Abstract
The ideal Bayesian observer is a mathematical construct which makes optimal use of all statistical information about the object and imaging system to perform a task. Its performance serves as an upper bound on any observer’s task performance. In this paper a methodology based on the ideal observer for assessing magnetic resonance (MR) acquisition sequences and reconstruction algorithms is developed. The ideal observer in the context of MR imaging is defined and expressions for ideal observer performance metrics are derived. Comparisons are made between the raw-data ideal observer and image-based ideal observer to elucidate the effect of image reconstruction on task performance. Lesion detection tasks are studied in detail via analytical expressions and simulations. The effect of imaging sequence parameters on lesion detectability is shown and the advantages of this methodology over image quality metrics currently in use in MR imaging is demonstrated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barrett, H.H., Myers, K.J.: Foundations of Image Science. Wiley, Chichester (2004)
Clarkson, E.W., Barrett, H.H.: Approximations to ideal-observer performance on signal-detection tasks. Applied Optics 39, 1783–1793 (2000)
Constable, R.T., Skudlarski, P., Gore, J.C.: An ROC approach for evaluating functional brain MR imaging and postprocessing protocols. Magn. Reson. Med. 34, 57–64 (1995)
Constantinides, C., Atalar, E., McVeigh, E.R.: Signal-to-noise measurements in magnitude images from NMR based arrays. Magn. Reson. Med. 38, 852–857 (1997)
Haacke, E.M., Brown, R.W., Thompson, M.R., Venkatesan, R.: Magnetic Resonance Imaging: Principles and Sequence Design. Wiley-Liss (1999)
Larsson, E.G.: SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging. J. Magn. Reson. 163, 121–123 (2003)
Tapiovaara, M.J., Wagner, R.F.: SNR and noise measurements for medical imaging i. Phys. Med. Biol. 38, 71–92 (1993)
Tisdall, M.D., Atkins, M.S.: Using human and model performance to compare MRI reconstructions. IEEE Trans. Med. Imag. 25, 1510–1517 (2006)
Van Trees, H.L.: Detection, Estimation and Modulation Theory. Wiley, Chichester (1968)
Wagner, R.F., Brown, D.G.: Unified SNR analysis of medical imaging systems. Phys. Med. Biol. 30, 489–518 (1985)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Graff, C.G., Myers, K.J. (2011). The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging. In: Székely, G., Hahn, H.K. (eds) Information Processing in Medical Imaging. IPMI 2011. Lecture Notes in Computer Science, vol 6801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22092-0_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-22092-0_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22091-3
Online ISBN: 978-3-642-22092-0
eBook Packages: Computer ScienceComputer Science (R0)