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 |
| Publisher | SPIE |
| Volume | 10132 |
| ISBN (Electronic) | 9781510607095 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Event | Medical Imaging 2017: Physics of Medical Imaging - Orlando, United States Duration: 2017 Feb 13 → 2017 Feb 16 |
Other
| Other | Medical Imaging 2017: Physics of Medical Imaging |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 17/2/13 → 17/2/16 |
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All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging
Cite this
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Beam hardening correction using length linearization. / Oh, Daejoong; Kim, Sewon; Park, Doohyun; Hwang, Dosik.
Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132 SPIE, 2017. 101322J.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 - 2017/1/1
Y1 - 2017/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=85020467575&partnerID=8YFLogxK
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U2 - 10.1117/12.2254510
DO - 10.1117/12.2254510
M3 - Conference contribution
AN - SCOPUS:85020467575
VL - 10132
BT - Medical Imaging 2017
PB - SPIE
ER -