Korean Journal of Nuclear Medicine Technology (Korean J Nucl Med Technol)

Open access, Peer Reviewed

Indexed in KCI, DOAJ

pISSN 1229-9901
eISSN 2982-8406

Original article

The feasibility of algorithm for iterative metal artifact reduction (iMAR) using customized 3D printing phantom based on the SiPM PET/CT scanner

Min-Gyu Lee1, Chanrok Park2

1Dept. of nuclear medicine, Uijeongbu Eulji Medical Center, Gyonggi, South Korea
2Dept. of Radiological Science, Eulji University, Gyonggi, South Korea

Correspondence to Chanrok Park, DDepartment of Radiological Science, Eulji University, 553, Sanseong-daero, Sujeong-gu, Seongnamsi, Gyeonggi, 13135, Republic of Korea, Tel: +82-31-740-7185, E-mail: tigeaglepcr@eulji.ac.kr

Volume 28, Number 1, Article 6, May 2024. Korean J Nucl Med Technol 2024;28(1):6. https://doi.org/10.12972/kjnmt.20240006
Received on November 21, 2023, Revised on November 28, 2023, Accepted on December 14, 2023, Published on May 31, 2024.
Copyright © 2024 Author(s). This is an Open Access article distributed under the terms of the Creative Commons CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose: To improve the image quality in positron emission tomography (PET), the attenuation correction technique based on the computed tomography (CT) data is important process. However, the artifact is caused by metal material during PET/CT scan, and the image quality is degraded. Therefore, the purpose of this study was to evaluate image quality according to with and without iterative metal artifact reduction (iMAR) algorithm using customized 3D printing phantom. Materials and Methods: The Hoffman and Derenzo phantoms were designed. To protect the gamma ray transmission and express the metal portion, lead substance was located to the surface. The SiPM based PET/CT was used for acquisition of PET images according to application with and without iMAR algorithm. The quantitative methods were used by signal to noise ratio (SNR), coefficient of variation (COV), and contrast to noise ratio (CNR). Results and Discussion: The results shows that the image quality applying iMAR algorithm was higher 1.15, 1.19, and 1.11 times than image quality without iMAR algorithm for SNR, COV, and CNR. Conclusion: In conclusion, the iMAR algorithm was useful for improvement of image quality by reducing the metal artifact lesion.
Keywords

Iterative metal artifact reduction (iMAR) algorithm, Positron emission tomography, Nuclear medicine, Quantitative analysis, 3D printing technique

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