The Experts below are selected from a list of 5814 Experts worldwide ranked by ideXlab platform

Thomas C Putti - One of the best experts on this subject based on the ideXlab platform.

  • effect of lesion morphology on Microwave Signature in 2 d ultra wideband breast imaging
    IEEE Transactions on Biomedical Engineering, 2008
    Co-Authors: E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, Thomas C Putti
    Abstract:

    This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their Microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter Microwave Signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.

E Gunawan - One of the best experts on this subject based on the ideXlab platform.

  • effect of lesion morphology on Microwave Signature in 2 d ultra wideband breast imaging
    IEEE Transactions on Biomedical Engineering, 2008
    Co-Authors: E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, Thomas C Putti
    Abstract:

    This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their Microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter Microwave Signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.

  • effect of lesion morphology on Microwave Signature in ultra wideband breast imaging a preliminary two dimensional investigation
    IEEE Antennas and Propagation Society International Symposium, 2007
    Co-Authors: Yifan Chen, E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, J Lavanya
    Abstract:

    This paper explores the influence of tumor morphology on backscatter signal characteristics for UWB breast cancer detection. As the resonance scattering phenomenon varies with the border profiles of the lesions, it could be potentially useful for discriminating between malignant and benign masses. Further works would include a more comprehensive discussion on the correlation between resonances and tumor morphologies.

N S Meshalkina - One of the best experts on this subject based on the ideXlab platform.

  • Microwave Signature of relativistic positrons in solar flares
    Publications of the Astronomical Society of Japan, 2013
    Co-Authors: Gregory D Fleishman, Alexander T Altyntsev, N S Meshalkina
    Abstract:

    Relativistic antiparticles can be created in high-energy nuclear interactions; thus, the detection of antiparticles in an astrophysical source can tell us something remarkable about the underlying high-energy processes and nuclear interactions. However, once created, the antiparticles remain a minor fraction of their conjugant normal particles, so the detection of the antiparticles represents a big science challenge. To address this challenge we employ the imaging and polarimetry of Microwave radiation produced as the positrons gyrate in the ambient magnetic field. The key property of the radiation used in this method is that the oppositely charged particles, electrons and positrons, produce radiation with opposite helicity, easily distinguishable by currently operating radio facilities. Analysis of available spatially resolved Microwave data augmented by independent magnetic field measurements allows us to remotely detect the relativistic positron component in several solar flares.

  • Microwave Signature of relativistic positrons in solar flares
    arXiv: Solar and Stellar Astrophysics, 2013
    Co-Authors: Gregory D Fleishman, Alexander T Altyntsev, N S Meshalkina
    Abstract:

    Relativistic antiparticles can be created in high-energy nuclear interactions; thus, detection of antiparticles in an astrophysical source can tell us something remarkable about the underlying high-energy processes and nuclear interactions. However, once created, the antiparticles remain a minor fraction of their conjugant normal particles, so the detection of the antiparticles represents a big science challenge. To address this challenge we employ imaging and polarimetry of Microwave radiation produced as the positrons gyrate in the ambient magnetic field. The key property of the radiation used in this method is that the oppositely charged particles, electrons and positrons, produce radiation with opposite helicity, easily distinguishable by currently operating radio facilities. Analysis of available spatially resolved Microwave data augmented by independent magnetic field measurements allows us to remotely detect the relativistic positron component in several solar flares.

Cheong Boon Soh - One of the best experts on this subject based on the ideXlab platform.

  • effect of lesion morphology on Microwave Signature in 2 d ultra wideband breast imaging
    IEEE Transactions on Biomedical Engineering, 2008
    Co-Authors: E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, Thomas C Putti
    Abstract:

    This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their Microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter Microwave Signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.

  • effect of lesion morphology on Microwave Signature in ultra wideband breast imaging a preliminary two dimensional investigation
    IEEE Antennas and Propagation Society International Symposium, 2007
    Co-Authors: Yifan Chen, E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, J Lavanya
    Abstract:

    This paper explores the influence of tumor morphology on backscatter signal characteristics for UWB breast cancer detection. As the resonance scattering phenomenon varies with the border profiles of the lesions, it could be potentially useful for discriminating between malignant and benign masses. Further works would include a more comprehensive discussion on the correlation between resonances and tumor morphologies.

Shihchang Wang - One of the best experts on this subject based on the ideXlab platform.

  • effect of lesion morphology on Microwave Signature in 2 d ultra wideband breast imaging
    IEEE Transactions on Biomedical Engineering, 2008
    Co-Authors: E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, Thomas C Putti
    Abstract:

    This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their Microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter Microwave Signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.

  • effect of lesion morphology on Microwave Signature in ultra wideband breast imaging a preliminary two dimensional investigation
    IEEE Antennas and Propagation Society International Symposium, 2007
    Co-Authors: Yifan Chen, E Gunawan, Kay Soon Low, Shihchang Wang, Cheong Boon Soh, J Lavanya
    Abstract:

    This paper explores the influence of tumor morphology on backscatter signal characteristics for UWB breast cancer detection. As the resonance scattering phenomenon varies with the border profiles of the lesions, it could be potentially useful for discriminating between malignant and benign masses. Further works would include a more comprehensive discussion on the correlation between resonances and tumor morphologies.