Entropy vs. energy waveform processing: A comparison based on the heat equation
Abstract
Virtually all modern imaging devices collect electromagnetic or acoustic waves and use the energy carried by these waves to determine pixel values to create what is basically an “energy” picture. However, waves also carry “information”, as quantified by some form of entropy, and this may also be used to produce an “information” image. Numerous published studies have demonstrated the advantages of entropy, or “information imaging”, over conventional methods. The most sensitive information measure appears to be the joint entropy of the collected wave and a reference signal. The sensitivity of repeated experimental observations of a slowly-changing quantity may be defined as the mean variation (i.e., observed change) divided by mean variance (i.e., noise). Wiener integration permits computation of the required mean values and variances as solutions to the heat equation, permitting estimation of their relative magnitudes. There always exists a reference, such that joint entropy has larger variation and smaller variance than the corresponding quantities for signal energy, matching observations of several studies. Moreover, a general prescription for finding an “optimal” reference for the joint entropy emerges, which also has been validated in several studies.
- Authors:
-
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Washington University in St. Louis, St Louis, MO (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1211541
- Grant/Contract Number:
- NIH EB002168; 5R21EB018095; NSF DMS 1300280; AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Entropy
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: 6; Journal ID: ISSN 1099-4300
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; information wave; optimal detection; entropy image; joint entropy
Citation Formats
Hughes, Michael S., McCarthy, John E., Bruillard, Paul J., Marsh, Jon N., and Wickline, Samuel A. Entropy vs. energy waveform processing: A comparison based on the heat equation. United States: N. p., 2015.
Web. doi:10.3390/e17063518.
Hughes, Michael S., McCarthy, John E., Bruillard, Paul J., Marsh, Jon N., & Wickline, Samuel A. Entropy vs. energy waveform processing: A comparison based on the heat equation. United States. https://doi.org/10.3390/e17063518
Hughes, Michael S., McCarthy, John E., Bruillard, Paul J., Marsh, Jon N., and Wickline, Samuel A. Mon .
"Entropy vs. energy waveform processing: A comparison based on the heat equation". United States. https://doi.org/10.3390/e17063518. https://www.osti.gov/servlets/purl/1211541.
@article{osti_1211541,
title = {Entropy vs. energy waveform processing: A comparison based on the heat equation},
author = {Hughes, Michael S. and McCarthy, John E. and Bruillard, Paul J. and Marsh, Jon N. and Wickline, Samuel A.},
abstractNote = {Virtually all modern imaging devices collect electromagnetic or acoustic waves and use the energy carried by these waves to determine pixel values to create what is basically an “energy” picture. However, waves also carry “information”, as quantified by some form of entropy, and this may also be used to produce an “information” image. Numerous published studies have demonstrated the advantages of entropy, or “information imaging”, over conventional methods. The most sensitive information measure appears to be the joint entropy of the collected wave and a reference signal. The sensitivity of repeated experimental observations of a slowly-changing quantity may be defined as the mean variation (i.e., observed change) divided by mean variance (i.e., noise). Wiener integration permits computation of the required mean values and variances as solutions to the heat equation, permitting estimation of their relative magnitudes. There always exists a reference, such that joint entropy has larger variation and smaller variance than the corresponding quantities for signal energy, matching observations of several studies. Moreover, a general prescription for finding an “optimal” reference for the joint entropy emerges, which also has been validated in several studies.},
doi = {10.3390/e17063518},
journal = {Entropy},
number = 6,
volume = 17,
place = {United States},
year = {Mon May 25 00:00:00 EDT 2015},
month = {Mon May 25 00:00:00 EDT 2015}
}
Web of Science
Works referenced in this record:
Joint entropy of continuously differentiable ultrasonic waveforms
journal, January 2013
- Hughes, M. S.; McCarthy, J. E.; Marsh, J. N.
- The Journal of the Acoustical Society of America, Vol. 133, Issue 1, p. 283-300
Real-time calculation of a limiting form of the Renyi entropy applied to detection of subtle changes in scattering architecture
journal, November 2009
- Hughes, M. S.; McCarthy, J. E.; Wickerhauser, M. V.
- The Journal of the Acoustical Society of America, Vol. 126, Issue 5, p. 2350-2358
Application of Renyi entropy for ultrasonic molecular imaging
journal, January 2009
- Hughes, M. S.; Marsh, J. N.; Arbeit, J. M.
- The Journal of the Acoustical Society of America, Vol. 125, Issue 5, Article No. 3141
Analysis of digitized waveforms using Shannon entropy
journal, February 1993
- Hughes, Michael S.
- The Journal of the Acoustical Society of America, Vol. 93, Issue 2, p. 892-906
Method of data reduction for accurate determination of acoustic backscatter coefficients
journal, September 1984
- Madsen, Ernest L.; Insana, Michael F.; Zagzebski, James A.
- The Journal of the Acoustical Society of America, Vol. 76, Issue 3
Properties of an entropy-based signal receiver with an application to ultrasonic molecular imaging
journal, January 2007
- Hughes, M. S.; McCarthy, J. E.; Marsh, J. N.
- The Journal of the Acoustical Society of America, Vol. 121, Issue 6, Article No. 3542
Sensitive Ultrasonic Detection of Dystrophic Skeletal Muscle in Patients with Duchenne Muscular Dystrophy Using an Entropy-Based Signal Receiver
journal, August 2007
- Hughes, Michael S.; Marsh, Jon N.; Wallace, Kirk D.
- Ultrasound in Medicine & Biology, Vol. 33, Issue 8, p. 1236-1243
Improved signal processing to detect cancer by ultrasonic molecular imaging of targeted nanoparticles
journal, June 2011
- Hughes, Michael; Marsh, Jon; Lanza, Gregory
- The Journal of the Acoustical Society of America, Vol. 129, Issue 6, p. 3756-3767
Analysis of digitized waveforms using Shannon entropy. II. High‐speed algorithms based on Green’s functions
journal, May 1994
- Hughes, Michael S.
- The Journal of the Acoustical Society of America, Vol. 95, Issue 5, p. 2582-2588
Error bounds on ultrasonic scatterer size estimates
journal, July 1996
- Chaturvedi, Pawan; Insana, Michael F.
- The Journal of the Acoustical Society of America, Vol. 100, Issue 1
Gray scale second harmonic imaging of acoustic emission signals improves detection of liver tumors in rabbits.
journal, August 2000
- Forsberg, F.; Liu, J. B.; Merton, D. A.
- Journal of Ultrasound in Medicine, Vol. 19, Issue 8
Transformations of Weiner Integrals Under Translations
journal, April 1944
- Cameron, R. H.; Martin, W. T.
- The Annals of Mathematics, Vol. 45, Issue 2
A comparison of Shannon entropy versus signal energy for acoustic detection of artificially induced defects in Plexiglas
journal, April 1992
- Hughes, Michael S.
- The Journal of the Acoustical Society of America, Vol. 91, Issue 4, p. 2272-2275
Comparing contrast-enhanced ultrasound to immunohistochemical markers of angiogenesis in a human melanoma xenograft model: preliminary results
journal, April 2002
- Forsberg, Flemming; Dicker, Adam P.; Thakur, Mattew L.
- Ultrasound in Medicine & Biology, Vol. 28, Issue 4
Ultrasonic spectrum analysis for tissue evaluation
journal, February 2003
- Lizzi, Frederic L.; Feleppa, Ernest J.; Kaisar Alam, S.
- Pattern Recognition Letters, Vol. 24, Issue 4-5
Analysis of time Series with Wavelets
journal, March 2007
- Ciancio, Armando
- International Journal of Wavelets, Multiresolution and Information Processing, Vol. 05, Issue 02
Long Range Dependence, Unbalanced haar Wavelet Transformation and Changes in Local mean Level
journal, January 2009
- Baek, Changryong; Pipiras, Vladas
- International Journal of Wavelets, Multiresolution and Information Processing, Vol. 07, Issue 01
Efficient Similarity Search for Multi-Dimensional time Sequences
journal, May 2010
- Lee, Sangjun; Park, Jisook
- International Journal of Wavelets, Multiresolution and Information Processing, Vol. 08, Issue 03
Smoothing by spline functions
journal, October 1967
- Reinsch, Christian H.
- Numerische Mathematik, Vol. 10, Issue 3
Characterization of digital waveforms using thermodynamic analogs: applications to detection of materials defects
journal, September 2005
- Hughes, M. S.; Marsh, J. N.; Hall, C. S.
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 52, Issue 9, p. 1555-1564
Characterization of digital waveforms using thermodynamic analogs: detection of contrast-targeted tissue in vivo
journal, September 2006
- Hughes, M. S.; Marsh, J. N.
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 53, Issue 9, p. 1609-1616
Use of smoothing splines for analysis of backscattered ultrasonic waveforms: Application to monitoring of steroid treatment of dystrophic mice
journal, November 2011
- Hughes, M. S.; Marsh, J. N.; Agyem, K. F.
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 58, Issue 11, p. 2361-2369
Application of a real-time, calculable limiting form of the Renyi entropy for molecular imaging of tumors
journal, August 2010
- Marsh, J. N.; Wallace, K. D.; Mccarthy, J. E.
- IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 57, Issue 8
The Wiener Integral
journal, February 1963
- Koval'chik, I. M.
- Russian Mathematical Surveys, Vol. 18, Issue 1
Notes on random functions
journal, December 1933
- Paley, R. E. A. C.; Wiener, N.; Zygmund, A.
- Mathematische Zeitschrift, Vol. 37, Issue 1
Real-time calculation of a limiting form of the Renyi entropy applied to detection of subtle changes in scattering architecture
journal, November 2009
- Hughes, M. S.; McCarthy, J. E.; Wickerhauser, M. V.
- The Journal of the Acoustical Society of America, Vol. 126, Issue 5, p. 2350-2358
Method of data reduction for accurate determination of acoustic backscatter coefficients
journal, September 1984
- Madsen, Ernest L.; Insana, Michael F.; Zagzebski, James A.
- The Journal of the Acoustical Society of America, Vol. 76, Issue 3
Error bounds on ultrasonic scatterer size estimates
journal, July 1996
- Chaturvedi, Pawan; Insana, Michael F.
- The Journal of the Acoustical Society of America, Vol. 100, Issue 1