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Microwave Imaging Of The Breast With Incorporated Structural Information Final

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This work has been presented at the SPIE Medical Imaging 2010 conference in San Diego, CA

This work has been presented at the SPIE Medical Imaging 2010 conference in San Diego, CA

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Microwave Imaging Of The Breast With Incorporated Structural Information Final Microwave Imaging Of The Breast With Incorporated Structural Information Final Presentation Transcript

  • Microwave Imaging of the Breast With Incorporated Structural Information SPIE Medical Imaging 15 February, 2010 San Diego, CA Amir H. Golnabi Thayer School of Engineering at Dartmouth College, NH
  • 1. Introduction
    • Breast Cancer:
      • 32% of all cancers in women, ~40,460 deaths annually (ACS)
      • Most commonly diagnosed cancer
      • Second cause of cancer death in women, after lung cancer
      • A woman's chance of being diagnosed with breast cancer :
    www.cancer.org
  • 1. Introduction
    • Patients’ long term survival: tumor detection at its early stage
    • Prominent clinical technique: X-ray mammography
      • Low sensitivity, radiographically higher density breasts
      • High false-positive rate
      • Unnecessary and costly surgical interventions
      • Uncomfortable compression
      • Ionizing radiation
    www.amberusa.com/images/mammography Joy et al 2005, Smith-Bindman et al 2005
  • 1. Introduction
    • Other clinical standards: Ultrasound and MRI
      • High spatial resolution but lack of functional information
      • Alternative/complementary medical imaging modalities -> improve both sensitivity and specificity and supply more functional information
    http://www.nucleusinc.com www.uwhealth.org/
  • 2. Microwave Imaging Spectroscopy
    • Active microwaves (ranging from high MHz to low GHz) to detect abnormalities in the breast
    • Dielectric Properties of tissues:
      • Permittivity: ε Molecule dipole moment per volume: material’s ability to transmit (or "permit") an electric field,
      • Conductivity: σ Free-path length and speed of electrons inside the material: measure of a material’s ability to conduct an electric current
      • Mammary glands : largest difference in dielectric properties of various normal and malignant tissues
    • Advantages:
      • Substantial information about the malignancy or healthiness of breast tissue provided by the available range of dielectric properties
      • Fat -> Easy penetration
      • Easy accessibility
      • Non-ionizing and non-compressive
  • 2. Microwave Imaging at Dartmouth
    • Clinical MIS system at Dartmouth Hitchcock Medical Center (DHMC) for breast cancer screening and therapy monitoring
    • Over 300 patients
    • About 500 exams
  • 2. Microwave Imaging at Dartmouth
    • 16 monopole antennas
    • Frequency range: 500 MHz – 3.0 GHz
    • Multiple vertical positions
    • 1 antenna transmits and other 15 antennas receive the signal
    • 2D and 3D Imaging
     1 ,  1  2 ,  2
  • 3. Microwave Image Reconstruction
    • Subcentimeter resolution
    • Limited recovery of the electrical properties
  • 4. Microwave Image Reconstruction with Incorporated Anatomical Information
  • 4. Inclusion of Spatial Information
    • Soft Prior Regularization
      • Penalizes the variation
      • Restricts smoothing across boundaries
      • Approximation of a second order Laplacian smoothing operator inside each region
  • 5. Phantom Experiments
  • 5. Phantom Experiments
    • SolidWorks:
      • Anatomical Information and mesh generation process
  • 5. Phantom Experiments
    • Microwave Data Acquisition
    • Phantom Material Properties:
    • Bath: 80:20 mixture of glycerin:water
    • Breast: 88:12 mixture of glycerin:water (scattered breast)
    • Inclusion: 50:50 mixture of glycerin:water (tumor)
  • 5. Phantom Experiments: Results Square Inclusion L = 20 mm Square Inclusion L = 10 mm
  • 5. Phantom Experiments: Results Square Inclusion L = 20 mm, frequency range: 900-2100 MHz Relative Error = (exact – reconstructed)/exact
  • 6. Initial Clinical Data
  • 6. Initial Clinical Data Using high spatial resolution MR images as soft prior information in microwave image reconstruction:
  • 6. Initial Clinical Data Reconstructed images at 1100 MHz with and without soft prior regularization:
  • 7. Conclusion and Future Directions:
    • New approach with incorporated structural information:
      • Multimodality Imaging: Functional and Spatial Information
      • Improves spatial resolution and reconstructed property distributions
      • Useful for detection purposes
    • Future directions:
      • Bilateral microwave imaging in MR
      • Customized MRI coils
      • More clinical patient data
      • Viable 3D microwave imaging
  • Acknowledgement
    • MIS group at Thayer School of Engineering
      • Matt Pallone, Tian Zhou, Neil Epstein
      • Hamid Ghadyani and Preston Manwaring
    • This work was sponsored by NIH/NCI grant # P01-CA080139
    Prof. Paul Meaney Prof. Keith Paulsen Shireen Geimer Margaret Fanning
  • References American Cancer Society , (2007, September 26). Breast Cancer Facts Figures 2007-2008. Website: http://www.cancer.org/downloads/STT/BCFF-Final.pdf Larsen, Lawrence, and John Jacobi. Medical Applications of Microwave Imaging. New York: IEEE Press, 1985. J. R. Reitz and F. J. Milford. Functions of electromagnetic theory. Addison Wesley Publishing Company, 1967 Von Hippel, A. R. Dielectric Materials and Applications. M.I.T. Press, 1954 Schwan, H. P. Electrical properties of tissue and cell suspensions. Adv, Biol. Med. Phys. Vol. 5 H.F. Cook, “The dielectric behavior of some types of human tissue at microwave frequencies,” Br. J. Appl. Phys., Vol 2, pp. 295-296, Oct. 1951. J. E. Roberts and H. F. Cook, “Microwave in medical and biological research,” Br. J. Appl. Phys., Vol. 3, pp. 33-40, Feb 1952. C. C. Johnson and A.W. Guy, “Nonionizing electromagnetic wave effects in biological materials and systems,” Proc. IEEE, Vol. 60, pp. 694-695, June 1972. Smith-Bindman R., Chu P., Miglioretti D. L., Quale C., Rosenberg R. D., Cutter G., Geller B., Bacchetti P., Sickles E. A., and Kerlikowske K., “Physician Predictors of Mammographic Accuracy,” Journal of the National Cancer Institute, Vol. 97(5), 358-367 (2005). Brooksby, B., Jiang, S., Dehghani, H., Pogue, B. W., Paulsen, K. D., Weaver, J., Kogel, C., and Poplack, S. P., “Combining near infrared tomography and magnetic resonance imaging to study in vivo breast tissue: implementation of a Laplacian-type regularization to incorporate magnetic resonance structure.” Journal of Biomedical Optics, Sep/Oct 2005. vol. 10(5). Meaney PM, Fang Q, Rubaek T, Demidenko E, Paulsen KD, “Log transformation benefits parameter estimation in microwave tomographic imaging,” Medical Physics, vol. 34, pp. 2014-2023, 2007. Q. Fang, “Computational methods for microwave medical imaging,” Ph.D. dissertation, Thayer School of Engineering, Dartmouth College, Hanover, NH, 2004. D. R. Lynch, Numerical partial differential equations for environmental scientists and engineers – A first practical course, Springer, Edition 1, 2005. P. K. Yalavarthy, H. Dehghani, B. W. Pogue, C. M. Carpenter, H. B. Jiang, and K. D. Paulsen, "Structural information within regularization matrices improves near infrared diffuse optical tomography," Optics Express, vol. 15, no. 13, pp. 8043 – 8058, 2007.
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