Investigation of a blind-deconvolution framework after noise reduction using a gamma camera in nuclear medicine imaging
- Authors
- Kim K.; Lee M.-H.; Lee Y.
- Issue Date
- Nov-2020
- Publisher
- Korean Nuclear Society
- Keywords
- Blind deconvolution; Gamma camera; Noise reduction; Nuclear medicine imaging; Quantitative evaluation of image performance
- Citation
- Nuclear Engineering and Technology, v.52, no.11, pp.2594 - 2600
- Journal Title
- Nuclear Engineering and Technology
- Volume
- 52
- Number
- 11
- Start Page
- 2594
- End Page
- 2600
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78277
- DOI
- 10.1016/j.net.2020.04.032
- ISSN
- 1738-5733
- Abstract
- A gamma camera system using radionuclide has a functional imaging technique and is frequently used in the field of nuclear medicine. In the gamma camera, it is extremely important to improve the image quality to ensure accurate detection of diseases. In this study, we designed a blind-deconvolution framework after a noise-reduction algorithm based on a non-local mean, which has been shown to outperform conventional methodologies with regard to the gamma camera system. For this purpose, we performed a simulation using the Monte Carlo method and conducted an experiment. The image performance was evaluated by visual assessment and according to the intensity profile, and a quantitative evaluation using a normalized noise-power spectrum was performed on the acquired image and the blind-deconvolution image after noise reduction. The result indicates an improvement in image performance for gamma camera images when our proposed algorithm is used. © 2020 Korean Nuclear Society
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 보건과학대학 > 방사선학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78277)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.