9 March 2017 Performance evaluation of algebraic reconstruction technique (ART) for prototype chest digital tomosynthesis (CDT) system
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Chest digital tomosynthesis (CDT) is a new 3D imaging technique that can be expected to improve the detection of subtle lung disease over conventional chest radiography. Algorithm development for CDT system is challenging in that a limited number of low-dose projections are acquired over a limited angular range. To confirm the feasibility of algebraic reconstruction technique (ART) method under variations in key imaging parameters, quality metrics were conducted using LUNGMAN phantom included grand-glass opacity (GGO) tumor. Reconstructed images were acquired from the total 41 projection images over a total angular range of ±20°. We evaluated contrast-to-noise ratio (CNR) and artifacts spread function (ASF) to investigate the effect of reconstruction parameters such as number of iterations, relaxation parameter and initial guess on image quality. We found that proper value of ART relaxation parameter could improve image quality from the same projection. In this study, proper value of relaxation parameters for zero-image (ZI) and back-projection (BP) initial guesses were 0.4 and 0.6, respectively. Also, the maximum CNR values and the minimum full width at half maximum (FWHM) of ASF were acquired in the reconstructed images after 20 iterations and 3 iterations, respectively. According to the results, BP initial guess for ART method could provide better image quality than ZI initial guess. In conclusion, ART method with proper reconstruction parameters could improve image quality due to the limited angular range in CDT system.
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Haenghwa Lee, Haenghwa Lee, Sunghoon Choi, Sunghoon Choi, Byungdu Jo, Byungdu Jo, Hyemi Kim, Hyemi Kim, Donghoon Lee, Donghoon Lee, Dohyeon Kim, Dohyeon Kim, Seungyeon Choi, Seungyeon Choi, Youngjin Lee, Youngjin Lee, Hee-Joung Kim, Hee-Joung Kim, } "Performance evaluation of algebraic reconstruction technique (ART) for prototype chest digital tomosynthesis (CDT) system", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101325V (9 March 2017); doi: 10.1117/12.2255647; https://doi.org/10.1117/12.2255647


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