Energy window and collimator optimization in lutetium-177 single-photon emission computed tomography imaging using Monte Carlo simulation
نویسندگان
چکیده
منابع مشابه
Image Optimization in Single Photon Emission Computed Tomography by Hardware Modifications with Monte Carlo Simulation
Introduction: In Single Photon Emission Computed Tomography (SPECT), the projection data used for image reconstruction are distorted by several factors, including attenuation and scattering of gamma rays, collimator structure, data acquisition method, organ motion, and washout of radiopharmaceuticals. All these make reconstruction of a quantitative SPECT image very difficult. Simulation of a SP...
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Introduction: In radionuclide imaging, object scatter is one of the major factors leading to image quality degradation. Therefore, the correction of scattered photons might have a great impact on improving the image quality. Regarding this, the present study aimed to determine the main and sub-energy windows for triple energy window (TEW) scatter correction method usin...
متن کاملimage optimization in single photon emission computed tomography by hardware modifications with monte carlo simulation
introduction: in single photon emission computed tomography (spect), the projection data used for image reconstruction are distorted by several factors, including attenuation and scattering of gamma rays, collimator structure, data acquisition method, organ motion, and washout of radiopharmaceuticals. all these make reconstruction of a quantitative spect image very difficult. simulation of a sp...
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Introduction SPECT projections are contaminated by scatter radiation, resulting in reduced image contrast and quantitative errors. Backscatter constitutes a major part of the scatter contamination in lower energy windows. The current study is an evaluation of the effect of backscatter material on FWHM and image quality investigated by Monte Carlo simulation. Materials and Methods SIMIND program...
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ژورنال
عنوان ژورنال: Indian Journal of Nuclear Medicine
سال: 2020
ISSN: 0972-3919
DOI: 10.4103/ijnm.ijnm_121_19