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Michael J. Dennis
Researcher at University of Texas Health Science Center at San Antonio
Publications - 12
Citations - 337
Michael J. Dennis is an academic researcher from University of Texas Health Science Center at San Antonio. The author has contributed to research in topics: Imaging phantom & Tomography. The author has an hindex of 7, co-authored 12 publications receiving 321 citations.
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Journal ArticleDOI
Extraction of information from CT scans at different energies.
Michael R. Millner,William D. McDavid,Robert G. Waggener,Michael J. Dennis,William H. Payne,Victor J. Sank +5 more
TL;DR: The dual-energy method described by Rutherford has been used to produce complete images of effective atomic number and electron density of a known phantom (the AAPM phantom) in order to investigate the usefulness of applying this method to current commercial scanners.
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Correction for spectral artifacts in cross-sectional reconstruction from x rays.
TL;DR: It is suggested that the spectral artifact can be successfully eliminated from computerized cross-sectional scans without resorting to the use of the water bath while, at the same time, improving quantum statistics and/or permitting operation at a lower tube current.
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Spectral effects on three-dimensional reconstruction from x-rays
TL;DR: Two algorithms for the reconstruction of attenuation coefficients from projection data, an algebraic reconstruction technique (ART) and the convolution method, were utilized to reconstruct effective coefficients and the effect of spectral filtration on the quality of the reconstruction was evaluated.
Journal ArticleDOI
Determination of effective energies in CT calibration.
Michael R. Millner,William H. Payne,Robert G. Waggener,William D. McDavid,Michael J. Dennis,Victor J. Sank +5 more
TL;DR: In this paper, a linear relationship between the measured CT numbers and corresponding attenuation coefficients of known materials at the effective energy of the x-ray beam was determined by searching all energies for the best linear correlation between the CT number and the attenuation coefficient.
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Estimation of chemical composition and density from computed tomography carried out at a number of energies.
TL;DR: Computer simulated reconstructions of clinical situations suggest that the method shows promise for providing additional diagnostic information and might dispense to some extent with the necessity of injecting contrast agents into the patient.