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
- 8 Perceptual Factors in Reading Medical Images
- 9 Cognitive Factors in Reading Medical Images: Thinking Processes in Image Interpretation
- 10 Satisfaction of Search in Radiology
- 11 Acquiring Expertise in Radiologic Image Interpretation
- 12 The First Moments of Medical Image Perception
- 13 Image Quality and Its Clinical Relevance
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- Part VI Applied Perception
- Index
- References
13 - Image Quality and Its Clinical Relevance
from Part II - Science of Image 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
- 8 Perceptual Factors in Reading Medical Images
- 9 Cognitive Factors in Reading Medical Images: Thinking Processes in Image Interpretation
- 10 Satisfaction of Search in Radiology
- 11 Acquiring Expertise in Radiologic Image Interpretation
- 12 The First Moments of Medical Image Perception
- 13 Image Quality and Its Clinical Relevance
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- Part VI Applied Perception
- Index
- References
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- The Handbook of Medical Image Perception and Techniques , pp. 197 - 212Publisher: Cambridge University PressPrint publication year: 2018
References
Arfken, G.B., Weber, H.J. (1995). Mathematical Methods for Physicists. San Diego, CA: Academic Press.Google Scholar
Barrett, H.H., Yao, J., Rolland, J.P., Myers, K.J. (1993). Model observers for assessment of image quality Proc Natl Acad Sci U S A, 90, 9758–9765.Google Scholar
Barrett, H.H., Myers, K.J., Hoeschen, C., Kupinski, M.A., Little, M.P. (2015). Task-based measures of image quality and their relation to radiation dose and patient risk. Phys Med Biol, 60, R1–R75.CrossRefGoogle ScholarPubMed
Beister, M., Kolditz, D., Kalender, W.A. (2012). Iterative reconstruction methods in X-ray CT. Phys Med, 28, 94–108.Google Scholar
Blackman, R.B., Tukey, J.W. (1959). The Measurement of Power Spectra, from the Point of View of Communications Engineering. New York, NY: Dover Publications.Google Scholar
Bradford, C.D., Peppler, W.W., Waidelich, J.M. (1999). Use of a slit camera for MTF measurements. Med Phys, 26, 2286–2294.Google Scholar
Brenner, D.J., Hall, E.J. (2007). Computed tomography – an increasing source of radiation exposure. N Engl J Med, 357, 2277–2284.Google Scholar
Dainty, J.C., Shaw, R. (1974). Image Science: Principles, Analysis and Evaluation of Photographic-Type Imaging Processes. New York, NY: Academic Press.Google Scholar
Dobbins, J.T. (2000). Image quality metrics for digital systems. In: Beutel, J., Van Metter, R., Kundel, H. (eds.) Handbook of Medical Imaging. Vol. 1: Physics and Psychophysics. Bellingham, WA: SPIE Press, pp. 163–222.Google Scholar
Fujita, H., Doi, K., Giger, M.L. (1985). Investigation of basic imaging properties in digital radiography. 6. MTFs of II-TV digital imaging-systems. Med Phys, 12, 713–720.Google Scholar
Giger, M.L., Doi, K. (1984) Investigation of basic imaging properties in digital radiography. 1. Modulation transfer-function. Med Phys, 11, 287–295.Google Scholar
Giger, M.L., Doi, K., Metz, C.E. (1984). Investigation of basic imaging properties in digital radiography. 2. Noise Wiener spectrum. Med Phys, 11, 797–805.CrossRefGoogle ScholarPubMed
Giger, M.L., Doi, K., Fujita, H. (1986). Investigation of basic imaging properties in digital radiography. 7. Noise Wiener spectra of II-TV digital imaging-systems. Med Phys, 13, 131–138.Google Scholar
Hwang, S.A., Seo, J.B., Choi, B.K., Do, K.H., Ko, S.M., Lee, S.H., Lee, J.S., Song, J.W., Song, K.S., Lim, T.H. (2003). Liquid-crystal display monitors and cathode-ray tube monitors: a comparison of observer performance in the detection of small solitary pulmonary nodules. Korean J Radiol, 4, 153–156.CrossRefGoogle ScholarPubMed
ICRU (1995). ICRU report 54: medical imaging – the assessment of image quality. International Commission on Radiation Units and Measurements. J Int Commission Rad Units Meas, 28.Google Scholar
Krupinski, E.A., Johnson, J., Roehrig, H., Nafziger, J., Lubin, J. (2005). On-axis and off-axis viewing of images on CRT displays and LCDs: observer performance and vision model predictions. Acad Radiol, 12, 957–964.Google Scholar
Metz, C.E. (2000). Fundamental ROC analysis. In: Beutel, J., Kundel, H.L., Van Metter, R.L. (eds.) Handbook of Medical Imaging. Bellingham, WA: SPIE Press, pp. 751–770.Google Scholar
Oschatz, E., Prokop, M., Scharitzer, M., Weber, M., Balassy, C., Schaefer-Prokop, C. (2005). Comparison of liquid crystal versus cathode ray tube display for the detection of simulated chest lesions. Eur Radiol, 15, 1472–1476.Google Scholar
Samei, E., Saunders, R.S., Jr., Baker, J.A., Delong, D.M. (2007). Digital mammography: effects of reduced radiation dose on diagnostic performance. Radiology, 243, 396–404.Google Scholar
Saunders, R.S., Samei, E. (2006a). Improving mammographic decision accuracy by incorporating observer ratings with interpretation time. Br J Radiol, 79 Spec No 2, S117–S122.Google Scholar
Saunders, R.S., Samei, E. (2006b). Resolution and noise measurements of five CRT and LCD medical displays. Med Phys, 33, 308–319.Google Scholar
Saunders, R., Samei, E., Hoeschen, C. (2003). Impact of resolution and noise characteristics of digital radiographic detectors on the detectability of lung nodules. SPIE Proc, 5030, 16–25.Google Scholar
Saunders, R.S., Samei, E., Hoeschen, C. (2004). Impact of resolution and noise characteristics of digital radiographic detectors on the detectability of lung nodules. Med Phys, 31, 1603–1613.Google Scholar
Saunders, R.S., Samei, E., Baker, J., Delong, D., Soo, M.S., Walsh, R., Pisano, E., Kuzmiak, C.M., Pavic, D. (2006) Comparison of LCD and CRT displays based on efficacy for digital mammography. Acad Radiol, 13, 1317.Google Scholar
Solomon, J., Marin, D., Choudhury, K., Patel, B., Samei, E. (2017). Effect of radiation dose reduction and reconstruction algorithm on image noise, contrast, resolution, and detectability of subtle hypoattenuating liver lesions at multidetector CT: filtered back projection versus a commercial model-based iterative reconstruction algorithm. Radiology, 284, 777–787.Google Scholar
Workman, A., Brettle, D.S. (1997). Physical performance measures of radiographic imaging systems. Dentomaxillofac Rad, 26, 139–146.Google Scholar