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MO‐G‐18A‐01: Radiation Dose Reducing Strategies in CT, Fluoroscopy and Radiography
Author(s) -
Mahesh M,
Gingold E,
Jones A
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4889181
Subject(s) - fluoroscopy , medical imaging , radiography , flat panel detector , medical physics , radiation dose , digital radiography , medicine , computed radiography , radiation protection , dosimetry , nuclear medicine , detector , image quality , computer science , radiology , artificial intelligence , image (mathematics) , telecommunications
Advances in medical x‐ray imaging have provided significant benefits to patient care. According to NCRP 160, there are more than 400 million x‐ray procedures performed annually in the United States alone that contributes to nearly half of all the radiation exposure to the US population. Similar growth trends in medical x‐ray imaging are observed worldwide. Apparent increase in number of medical x‐ray imaging procedures, new protocols and the associated radiation dose and risk has drawn considerable attention. This has led to a number of technological innovations such as tube current modulation, iterative reconstruction algorithms, dose alerts, dose displays, flat panel digital detectors, high efficient digital detectors, storage phosphor radiography, variable filters, etc. that are enabling users to acquire medical x‐ray images at a much lower radiation dose. Along with these, there are number of radiation dose optimization strategies that users can adapt to effectively lower radiation dose in medical x‐ray procedures. The main objectives of this SAM course are to provide information and how to implement the various radiation dose optimization strategies in CT, Fluoroscopy and Radiography. Learning Objectives: 1. To update impact of technological advances on dose optimization in medical imaging. 2. To identify radiation optimization strategies in computed tomography. 3. To describe strategies for configuring fluoroscopic equipment that yields optimal images at reasonable radiation dose. 4. To assess ways to configure digital radiography systems and recommend ways to improve image quality at optimal dose.