Image noise and lesion detectability in x-ray computed tomography
Published: Jan 1, 2009
Abstract
In order to improve x-ray computed tomography systems, it is necessary to assess how modifications to the imaging system may impact image quality. Because noise is an important component of image quality, such assessments require accurate methods for the evaluation of image noise. In fact, many task-based measures of image quality, such as lesion detectability, require knowledge of image noise for their evaluation. This dissertation presents...
Paper Details
Title
Image noise and lesion detectability in x-ray computed tomography
Published Date
Jan 1, 2009
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