نتایج جستجو برای: computed tomography phantom

تعداد نتایج: 279342  

2016
Yi Chen Zhenyu Yang Yan Xi Jun Zhao

Triple-Source Computed Tomography (TSCT) improves the temporal resolution by three times the conventional Single-Source Computed Tomography (SSCT). The theories and implementations of TSCT have been well established in previous studies. However, whether additional X-ray tubes increase the dose remains unknown. To solve this problem, a TSCT system was simulated by Monte Carlo simulation. For com...

Journal: :Precision radiation oncology 2022

Objective This study was carried out to analyze the effect of varying kilovoltage peak (kVp) on Hounsfield unit (HU) for various tissue substitutes in two different phantoms and their dosimetric impact dose calculation Monaco treatment planning system version 5.11.02. Methods HU density materials obtained from computed tomography images acquired at kVps (80, 100, 120). Two (CatPhan 503 CIRS 062...

2008
Ramani Ramaseshan Kirpal Kohli Fred Cao Robert Heaton

High-precision radiotherapy planning and quality assurance require accurate dosimetric and geometric phantom measurements. Phantom design requires materials with mechanical strength and resilience, and dosimetric properties close to those of water over diagnostic and therapeutic ranges. Plastic Water Diagnostic Therapy (PWDT: CIRS, Norfolk, VA) is a phantom material designed for water equivalen...

2016
Larry A. Pierce Darrin W. Byrd Brian F. Elston Joel S. Karp John J. Sunderland Paul E. Kinahan

Drawing regions of interest (ROIs) in positron emission tomography/computed tomography (PET/CT) scans of the National Electrical Manufacturers Association (NEMA) NU-2 Image Quality (IQ) phantom is a time-consuming process that allows for interuser variability in the measurements. In order to reduce operator effort and allow batch processing of IQ phantom images, we propose a fast, robust, autom...

1999
B. De Man P. Dupont G. Marchal P. Suetens

A maximum a posteriori algorithm for reduction of metal streak artifacts in x-ray computed tomography is presented. The algorithm uses a Markov random field smoothness prior and applies increased sampling in the reconstructed image. Good results are obtained for simulations and phantom measurements: streak artifacts are reduced while small, line-shaped details are preserved.

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