Abstract
In this chapter, we present methods for assessing image quality in radiation-based medical imaging. Image quality is defined by the ability of an observer to perform a relevant task using the images or data generated by an imaging system. The techniques presented in this chapter may be used to assess the utility of imaging hardware or to fine-tune the processing of image data into reconstructed images. Special attention is paid to nuclear medicine imaging but X-ray based imaging systems are also considered.
This is a preview of subscription content, log in via an institution to check access.
References
Barrett HH, Myers KJ (2004) Foundations of image science. Wiley, Hoboken
Clarkson E (2007) The estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasks. JOSA A 24(12):B91–B98
Gagne RM, Boswell JS, Myers KJ (2003) Signal detectability in digital radiography: spatial domain figures of merit. Med Phys 30(8):2180–2193
Ghanbari N, Clarkson E, Kupinski M, Li X (2017) Optimization of an adaptive spect system with the scanning linear estimator. IEEE Trans Radiat Plasma Med Sci 1(5):435–443
Khurd P, Gindi G (2005) Decision strategies that maximize the area under the LROC curve. IEEE Trans Med Imaging 24(12):1626–1636
Lee C-J, Kupinski MA, Volokh L (2013) Assessment of cardiac single-photon emission computed tomography performance using a scanning linear observer. Med Phys 40(1):011906
Metz CE (1986) ROC methodology in radiologic imaging. Investig Radiol 21:720–733
Metz CE (1989) Some practical issues of experimental design and data analysis in radiological ROC studies. Investig Radiol 24:234–245
Tseng H-W, Fan J, Kupinski MA (2017) Assessing computed tomography image quality for combined detection and estimation tasks. J Med Imaging 4(4):045503
Whitaker MK, Clarkson E, Barrett HH (2008) Estimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methods. Opt Express 16(11):8150–8173
Woodbury MA (1950) Inverting modified matrices. Statistical research group, Princeton University, Princeton
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Kupinski, M.A. (2020). Evaluation and Image Quality in Radiation-Based Medical Imaging. In: Fleck, I., Titov, M., Grupen, C., Buvat, I. (eds) Handbook of Particle Detection and Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-47999-6_43-2
Download citation
DOI: https://doi.org/10.1007/978-3-319-47999-6_43-2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47999-6
Online ISBN: 978-3-319-47999-6
eBook Packages: Springer Reference Physics and AstronomyReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics