Stochastic modeling of normal and tumor tissue microstructure for high-frequency ultrasound imaging simulations

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 12, 2009, Pages 2806-2815

  Daoud, Mohammad I ^a   Lacefield, James C ^a  

^a ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

Cancer imaging; Gibbs x2013; Markov point process; High frequency ultrasound; Small animal imaging; Stereology; Tissue microstructure

Indexed keywords

CANCER IMAGING; HIGH FREQUENCY ULTRASOUNDS; POINT PROCESS; SMALL ANIMAL IMAGING; STEREOLOGY; TISSUE MICROSTRUCTURES;

ACOUSTIC PROPERTIES; ACOUSTIC WAVES; ANIMALS; BACKSCATTERING; CYTOLOGY; LIVER; MEDICAL IMAGING; MICROSTRUCTURE; PATHOLOGY; SIMULATORS; THREE DIMENSIONAL; TUMORS; ULTRASONIC DEVICES; ULTRASONICS;

ULTRASONIC IMAGING;

4',6 DIAMIDINO 2 PHENYLINDOLE; EOSIN; HEMATOXYLIN;

ANIMAL TISSUE; ARTICLE; CANCER TISSUE; CELL HETEROGENEITY; CONTROLLED STUDY; CYTOPLASM; EXPERIMENTAL MODEL; LIVER; LIVER HISTOLOGY; LIVER METASTASIS; MOUSE; NONHUMAN; SIMULATION; SPHEROID CELL; STOCHASTIC MODEL; TISSUE STRUCTURE; TUMOR MODEL; ULTRASOUND;

ALGORITHMS; ANIMALS; CELL LINE, TUMOR; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER; LIVER NEOPLASMS; MICE; MICE, INBRED C57BL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES; ULTRASONOGRAPHY;

EID: 70350689012     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2028655     Document Type: Article

References (25)

1. R. Weissleder, "Scaling down imaging: Molecular mapping of cancer in mice," Nat. Rev. Cancer, vol.2, pp. 1-8, 2002.
2. D. H. Turnbull, J. A. Ramsay, G. S. Shivji, T. S. Bloomfield, L. From, D. N. Sauder, and F. S. Foster, "Ultrasound backscatter microscope analysis of mouse melanoma progression," Ultrasound Med. Biol., vol.22, pp. 845-853, 1996.
3. M. L. Oelze,W. D. O'Brien, Jr., J. P. Blue, and J. F. Zachary, "Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging," IEEE Trans. Med. Imag., vol.23, no.6, pp. 764-771, Jun. 2004.
4. B. Banihashemi, R. Vlad, B. Debeljevic, A. Giles, M. C. Kolios, and G. J. Czarnota, "Ultrasound imaging of apoptosis in tumor response: Novel preclinical monitoring of photodynamic therapy effects," Cancer Res., vol.68, pp. 8590-8596, 2008.
5. R. E. Baddour andM. C. Kolios, "The fluid and elastic nature of nucleated cells: Implications from the cellular backscatter response," J. Acoust. Soc. Amer., vol.121, pp. EL16-EL22, 2007.
6. J.W.Hunt,A. E.Worthington, andA. T.Kerr, "The subtleties of ultrasound images of an ensemble of cells: Simulation from regular and more random distributions of scatterers," Ultrasound Med. Biol., vol.21, pp. 329-341, 1995.
7. J. W. Hunt, A. E. Worthington, A. Xuan, M. C. Kolios, G. J. Czarnota, and M. D. Sherar, "A model based upon pseudo regular spacing of cells combined with the randomisation of the nuclei can explain the significant changes in high-frequency ultrasound signals during apoptosis," Ultrasound Med. Biol., vol.28, pp. 217-226, 2002.
8. L. R. Taggart, R. E. Baddour, A. Giles, G. J. Czarnota, and M. C. Kolios, "Ultrasonic characterization of whole cells and isolated nuclei," Ultrasound Med. Biol., vol.33, pp. 389-401, 2007.
9. T. E. Doyle, K. H. Warnick, and B. L. Carruth, "Histology-based simulations for the ultrasonic detection of microscopic cancer in vivo," J. Acoust. Soc. Amer., vol.122, pp. EL210-E216, 2007.
10. D. Savery and G. Cloutier, "Effect of red cell clustering and anisotropy on ultrasound blood backscatter: A Monte Carlo study," IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol.52, no.1, pp. 94-103, Jan. 2005.
11. P. Louis and A. M. Gokhale, "Computer simulation of spatial arrangement and connectivity of particles in three-dimensional microstructure: Application to model electrical conductivity of polymer matrix composite," Acta Mater., vol.44, pp. 1519-1528, 1996.
12. M. I. Daoud and J.C. Lacefield, "Stochastic modeling of tissuemicrostructure for high-frequency ultrasound imaging simulations," in Proc. SPIE, vol.7262, pp. 72620P-1-72620P-9, 2009.
13. J. Mamou, M. L. Oelze,W. D. O'Brien, Jr., and J. F. Zachary, "Identifying ultrasonic scattering sites from three-dimensional impedance maps," J. Acoust. Soc. Amer., vol.117, pp. 413-423, 2005.
14. R. C. Waag, J. O. Nilsson, and J. P. Astheimer, "Characterization of volume scattering power spectra in isotropic media from power spectra of scattering by planes," J. Acoust. Soc. Amer., vol.74, pp. 1555-1571, 1983.
15. I. J. Fidler, "Selection of successive tumour lines for metastasis," Nat. New Biol., vol.242, pp. 148-149, 1973.
16. K. C. Graham, L. A. Wirtzfeld, L. T. MacKenzie, C. O. Postenka, A. C. Groom, I. C. MacDonald, A. Fenster, J. C. Lacefield, and A. F. Chambers, "Three-dimensional high-frequency ultrasound imaging for longitudinal evaluation of liver metastases in preclinical models," Cancer Res., vol.65, pp. 5231-5237, 2005.
17. A. E. Carpenter, T. R. Jones, M. R. Lamprecht, C. Clarke, I. H. Kang, O. Friman, D. A. Guertin, J. H. Chang, R. A. Lindquist, J. Moffat, P. Golland, and D. M. Sabatini. (2006). Cellprofiler: Image analysis software for identifying and quantifying cell phenotypes, Genome Biol. [Online]. 7, 2006, article no. R100.
18. M. D. Abramoff, P. J. Magelhaes, and S. J. Ram, "Image processing with Imagej," Biophoton. Int., vol.11, pp. 36-42, 2004.
19. R. T. DeHoff and F. N. Rhines, "Measurement of volume in volume," in Quantitative Microscopy. New York: McGraw-Hill, 1968, ch. 3.
20. R. T. DeHoff and F. N. Rhines, "Particle size distribution," in Quantitative Microscopy. New York: McGraw-Hill, 1968, ch. 6.
21. P. Louis and A. M. Gokhale, "Application of image analysis for characterization of spatial arrangements of features in microstructure," Metall. Mater. Trans., vol.26A, pp. 1449-1456, 1995.
22. M. N. M. Van Lieshout, "Markov point processes," in in Markov Point Processes and Their Applications. London, U.K.: Imperial College Press, 2001, ch. 2.
23. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, "Equation of state calculations by fast computing machines," J. Chem. Phys., vol.21, pp. 1087-1092, 1953.
24. A. Grama, A. Gupta, G. Karypis, and V. Kumar, "Programming shared address space platforms," in Introduction to Parallel Computing, 2nd ed. Harlow, U.K.: Addison-Wesley, 2003, ch. 7.
25. M. L. Oelze and W. D. O'Brien, Jr., "Application of three scattering models to characterization of solid tumors in mice," Ultrason. Imag., vol.28, pp. 83-96, 2006.