Modern Approaches to Quality Control 2011
DOI: 10.5772/23693
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Procedures for Evaluation of Slice Thickness in Medical Imaging Systems

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Cited by 6 publications
(7 citation statements)
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“…Slice thickness is one of the important parameters that determine image resolution among many parameters considered in a CT scan examination [4]. In the past, the slice thickness values were limited to the range of 5 to 10 mm [5], which could only show low-resolution images.…”
Section: Introductionmentioning
confidence: 99%
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“…Slice thickness is one of the important parameters that determine image resolution among many parameters considered in a CT scan examination [4]. In the past, the slice thickness values were limited to the range of 5 to 10 mm [5], which could only show low-resolution images.…”
Section: Introductionmentioning
confidence: 99%
“…The SSP is a parameter that could be identified to evaluate the conditions of the CT system in quality control (QC) program. The SSP measurement can be performed using several types of phantoms [4]. The CatPhan and American College of Radiology (ACR) phantoms are commercial phantoms that are available for SSP measurements [11]- [14].…”
mentioning
confidence: 99%
“…5 The slice thickness of CT usually ranges from submillimeter to 10 mm depending on the anatomy being imaged. 6 Slice thickness affects the longitudinal spatial resolution of the image 7 , which directly influences the ability to discriminate small objects or organs. 8 A thinner slice can be utilized to examine organs or small abnormalities in detail.…”
Section: Introductionmentioning
confidence: 99%
“…Slice thickness is monitored as part of a regular quality control (QC) program. The purpose of QC is to regularly maintain a consistent image quality over the lifetime of the diagnostic radiology equipment and to ensure safe and accurate operation of the imaging process as a whole [9]. Importantly, it permits the identi cation of image quality degradation before it affects the interpretation of an image.…”
Section: Introductionmentioning
confidence: 99%
“…Importantly, it permits the identi cation of image quality degradation before it affects the interpretation of an image. QC is conducted to locate the source of any possible equipment malfunction and subsequently to conduct immediate maintenance requirements [9,10].…”
Section: Introductionmentioning
confidence: 99%