Principles of Signal Analysis with Applications to Medical Imaging
In the accompanying chapter by Horton, Herron and Kerber and in that by Ayers and Huang the reader has been exposed to two of the first applications of signal analysis to computerized tomography (CT) image processing. The goal in both cases is to generate a quantitative analysis of tissue structure and/or tissue pathology. This is particularly appropriate in CT because of the fact that the image exists in computer memory as a number array which can be analyzed readily by the same computer which generated the image.
KeywordsRadio Frequency Signal Analysis Anterior Abdominal Wall Burst Length Signal Regime
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- Decker, D., Epple, E., Leiss, W., and Nagel, M., “Digital Computer Analysis of Time-Amplitude Ultrasonograms from the Human Eye,” J. Clin. Ultrasound 1 (2): 150 (1973).Google Scholar
- Fry, E., Okuyama, D., and Fry, F. J. J., “Ultrasonic Differentiation of Normal Liver Structure as a Function of Age and Species,” Proc. 6th Intern’l. Cong. on Acoustics (Tokyo, 1968 ).Google Scholar
- Hounsfield, G. N., “Computerized Transverse Axial Scanning (Tomography), Part I. Description of System,” Brit. J. Radiol. 46: 1016–1022 (1973).Google Scholar
- Ossoinig, K. C., “Quantitative Echography - The Basis of Tissue Differentiation,” J. C.in. Ultrasound 1: 190 (1973).Google Scholar
- Preston, K., Jr., “Use of Pattern Recognition for Signal Processing in Ultrasonic Histopathology,” NBS Spec. Pub. 453, U.S. Dept. of Commerce (Oct. 1976), pp. 51–60.Google Scholar
- Taylor, K. J. W., and Milan, J., “Digital A-Scan Analysis in the Diagnosis of Chronic Splenic Enlargement,” NBS Spec. Pub. 453, U.S. Dept. of Commerce (Oct. 1976), pp. 71–80.Google Scholar