Original article
Long-Term Extrinsic Uniformity Analysis of Gamma Cameras
Yoon-Jae Kim, Woo-Young Jung*, and Dong-Hoon Lee
Department of Nuclear Medicine, Asan Medical Center, Seoul, Korea
Correspondence to Woo-Young Jung, Department of Nuclear Medicine, Asan Medical center, 388-1 Pungnap-2 dong, Songpa-gu, Seoul, 05505, Rep. of Korea, Tel : +82-2-3010-2104, E-mail : wyjung@amc.seoul.kr
Volume 27, Number 1, Article 12, May 2023. Korean J Nucl Med Technol 2023;27(1):12. https://doi.org/10.12972/kjnmt.20230012
Received on December 07, 2022, Revised on March 24, 2023, Accepted on March 28, 2023, Published on May 31, 2023.
Copyright © 2023 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: The long-term trend of extrinsic uniformity by type of gamma camera was analyzed, and the factors affecting uniformity were investigated. Based on this, the purpose was to predict the life of the gamma camera, pay attention to factors that affect uniformity, and obtain better quality images. Materials and methods: Four of the gamma cameras in operation at a senior general hospital in Seoul were selected and the trend of extrinsic uniformity from the first operation date to the present was analyzed. In order to minimize various factors affecting uniformity, a detailed analysis was conducted by calculating the monthly and annual average of the uniformity values. Results: Two Symbia E gamma cameras from SIEMENS, one Symbia Evo Excel gamma camera, and one Symbia Intevo16 gamma camera were selected and analyzed. The uniformity of Symbia E1 (2012 warehousing) changed unevenly, and the uniformity of Symbia E2 (2014 warehousing) changed according to the replacement cycle of 57Co sheet sources. The uniformity of Symbia Evo Excel (received in 2017) and Symbia Intevo 16 (received in 2017) was constant compared to Symbia E. Conclusion: The extrinsic uniformity of the gamma camera gradually increased over time. However, there was a difference in uniformity for each type of gamma camera, and there was a change in uniformity in which the cause could not be accurately identified. In order to improve the quality of the image, it is necessary to periodically check changes in uniformity and minimize factors that affect uniformity.
Keywords
Gamma Camera, Extrinsic Uniformity, 57Co Sheet Source