Wednesday February 21st 2018

Identification of Neuroradiology MRI Protocol Errors via a Quality-Driven Categorization Approach

In a recent study, Smith-Bindman et al [1] found that during the 15-year period spanning 1996 to 2010, MRI use in large integrated health care systems grew by 10% annually. Consequently, there has also been recent interest in standardizing MRI protocols for common clinical entities such as multiple sclerosis and stroke [2,3]. Acquisition of MRI studies involves a complex process with many steps, any one of which can be a source of errors that lead to suboptimal image quality and/or an inadequate study to answer clinical questions. (Source: Journal of the American College of Radiology : JACR)

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Identification of Neuroradiology MRI Protocol Errors via a Quality-Driven Categorization Approach

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