A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images

Shinkook Choi; Jongduk Baek

doi:10.1117/12.2293444

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images

Shinkook Choi, Jongduk Baek

School of Integrated Technology

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

1 Citation (Scopus)

Abstract

In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.

Original language	English
Title of host publication	Medical Imaging 2018
Subtitle of host publication	Image Processing
Editors	Elsa D. Angelini, Elsa D. Angelini, Bennett A. Landman
Publisher	SPIE
ISBN (Electronic)	9781510616370
DOIs	https://doi.org/10.1117/12.2293444
Publication status	Published - 2018
Event	Medical Imaging 2018: Image Processing - Houston, United States Duration: 2018 Feb 11 → 2018 Feb 13

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10574
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2018: Image Processing
Country/Territory	United States
City	Houston
Period	18/2/11 → 18/2/13

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017M2A2A6A02087175, 2017M2A2A4A01070302, 2017M2A2A6A01019663, 2015R1C1A1A01052268); MSIT(Ministry of Science and ICT), Korea, under the “ICT Consilience Creative program”(IITP-2017-2017-0-01015) supervised by the IITP(Institute for Information & communications Technology Promotion)

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1117/12.2293444

Cite this

@inproceedings{a2ae1d44778f4299902e4537630c4a15,

title = "A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images",

abstract = "In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.",

author = "Shinkook Choi and Jongduk Baek",

note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017M2A2A6A02087175, 2017M2A2A4A01070302, 2017M2A2A6A01019663, 2015R1C1A1A01052268); MSIT(Ministry of Science and ICT), Korea, under the “ICT Consilience Creative program”(IITP-2017-2017-0-01015) supervised by the IITP(Institute for Information & communications Technology Promotion) Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2018: Image Processing ; Conference date: 11-02-2018 Through 13-02-2018",

year = "2018",

doi = "10.1117/12.2293444",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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editor = "Angelini, {Elsa D.} and Angelini, {Elsa D.} and Landman, {Bennett A.}",

booktitle = "Medical Imaging 2018",

address = "United States",

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Choi, S & Baek, J 2018, A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images. in ED Angelini, ED Angelini & BA Landman (eds), Medical Imaging 2018: Image Processing., 105741Q, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10574, SPIE, Medical Imaging 2018: Image Processing, Houston, United States, 18/2/11. https://doi.org/10.1117/12.2293444

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images. / Choi, Shinkook; Baek, Jongduk.
Medical Imaging 2018: Image Processing. ed. / Elsa D. Angelini; Elsa D. Angelini; Bennett A. Landman. SPIE, 2018. 105741Q (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10574).

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

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AU - Choi, Shinkook

AU - Baek, Jongduk

N1 - Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017M2A2A6A02087175, 2017M2A2A4A01070302, 2017M2A2A6A01019663, 2015R1C1A1A01052268); MSIT(Ministry of Science and ICT), Korea, under the “ICT Consilience Creative program”(IITP-2017-2017-0-01015) supervised by the IITP(Institute for Information & communications Technology Promotion) Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

PY - 2018

Y1 - 2018

N2 - In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.

AB - In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.

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M3 - Conference contribution

AN - SCOPUS:85047367403

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2018

A2 - Angelini, Elsa D.

A2 - Landman, Bennett A.

PB - SPIE

T2 - Medical Imaging 2018: Image Processing

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ER -

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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