Abstract
Size and density measurements of objects undertaken using computed tomography (CT) are clinically significant for diagnosis. To evaluate the accuracy of these quantifications, we simulated three-dimensional (3D) CT image blurring; this involved the calculation of the convolution of the 3D object function with the measured 3D point spread function (PSF). We initially validated the simulation technique by performing a phantom experiment. Blurred computed images showed good 3D agreement with measured images of the phantom. We used this technique to compute the 3D blurred images from the object functions, in which functions are determined to have the shape of an ideal sphere of varying diameter and assume solitary pulmonary nodules with a uniform density. The accuracy of diameter and density measurements was determined. We conclude that the proposed simulation technique enables us to estimate the image blurring precisely of any 3D structure and to analyze clinical images quantitatively.
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Acknowledgments
This study was supported in part by a Grant-in-Aid for Cancer Research (Grant No. 15–25) from the Ministry of Health, Labor and Welfare, and in part by a Grant-in-Aid for Scientific Research on Priority Areas (Grant No. 15070205) from the Ministry of Education, Science, Sports and Culture, Japan. This research was also supported by a joint study undertaken between Niigata University and Fujitsu Limited.
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Ohkubo, M., Wada, S., Kunii, M. et al. Imaging of small spherical structures in CT: simulation study using measured point spread function. Med Biol Eng Comput 46, 273–282 (2008). https://doi.org/10.1007/s11517-007-0283-x
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DOI: https://doi.org/10.1007/s11517-007-0283-x