Book contents
- The Handbook of Medical Image Perception and Techniques, Second Edition
- Reviews
- The Handbook of Medical Image Perception and Techniques
- Copyright page
- Dedication
- Contents
- Contributors
- 1 Medical Image Perception
- Part I Historical Reflections and Theoretical Foundations
- Part II Science of Image Perception
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- 24 CAD: An Image Perception Perspective
- 25 Common Designs of CAD Studies
- 26 Evaluation of CAD and Radiomic Tools
- 27 Quantitative Imaging: Images to Numbers
- Part VI Applied Perception
- Index
- References
27 - Quantitative Imaging: Images to Numbers
from Part V - Computational Perception
Published online by Cambridge University Press: 20 December 2018
Book contents
- The Handbook of Medical Image Perception and Techniques, Second Edition
- Reviews
- The Handbook of Medical Image Perception and Techniques
- Copyright page
- Dedication
- Contents
- Contributors
- 1 Medical Image Perception
- Part I Historical Reflections and Theoretical Foundations
- Part II Science of Image Perception
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- 24 CAD: An Image Perception Perspective
- 25 Common Designs of CAD Studies
- 26 Evaluation of CAD and Radiomic Tools
- 27 Quantitative Imaging: Images to Numbers
- Part VI Applied Perception
- Index
- References
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- The Handbook of Medical Image Perception and Techniques , pp. 407 - 414Publisher: Cambridge University PressPrint publication year: 2018
References
Abramson, R.G., Su, P.F., Shyr, Y. (2012). Quantitative metrics in clinical radiology reporting: a snapshot perspective from a single mixed academic-community practice. Magn Reson Imag, 30(9), 1357–1366.Google Scholar
Birkelo, C.C., Chamberlain, W.E., Phelps, P.S., et al. (1947). Tuberculosis case finding: a comparison of the effectiveness of various roentgenographic and photofluorographic methods. JAMA, 133, 359–366.Google Scholar
Jaffe, T.A., Wickersham, N.W., Sullivan, D.C. (2010). Quantitative imaging in oncology patients: Part 2, oncologists’ opinions and expectations at major U.S. cancer centers. AJR Am J Roentgenol, 195(1), W19-W30.Google Scholar
Joint Committee for Guides in Metrology Working Group 1. (2008). Evaluation of measurement data – Supplement 1 to the Guide to the expression of uncertainty in measurement. Available at: www.bipm.org/utils/common/documents/jcgm/JCGM_100_2008_E.pdf (accessed December 21, 2017).Google Scholar
Kessler, L.G., Barnhart, H.X., Buckler, A.J., et al. (2015). The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions. Stat Methods Med Res, 24(1), 9–26.Google Scholar
Macari, M., Megibow, A.J. (2011). Focal cystic pancreatic lesions: variability in radiologists’ recommendations for follow-up imaging. Radiology, 259(1), 20–23.Google Scholar
Quantitative Imaging Biomarkers Alliance. Available online at: http://rsna.org/qiba (accessed December 21, 2017).Google Scholar
Raunig, D.L., McShane, L.M., Pennello, G., et al. (2015). Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment. Stat Methods Med Res, 24(1), 27–67.Google Scholar
Sullivan, D.C., Schwartz, L.H., Zhao, B. (2013). The imaging viewpoint: how imaging affects determination of progression-free survival. Clin Cancer Res, 19(10), 2621–2628.CrossRefGoogle ScholarPubMed
Sullivan, D.C., Obuchowski, N.A., Kessler, L.G., Raunig, D.L., Gatsonis, C., Huang, E.P. et al. (2015). RSNA-QIBA metrology working group. Metrology standards for quantitative imaging biomarkers. Radiology, 277(3), 813–825.Google Scholar
Zhao, B., Tan, Y., Bell, D.J., Marley, S.E., Guo, P., Mann, H. et al. (2013). Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals. Eur J Radiol, 82(6), 959–968.Google Scholar
- 2
- Cited by