: Physics of Medical Imaging, Orlando, United States, 17/2/13. https://doi.org/10.1117/12.2254510

Beam hardening correction using length linearization. / Oh, Daejoong; Kim, Sewon; Park, Doohyun; Hwang, Dosik.

Medical Imaging 2017: Physics of Medical Imaging. ed. / Taly Gilat Schmidt; Joseph Y. Lo; Thomas G. Flohr. SPIE, 2017. 101322J (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132).

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

TY - GEN

T1 - Beam hardening correction using length linearization

AU - Oh, Daejoong

AU - Kim, Sewon

AU - Park, Doohyun

AU - Hwang, Dosik

PY - 2017

Y1 - 2017

N2 - Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.

AB - Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.

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PB - SPIE

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ER -

Beam hardening correction using length linearization

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