Literature DB >> 23625536

The value of observer performance studies in dose optimization: a focus on free-response receiver operating characteristic methods.

John D Thompson1, David J Manning, Peter Hogg.   

Abstract

Receiver operating characteristic (ROC) analysis has been successfully used in radiology to help determine the combined success of system and observer. There is great value in these methods for assessing new and existing techniques to see if diagnostic accuracy can be improved. Within all aspects of radiology there should be compliance with the as-low-as-reasonably-achievable principle, which requires optimization of the diagnostic suitability of the image. Physical measures of image quality have long been used in the assessment of system performance, but these alone are not sufficient to assess diagnostic capability. It is imperative that the observer be included in any assessment of diagnostic performance. The free-response ROC paradigm has been developed as a statistically powerful advancement of traditional ROC analysis that allows a precise interpretation of complex images by adding location information to the level of observer confidence. The following review of free-response ROC methodology will explain how observer performance methods can be valuable in image optimization, including examples of how these have already been successful in hybrid imaging.

Keywords:  FROC; observer performance; optimization

Mesh:

Year:  2013        PMID: 23625536     DOI: 10.2967/jnmt.112.116566

Source DB:  PubMed          Journal:  J Nucl Med Technol        ISSN: 0091-4916


  2 in total

1.  Evaluation of Pseudoreader Study Designs to Estimate Observer Performance Results as an Alternative to Fully Crossed, Multireader, Multicase Studies.

Authors:  Rickey E Carter; David R Holmes; Joel G Fletcher; Cynthia H McCollough
Journal:  Acad Radiol       Date:  2019-05-07       Impact factor: 3.173

2.  A simple method for low-contrast detectability, image quality and dose optimisation with CT iterative reconstruction algorithms and model observers.

Authors:  Luca Bellesi; Rolf Wyttenbach; Diego Gaudino; Paolo Colleoni; Francesco Pupillo; Mauro Carrara; Antonio Braghetti; Carla Puligheddu; Stefano Presilla
Journal:  Eur Radiol Exp       Date:  2017-10-23
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.