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Acquired Datasets

The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform

Jerry L. Prince – 1st expert on this subject based on the ideXlab platform

  • ISBI – TruHARP: single breath-hold MRI for high resolution cardiac motion and strain quantification
    Proceedings. IEEE International Symposium on Biomedical Imaging, 2009
    Co-Authors: Harsh K. Agarwal, Khaled Z. Abd-elmoniem, Jerry L. Prince

    Abstract:

    MRI techniques for tissue motion and strain quantifications have limited resolution because of interference from the conjugate echo or spectral peak in Fourier space. Methods have been proposed to remove this interference in order to improve resolution; however, these methods are clinically impractical due to long image acquisition time. In this paper, we propose TruHARP, an MRI motion and strain quantification methodology that involves a novel single breath-hold imaging protocol. In post-processing, TruHARP separates the spectral peaks in the Acquired Datasets, enabling high resolution motion and strain quantification. The impact of high resolution on circumferential and radial strain is studied using a realistic simulation and the improvement in strain maps is demonstrated in an in-vivo human study.

  • TruHARP: single breath-hold MRI for high resolution cardiac motion and strain quantification
    2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009
    Co-Authors: Harsh K. Agarwal, Khaled Z. Abd-elmoniem, Jerry L. Prince

    Abstract:

    MRI techniques for tissue motion and strain quantifications have limited resolution because of interference from the conjugate echo or spectral peak in Fourier space. Methods have been proposed to remove this interference in order to improve resolution; however, these methods are clinically impractical due to long image acquisition time. In this paper, we propose TruHARP, an MRI motion and strain quantification methodology that involves a novel single breath-hold imaging protocol. In post-processing, TruHARP separates the spectral peaks in the Acquired Datasets, enabling high resolution motion and strain quantification. The impact of high resolution on circumferential and radial strain is studied using a realistic simulation and the improvement in strain maps is demonstrated in an in-vivo human study.

Harsh K. Agarwal – 2nd expert on this subject based on the ideXlab platform

  • ISBI – TruHARP: single breath-hold MRI for high resolution cardiac motion and strain quantification
    Proceedings. IEEE International Symposium on Biomedical Imaging, 2009
    Co-Authors: Harsh K. Agarwal, Khaled Z. Abd-elmoniem, Jerry L. Prince

    Abstract:

    MRI techniques for tissue motion and strain quantifications have limited resolution because of interference from the conjugate echo or spectral peak in Fourier space. Methods have been proposed to remove this interference in order to improve resolution; however, these methods are clinically impractical due to long image acquisition time. In this paper, we propose TruHARP, an MRI motion and strain quantification methodology that involves a novel single breath-hold imaging protocol. In post-processing, TruHARP separates the spectral peaks in the Acquired Datasets, enabling high resolution motion and strain quantification. The impact of high resolution on circumferential and radial strain is studied using a realistic simulation and the improvement in strain maps is demonstrated in an in-vivo human study.

  • TruHARP: single breath-hold MRI for high resolution cardiac motion and strain quantification
    2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009
    Co-Authors: Harsh K. Agarwal, Khaled Z. Abd-elmoniem, Jerry L. Prince

    Abstract:

    MRI techniques for tissue motion and strain quantifications have limited resolution because of interference from the conjugate echo or spectral peak in Fourier space. Methods have been proposed to remove this interference in order to improve resolution; however, these methods are clinically impractical due to long image acquisition time. In this paper, we propose TruHARP, an MRI motion and strain quantification methodology that involves a novel single breath-hold imaging protocol. In post-processing, TruHARP separates the spectral peaks in the Acquired Datasets, enabling high resolution motion and strain quantification. The impact of high resolution on circumferential and radial strain is studied using a realistic simulation and the improvement in strain maps is demonstrated in an in-vivo human study.

Motoyuki Sato – 3rd expert on this subject based on the ideXlab platform

  • IGARSS – Robust Subsurface Velocity Change Detection Method with Yakumo Multistatic GPR System
    IGARSS 2019 – 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Kazutaka Kikuta, Li Yi, Motoyuki Sato

    Abstract:

    To detect pavement damage of airport taxiway caused by cracks inside layer, we applied a novel method to common midpoint (CMP) dataset obtained by multistatic ground penetrating radar (GPR) system YAKUMO. Thin cracks within asphalt layers cause slight variation to the electromagnetic (EM) signal propagation velocity. The proposed method can show higher-resolution images of velocity changes of two different time set data with a small number of CMP traces. YAKUMO can acquire several parallel distributed CMP Datasets at each position while moving the system linearly in real time, which makes it possible to apply this method to large-scale inspections. In this research, we Acquired Datasets at an airport taxi-way model with artificial damages at several times over a year. The Datasets are analyzed with the proposed method to find out how the conditions of pavement changes by pressurization and time course. The results show that the method can detect not only overall change but also local area changes.

  • Robust Subsurface Velocity Change Detection Method with Yakumo Multistatic GPR System
    IGARSS 2019 – 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Kazutaka Kikuta, Li Yi, Motoyuki Sato

    Abstract:

    To detect pavement damage of airport taxiway caused by cracks inside layer, we applied a novel method to common midpoint (CMP) dataset obtained by multistatic ground penetrating radar (GPR) system YAKUMO. Thin cracks within asphalt layers cause slight variation to the electromagnetic (EM) signal propagation velocity. The proposed method can show higher-resolution images of velocity changes of two different time set data with a small number of CMP traces. YAKUMO can acquire several parallel distributed CMP Datasets at each position while moving the system linearly in real time, which makes it possible to apply this method to large-scale inspections. In this research, we Acquired Datasets at an airport taxi-way model with artificial damages at several times over a year. The Datasets are analyzed with the proposed method to find out how the conditions of pavement changes by pressurization and time course. The results show that the method can detect not only overall change but also local area changes.