Application of sigmoidal optimization to reconstruct nuclear medicine image: Comparison with fi ltered back projection and iterative reconstruction method

신한백; 김무섭; Martin Law; Shih-Kien Djeng; 최민건; 최병욱; 강성민; 김동욱; 서태석; 윤도군

doi:https://doi.org/10.1016/j.net.2020.06.029

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자료유형: 학술저널

저자정보: 신한백 (연세대학교) 김무섭 (가톨릭대학교 의공학교실) Martin Law (Proton Therapy Pte Ltd) Shih-Kien Djeng (Proton Therapy Pte Ltd) 최민건 (가톨릭대학교(성의교정)) 최병욱 (대구가톨릭대학교) 강성민 (대구가톨릭대학교) 김동욱 (연세대학교) 서태석 (가톨릭대학교) 윤도군 (가톨릭대학교)

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제53권 제1호

발행연도: 2021.1

수록면: 258 - 265 (8page)

DOI: https://doi.org/10.1016/j.net.2020.06.029

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High levels for noise and a loss of true signal make the quantitative interpretation of nuclear medicine(NM) images difficult. An application of profile optimization using a sigmoidal function in this study wasused to acquire the NM images with high quality. And the images were acquired by using three kinds ofreconstruction method using each same sinogram: a standard filtered back-projection (FBP), an iterativereconstruction (IR) technique, and the sigmoidal function profile optimization (SFPO). Comparison ofimage according to reconstruction method was performed to show a superiority of the SFPO for imaging. The images reconstructed by using the SFPO showed an average of 1.49 times and of 1.17 times better incontrast than the results obtained using the standard FBP and the IR technique, respectively. Highersignal to noise ratios were obtained as an average of 12.30 times and of 3.77 times than results obtainedusing the standard FBP and the IR technique, respectively. This study confirms that reconstruction withSFPO (vs FBP and vs IR) can lead to better lesion detectability and characterization with noise reduction. Itcan be developed for future reconstruction technique for the NM imaging

#Sigmoid function #Profile optimization #PET #SPECT #Monte Carlo simulation

참고문헌 (36)

참고문헌 신청

L. Hongbo / 2016 / Postreconstruction filtering of 3D PET images by using weighted higher order singular value decomposition / Biomed. Eng. Online 15:102

S. Cherry / 2012 / Physics in Nuclear Medicine / Elsevier Health Sciences

M. Law / 2014 / Capability of 3D ordered subset expectation maximization (OSEM) reconstruction algorithm in performing half-time myocardial perfusion imaging studies / Radiological Society of North America 5

P. Bruyant / 2002 / Analytic and iterative reconstruction algorithms in SPECT / J. Nucl. Med 43:1343~1358

O. Grosser / 2015 / Optimization of SPECT-CT hybrid imaging using iterative image reconstruction for low-dose CT : a phantom study / PloS One 10:e0138658

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