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Abstract

The clinical interpreter of a diagnostic image has the task of reducing the information displayed-in the order of a megabyte-to a set of classifications that convey answers to specialized diagnostic questions-in the order of just a few bits. A high-dimensional feature space is thereby reduced to a low-dimensional feature space. This paper reviews the features available in x-ray imaging, magnetic resonance imaging, and diagnostic ultrasound that derive from the geometry and the physics of the imaging process. An example is drawn from diagnostic ultrasound to demonstrate an objective assessment of a small feature space and the utility of adding back additional features. The assessment is based on the methodology of the receiver-operating characteristic (ROC) curve. Motivation is provided for use of this fundamental tool from statistical decision theory, together with definitions of the quantities involved in scoring performance.

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References

Alvarez, R.E. and Macovski, A. (1976): Energy-selective Reconstructions in X-ray Computed Tomography, Phys Med Biol 21:733-744.

Bottomley, P.A. ; Hardy, C.J. ; Argerstinger, R.E. ; and Allen-Moore, G. (1987): A Review of 'H Nuclear Magnetic Resonance Relaxation in Pathology: Are T1 and T2 Diagnostic?, Med Phys 14:1-37.

Damadian, R. (1971): Tumor Detection by NMR, Science 161:1151.

Dixon, W.T. (1987): Simple Proton Spectroscopic Imaging, Radiology (in press).

Fukunaga, K. (1972): Introduction to Statistical Pattern Recognition , New York: Academic Press.

Garra, B.S. ; Insana, M.F. ; Shawker, T.H. ; and Russell, M.A. (1987): Quantitative Estimation of Liver Attenuation and Echogenicity: Normal State Versus Diffuse Liver Disease, Radiology 162:65-71.

Garra, B.S. ; Insana, M.F. ; Shawker, T.H. ; Wagner, R.F. ; and Russell, M.A. : Detection and Characterization of Diffuse Liver Disease by Ultrasound: A Multi-Parameter Approach, J Ultrasound in Medicine, Suppl. 1986, Proceedings of 30th Annual Conv. (AIUM), (to be published).

Insana, M.F. ; Wagner, R.F. ; Garra, B.S. ; Brown, D.G. ; and Shawker, T.H. (1986): Analysis of Ultrasound Image Texture via Generalized Rician Statistics, Opt Engr 25:743-748.

Insana, M.F. ; Wagner, R.F. ; Garra, B.S. ; Momenan, R. ; and Shawker, T.H. (1986): Pattern Recognition Methods for Optimizing Multivariate Tissue Signatures in Diagnostic Ultrasound, Ultrasonic Imaging 8:165-180.

10.

Jeffcoat, M.K. ; Williams, R.C. ; Kaplan, M.L. ; and Goldhaber, P. (1987): Nuclear Medicine Techniques for the Detection of Active Alveolar Bone Loss, Adv Dent Res 1(1):80-84.

11.

King, D.L. ; Lizzi, F.D. ; Feleppa, E.J. ; Wai, P.M. ; Yaremko, M.M. ; Rorke, M.C. ; and Herbst, J. (1985): Focal and Diffuse Liver Disease

12.

Studied by Quantitative Microstructure Sonography, Radiology 155:457-462. Laval-Jeantet , A.M. ; Roger, B. ; Bouysse, S. ; Bergot, C. ; and Ma-Zess , R.B. (1986): Influence of Vertebral Fat Content on Quantitative CT Density, Radiology 159:463-466.

13.

O'Donnell, M. ; Gore, J.C. ; and Adams, W.J. (1986): Toward an Automated Analysis System for Nuclear Magnetic Resonance Imaging, Med Phys 13:182-190.

14.

Ortendahl, D.A. ; Hylton, N.M. ; Kaufman, L. ; and Crooks, L.E. (1984): Automated Tissue Characterization with NMR Imaging . In: Proceedings of the 8th International Conference on Information Processing in Medical Imaging. The Hague: Martinus Nijhoff Publishers, pp. 392-493.

15.

Raeth, U. ; Schlaps, D. ; Limberg, B. ; Zuna I. ; Lorena, A. ; Van Kaick, G. ; Lorenz, W.J. ; and Kommerell, B. (1985): Diagnostic Accuracy of Computerized B-scan Texture Analysis and Conventional Ultrasonography in Diffuse Parenchymal and Malignant Liver Disease. J Clin Ultrasound 13:87-99.

16.

Riederer, S.J. ; Kruger, R.A. ; and Mistretta, C.A. (1981): Limitations to Iodine Isolation Using a Dual Beam Non-K-edge Approach, Med Phys 8:54-61.

17.

Ruttimann, U.E. (1987): Computer-based Reconstruction and Temporal Subtraction of Radiographs. Adv Dent Res 1(1):72-79.

18.

Ruttimann, U.E. ; Groenhuis, R.A.J. ; and Webber, R.L. (1984): Restoration of Digital Multi-plane Tomosynthesis by a Constrained Iteration Method, IEEE Trans Med Imaging (MI-3):141-148.

19.

Swets, J.A. and Pickett, R.M. (1982): Evaluation of Diagnostic Systems: Methods from Signal Detection Theory, New York: Academic Press.

20.

Taylor, K.J.W. ; Riely, C.A. ; Hammers, L. ; Flax, S. ; Weltin, G. ; Garcia-Tsao, G. ; Conn, H.O. ; Kuc, R. ; and Barwick, K.W. (1986): Quantitative US Attenuation in Normal Liver and in Patients with Diffuse Liver Disease: Importance of Fat, Radiology 160:65-71.

21.

Wagner, R.F. ; Insana, M.F. ; and Brown, D.G. (1986): Unified Approach to the Detection and Classification of Speckle Texture in Diagnostic Ultrasound, Opt Engr 25:738-742.

Diagnostic Imaging: Finding the Critical Features

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