The Experts below are selected from a list of 471 Experts worldwide ranked by ideXlab platform

Gonzalo R. Arce - One of the best experts on this subject based on the ideXlab platform.

  • Spatio-spectral Modulation Using a Binary Photomask for Compressive Chromotomography
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Xuesong Zhang, Jing Jiang, Anlong Ming, Xuejing Kang, Gonzalo R. Arce
    Abstract:

    Recent advances in compressive spectral imagers have demonstrated the potential of spatio-spectral modulation (SSM) for improved reconstruction performance. Existing SSM techniques, however, use either a color filter array or a complex optical arrangement, both of which can only provide limited modulation bandwidth in the spectral dimension. This paper proposes a practical SSM method to help address the "missing cone" problem of chromo-tomography. A high-resolution binary coded aperture is used to modulate the dispersed images, which in the Fourier domain fulfills a 3D convolution of the probed spectrum with the aperture's wide spectrum. This spectrum spreading process facilitates the compressed sensing strategy determined by the Fourier Slice Theorem and we demonstrate the advantages of the proposed approach with numerical experiments.

  • ICASSP - Spatio-spectral Modulation Using a Binary Photomask for Compressive Chromotomography
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Xuesong Zhang, Jing Jiang, Anlong Ming, Xuejing Kang, Gonzalo R. Arce
    Abstract:

    Recent advances in compressive spectral imagers have demonstrated the potential of spatio-spectral modulation (SSM) for improved reconstruction performance. Existing SSM techniques, however, use either a color filter array or a complex optical arrangement, both of which can only provide limited modulation bandwidth in the spectral dimension. This paper proposes a practical SSM method to help address the "missing cone" problem of chromo-tomography. A high-resolution binary coded aperture is used to modulate the dispersed images, which in the Fourier domain fulfills a 3D convolution of the probed spectrum with the aperture’s wide spectrum. This spectrum spreading process facilitates the compressed sensing strategy determined by the Fourier Slice Theorem and we demonstrate the advantages of the proposed approach with numerical experiments.

Xuesong Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Spatio-spectral Modulation Using a Binary Photomask for Compressive Chromotomography
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Xuesong Zhang, Jing Jiang, Anlong Ming, Xuejing Kang, Gonzalo R. Arce
    Abstract:

    Recent advances in compressive spectral imagers have demonstrated the potential of spatio-spectral modulation (SSM) for improved reconstruction performance. Existing SSM techniques, however, use either a color filter array or a complex optical arrangement, both of which can only provide limited modulation bandwidth in the spectral dimension. This paper proposes a practical SSM method to help address the "missing cone" problem of chromo-tomography. A high-resolution binary coded aperture is used to modulate the dispersed images, which in the Fourier domain fulfills a 3D convolution of the probed spectrum with the aperture's wide spectrum. This spectrum spreading process facilitates the compressed sensing strategy determined by the Fourier Slice Theorem and we demonstrate the advantages of the proposed approach with numerical experiments.

  • ICASSP - Spatio-spectral Modulation Using a Binary Photomask for Compressive Chromotomography
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Xuesong Zhang, Jing Jiang, Anlong Ming, Xuejing Kang, Gonzalo R. Arce
    Abstract:

    Recent advances in compressive spectral imagers have demonstrated the potential of spatio-spectral modulation (SSM) for improved reconstruction performance. Existing SSM techniques, however, use either a color filter array or a complex optical arrangement, both of which can only provide limited modulation bandwidth in the spectral dimension. This paper proposes a practical SSM method to help address the "missing cone" problem of chromo-tomography. A high-resolution binary coded aperture is used to modulate the dispersed images, which in the Fourier domain fulfills a 3D convolution of the probed spectrum with the aperture’s wide spectrum. This spectrum spreading process facilitates the compressed sensing strategy determined by the Fourier Slice Theorem and we demonstrate the advantages of the proposed approach with numerical experiments.

W. Xiong - One of the best experts on this subject based on the ideXlab platform.

  • An iterative method of ultrasonic reflection mode tomography
    IEEE Transactions on Medical Imaging, 1994
    Co-Authors: W. Xiong
    Abstract:

    Based on the Fourier Slice Theorem used in X-ray tomography and paraxial approximation, an iterative method was developed to eliminate the influence of wavefront curvature on reconstructed images. Computer simulations showed that the quality of reconstructed images was apparently improved by using the method. In comparison with already existing methods, the present method is more practical and can be used for limited angle reflection mode tomographic imaging.

J. Oksman - One of the best experts on this subject based on the ideXlab platform.

  • Ultrasonic reflection mode computed tomography through a skullbone
    IEEE Transactions on Biomedical Engineering, 1990
    Co-Authors: J. Ylitalo, J. Koivukangas, J. Oksman
    Abstract:

    An ultrasonic reflection-mode CT (computed tomography) method was applied to transskull imaging of the brain. The method involves only a single transducer and a single scan to acquire data from the object. In reconstruction an ordinary Fourier Slice Theorem is applied. The average velocity changes of ultrasound due to the skullbone can be compensated. In experiments the object immersed in water was scanned by a wide-angle transducer through the viewing angle of 360 degrees . When imaging through bone a simplified approach was used, in which a piece of skullbone (thickness 3-4 mm) was attached firmly to the transducer. For comparison, the same object was then imaged without the skullbone. A two-point resolution better than 3 mm was achieved for transskull imaging using 1 MHz ultrasound. The experiments with brain specimens show that transskull images compare well with the images of the same specimens obtained without the bone interference. The findings are clinically significant in terms of pediatric brain diagnosis and postoperative follow up. Based on the method, a clinical prototype imager is currently being developed especially for diagnosis of children's brain diseases.

Thomas M. Talavage - One of the best experts on this subject based on the ideXlab platform.

  • EMBC - Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier Slice Theorem.
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2014
    Co-Authors: Il Yong Chun, Ben Adcock, Thomas M. Talavage
    Abstract:

    : X-ray computed tomography (CT) scanners provide clinical value through high resolution and fast imaging. However, achievement of higher signal-to-noise ratios generally requires emission of more X-rays, resulting in greater dose delivered to the body of the patient. This is of concern, as higher dose leads to greater risk of cancer, particularly for those exposed at a younger age. Therefore, it is desirable to achieve comparable scan quality while limiting X-ray dose. One means to achieve this compound goal is the use of compressed sensing (CS). A novel framework is presented to combine CS theory with X-ray CT. According to the tensor discrete Fourier Slice Theorem, the 1-D DFT of discrete Radon transform data is exactly mapped on a Cartesian 2-D DFT grid. The nonuniform random density sampling of Fourier coefficients is made feasible by uniformly sampling projection angles at random. Application of the non-convex CS model further reduces the sufficient number of measurements by enhancing sparsity. The numerical results show that, with limited projection data, the non-convex CS model significantly improves reconstruction performance over the convex model.

  • Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier Slice Theorem
    2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
    Co-Authors: Il Yong Chun, Ben Adcock, Thomas M. Talavage
    Abstract:

    X-ray computed tomography (CT) scanners provide clinical value through high resolution and fast imaging. However, achievement of higher signal-to-noise ratios generally requires emission of more X-rays, resulting in greater dose delivered to the body of the patient. This is of concern, as higher dose leads to greater risk of cancer, particularly for those exposed at a younger age. Therefore, it is desirable to achieve comparable scan quality while limiting X-ray dose. One means to achieve this compound goal is the use of compressed sensing (CS). A novel framework is presented to combine CS theory with X-ray CT. According to the tensor discrete Fourier Slice Theorem, the 1-D DFT of discrete Radon transform data is exactly mapped on a Cartesian 2-D DFT grid. The nonuniform random density sampling of Fourier coefficients is made feasible by uniformly sampling projection angles at random. Application of the non-convex CS model further reduces the sufficient number of measurements by enhancing sparsity. The numerical results show that, with limited projection data, the non-convex CS model significantly improves reconstruction performance over the convex model.