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PUBLISHED ARTICLES AND PRESENTATIONS

Peer reviewed journal articles

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  1. D. Kurrant, M. Omer, N. Abdollahi, P. Mojabi , E. Fear, and J. LoVetri. “Unsupervised machine learning reinforced with statistical hypothesis testing to segment medical images into tissue types”, IEEE Antennas Wireless Propag. Lett.,(submitted for review).

  2. N. Abdollahi, D. Kurrant,  P. Mojabi , M. Omer, E. Fear, and J. LoVetri, “Incorporation of Ultrasonic Prior Information for Improving Quantitative Microwave Imaging of Breast”, IEEE Journal on Multiscale Multiphysics Computational Techniques (accepted-preprint), 2019.

  3. M. Omer, P. Mojabi, D. Kurrant, J. LoVetri, and E. Fear, “Proof-of-Concept of the Incorporation of Ultrasound-Derived Structural Information Into Microwave Radar Imaging”, IEEE Journal on Multiscale Multiphysics Computational Techniques, Vol. 3, 129-139, 2018.

  4. J. Bourquis, M. Kuhlmann, D. Kurrant, B. Lavoie, and E. Fear, “Adaptive Monostatic System for Measuring Microwave Reflections from the Breast”, Sensors, Vol. 18(5), pp. 1-13, 2018.

  5. D. Kurrant, J. Bourquis, and E. Fear, “Surface estimation for microwave imaging”, Sensors, Vol. 17(7), pp. 1-20, 2017.

  6. D. Kurrant, A. Baran, J. LoVetri, and E. Fear, “Integrating prior information into microwave tomography part 2: Impact of errors in prior information on microwave tomography image quality”, Medical Physics, Vol. 44(12), 6482-6503, 2017.

  7. D. Kurrant, A. Baran, J. LoVetri, and E. Fear, “Integrating prior information into microwave tomography Part 1: Impact of detail on image quality”, Medical Physics, Vol. 44(12), 6461-6481, 2017.

  8. D. Kurrant, J. Bourquis, C. Curtis, and E. Fear, “Evaluation of 3D acquisition surfaces for radar-based microwave breast imaging”, IEEE Trans. Antennas and propagation, Vol. 63, 4910-4920, 2015.

  9. A. Baran, D. Kurrant, A. Zakaria, E. Fear, J. LoVetri, “Breast imaging using microwave tomography with radar-based tissue-regions estimation”, Progress In Electromagnetics Research, Vol. 149, pp. 161-171, 2014.

  10. D. Kurrant and E. Fear, “Segmenting an object into regions that dominate it’s underlying structure using near-field reflection data”, IEEE Trans. Microw. Theory Techn., Vol. 61, pp. 2137-45, 2013.

  11. D. Kurrant and E. Fear, “Technique to decompose near-field reflection data generated from an object consisting of thin dielectric layers”, IEEE Trans. Antennas and propagation, Vol. 60, pp. 3684-3692, 2012.

  12. D. Kurrant and E. Fear, “Regional estimation of the dielectric properties of inhomogeneous objects using near-field reflection data”, Inverse Problems, Vol. 28, pp. 1-27, 2012 (Selected in "2012 Highlights for Inverse Problems”).

  13. D. Kurrant and E. Fear, “Extraction of internal spatial features of inhomogeneous dielectric objects using near-field reflection data”, Progress in Electromagnetics Research, Vol. 122, pp. 197-221, 2012.

  14. Douglas J. Kurrant, Elise C. Fear “An Improved Technique to Predict the Time-of-Arrival of a Tumor Response Corrupted by Clutter”, IEEE Trans. Biomed. Eng.,Vol. 56, pp. 1200-1208, 2009.

  15. Douglas J. Kurrant, Elise C. Fear and David T. Westwick “Tumor Response Estimation in Radar-based Microwave Breast Cancer Detection,” IEEE Trans. Biomed. Eng.,Vol. 55, pp. 2801-11, 2008.

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Peer-refereed proceedings - papers

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  1. M. Omer, P. Mojabi, N. Abdollahi, D. Kurrant, I. Jeffrey, J. LoVetri, and E. Fear, “Breast Imaging with Multiphysics Prior for Improved Tumour Detection and Localization”, Proc. IEEE ANTEM, Waterloo, Ont., 2018.

  2. P. Mojabi, N. Abdollahi, M. Omer, D. Kurrant, I. Jeffrey, E. Fear, J. LoVetri, “Tissue-type imaging for ultrasound-prior microwave imaging”, Proc. IEEE ANTEM, Waterloo, Ont., Canada, 2018

  3. J. LoVetri, E. Fear, I. Jeffrey, M. Omer, P. Mojabi, D. Kurrant, and N. Abdollahi. “A Multimodal Ultrasound-Microwave Quantitative Imaging Technique for Breast Cancer”, Proc. IEEE EUCAP, London, England, 2018.

  4. D. Kurrant, J. Bourquis, and E. Fear, “Techniques for breast surface reconstruction with applications”, Proc. IEEE ANTEM, Montreal, Quebec, 2016 (Oral).

  5. D. Kurrant, E. Fear, A. Baran, and J. LoVetri, “Evaluating the impact of errors in prior information on performance of microwave tomography”, Proc. IEEE ANTEM, Montreal, Quebec, 2016 (Oral).

  6. M. Omer, D. Kurrant, and E. Fear. “Evaluating the impact of breast model complexity on microwave imaging signals”, Proc. IEEE EUCAP, Davos, Switzerland, 2016.

  7. D. Kurrant, A. Baran, E. Fear, and J. LoVetri, “Iterative refinement of the breast fibroglandular region using microwave tomography”, Proc. IEEE NEMO, Ottawa, Ontario, 2015 (Oral).

  8. A. Baran, D. Kurrant, E. Fear, and J. LoVetri, “Monitoring breast cancer treatment progress with microwave tomography and radar-based tissue-regions estimation”, Proc. IEEE EUCAP, Lisbon, Portugal, 2015.

  9. D. Kurrant and E. Fear, “Estimation of regional geometric and spatially averaged dielectric properties of an object”, in the IEEE International Symposium on Antennas and Propagation and USNC-URSI National Ratio Science Meeting, Chicago, Illinois, 2012 (Oral).

  10. D.J. Kurrant and E.C. Fear, “Regional Estimation of the dielectric properties of the breast: Skin, adipose, and fibroglandular tissues (invited),” Proc. IEEE EUCAP, Rome, Italy, April 11-15, 2011(Oral).

  11. D.J. Kurrant and E.C. Fear, “A Technique to Predict the Time-of-Arrival of a Tumor Response Corrupted by Clutter,” Proc. IEEE EMBC, Vancouver, B.C., Aug 20-24, 2008 (Oral).

  12. D.J. Kurrant, J.M. Sill, and E.C. Fear, “Tumor Response Estimation Algorithm for Radar-based Microwave Breast Cancer (invited),” in the 2008 General Assembly of URSI, Chicago, Illinois, USA, Aug 7 – 16, 2008 (Oral).

  13. D.J. Kurrant, E.C. Fear, and D.T. Westwick, “Clutter Reduction in Tissue Sensing Adaptive Radar (TSAR) Measurements Used For Early Stage Breast Cancer Detection (invited),” in 23rd Annual Applied Computational Electromagnetics Society (ACES) conference, Verona, Italy, 2007, pp. 876–881 (Oral).

  14. D.J. Kurrant, E.C. Fear, and D.T. Westwick, “Tumor Estimation in Tissue Sensing Adaptive Radar (TSAR) signals,” in 20th Canadian Conference on Electrical and Computer Engineering, Vancouver, B.C., April 22-26 2007, pp. 860-863 (Oral).

 

Peer-refereed proceedings – abstracts

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  1. A. Baran, D. Kurrant, E. Fear, and J. LoVetri, “Analysis of Optimal Microwave Imaging System and Algorithm Parameters for 3D Reconstructions of Breast Tissues”, IEEE URSI/GASS, Montreal, QC, 2017.

  2. A. Baran, J. LoVetri, D. Kurrant, and E. Fear, “Immersion medium independent microwave breast imaging”, IEEE URSI/GASS, Montreal, QC, 2017.

  3. M. Omer, P. Mojabi, D. Kurrant, A. Baran, J. LoVetri, and E. Fear, “Strategies for integrating ultrasound and microwave data for improved breast imaging”, IEEE URSI/GASS, Montreal, QC, 2017.

  4. D. Kurrant, A. Baran, E. Fear, and J. LoVetri, “Tumor tracking with microwave breast imaging using refined patient specific prior information”, IEEE AP/URSI, Vancouver, B.C.,2015 (Oral).

  5. A. Baran, D. Kurrant, A. Zakario, E. Fear, and J. LoVetri, “Immersion medium independent algorithm for breast microwave imaging”, IEEE AP/URSI, Vancouver, B.C.,2015.

  6. D. Kurrant, A. Baran, E. Fear, and J. LoVetri, “Microwave breast imaging using patient specific prior information”, Canadian Mathematical Society Summer meeting (invited), Charlottetown, PEI, 2015 (Oral).

  7. A. Baran, D. Kurrant, A. Zakario, E. Fear, and J. LoVetri, “Breast cancer imaging using microwave tomography with radar-derived prior information”, IEEE AP/URSI, Memphis, Tennessee, 2014.

  8. D. Kurrant and E. Fear, “Breast surface estimation and adaptive sensor positioning for microwave breast imaging”, Proc. 14th Alberta Biomedical engineering conference, Banff, 2013.

  9. D. Kurrant and E. Fear, “Estimation of Spatial Regional Averages of the Dielectric Properties of the Breast: Skin, Adipose, and Fibroglandular Tissues (invited)”, at the SIAM Applied Mathematics Perspectives – Medical and Seismic ICIAM meeting, Vancouver, B.C., July 12-17, 2011 (Oral).

 

Manuscripts in preparation

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  1. D. Kurrant, N. Abdollahi, M. Omer, P. Mojabi, E. Fear, and J. LoVetri, “Machine learning approach for early stopping regularization of FEM-CSI for microwave tomography”, 2019.

  2. D. Kurrant, M. Omer, and E. Fear, “Estimating Skin Response Embedded in Backscattered field with Deep learning methodology”, 2019.

  3. D. Kurrant, M. Omer, N. Abdollahi, P. Mojabi, E. Fear, and J. LoVetri, “Segmenting microwave images into tissue types using mask region convolution neural networks”, 2019.

 

Standard Patent Application

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  1. .Kurrant, D.J., Fear, E.C. (2014), “Technique to measure thickness in thin dielectric layers”, U.S. Patent Application No. (filed); Washington, D.C.: U.S.  Patent and Trademark Office.

 2. .Kurrant, D.J., Fear, E.C, and Westwick, D.T. (2009), “System and Methods for Identifying an Object within a Complex Environment”, U.S. Patent Application No. 12407671; Washington, D.C.: U.S. Patent and Trademark Office..

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Colloquia, invited talks and lectures

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10/2014           Monitoring breast cancer treatment progress with microwave tomography and radar-based tissue-regions estimation, Electromagnetic imaging lab, University of Manitoba.

12/2013           Monitoring breast cancer treatment progress with novel microwave imaging techniques, CORE RF Seminar, University of Calgary.

11/2013           Monitoring breast cancer treatment progress with novel microwave imaging techniques, Foothills hospital, Create I3T Advanced medical imaging series, University of Calgary.

10/2013           Monitoring breast cancer treatment progress with novel microwave imaging techniques, IEEE Waves chapter seminar, University of Manitoba.

10/2012           Estimation of regional geometric and spatially averaged dielectric properties of an object, Foothills hospital, Create I3T Advanced medical imaging series, University of Calgary.

04/2011           Regional estimation of dielectric properties of the breast: skin, adipose, and fibroglandular tissues, Computational electromagnetic group, University of Bristol, Bristol, UK.

04/2011           Regional estimation of dielectric properties of the breast: skin, adipose, and fibroglandular tissues, Signals and systems group, University of Chalmers, Gothenburg, Sweden.

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