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Parker Medical Imaging Research

The H-scan for Identification of Scatterers

The H-scan is based on a simplified framework for characterizing scattering behavior, and visualizing the results as color-coding of the B-scan image. The methodology begins with a standard convolution model of pulse-echo formation from typical situations, and then matches those results to the mathematics of Gaussian Weighted Hermite Functions. In this framework, echoes can be classified as returning from specific categories of scatterers, and these can be conveniently displayed as colors. Thus, some information not evident in conventional grayscale pulse-echo images can be visualized in the H-scan format. Learn more about the H-scan at the links below and the journal articles following.

Journal Articles

  1. Multiparametric ultrasound imaging for the assessment of normal versus steatotic livers
    L. Basavarajappa, J. Baek, S. Reddy, J. Song, H. Tai, G. Rijal, K. J. Parker, and K. Hoyt
    Nature Scientific Reports, vol. 11, no. 1 , pp. 2655-1 -2655-11  (2021). View PDF
  2. Scattering signatures of normal versus abnormal livers with support vector machine classification
    J. Baek, S. S. Poul, T. A. Swanson, T. A. Tuthill, and K. J. Parker
    Ultrasound Med Bio, vol. 46, no. 12 , pp. 3379 -3392  (2020). View PDF
  3. H-scan, shear wave and bioluminescent assessment of the progression of pancreatic cancer metastases in the liver
    J. Baek, R. Ahmed, J. Ye, S. A. Gerber, K. J. Parker, and M. M. Doyley
    Ultrasound Med Biol, vol. 46, no. 12 , pp. 3369 -3378  (2020). View PDF
  4. Early assessment of nonalcoholic fatty liver disease using multiparametric ultrasound imaging
    L. Basavarajappa, S. Reddy, H. Tai, J. Song, G. Rijal, K. J. Parker, and K. Hoyt
    Proceedings, IEEE Ultrasonics Symposium (IUS) , pp. 1 -4  (2020). View PDF
  5. Support vector machine (SVM) based liver classification: fibrosis, steatosis, and inflammation
    J. Baek, T. A. Swanson, T. A. Tuthill, and K. J. Parker
    Proceedings, IEEE Ultrasonics Symposium (IUS) , pp. 1 -4  (2020). View PDF
  6. Fine-tuning the H-scan for discriminating changes in tissue scatterers
    K. J. Parker and J. Baek
    Biomed Phys Eng Express, vol. 6, no. 4 , pp. 045012-1 -045012-15  (2020). View PDF
  7. Monitoring early breast cancer response to neoadjuvant therapy using H-scan ultrasound imaging: preliminary preclinical results
    M. Khairalseed, K. Javed, G. Jashkaran, J. W. Kim, K. J. Parker, and K. Hoyt
    J Ultrasound Med, vol. 38, no. 5 , pp. 1259 -1268  (2019). View PDF
  8. Real-time H-scan ultrasound imaging using a Verasonics research scanner
    M. Khairalseed, K. Brown, K. J. Parker, and K. Hoyt
    Ultrasonics, vol. 94 , pp. 28 -36  (2019). View PDF
  9. Concentric layered Hermite scatterers
    J. P. Astheimer and K. J. Parker
    Phys Lett A, vol. 382, no. 21 , pp. 1379 -1382  (2018). View PDF
  10. H-scan analysis of thyroid lesions
    G. R. Ge, R. Laimas, J. Pinto, J. Guerrero, H. Chavez, C. Salazar, R. J. Lavarello, and K. J. Parker
    J Med Imaging, vol. 5, no. 1 , pp. 013505-1 -013505-9  (2018). View PDF
  11. Spatial angular compounding technique for H-scan ultrasound imaging
    M. Khairalseed, F. Xiong, J. Kim, R. F. Mattrey, K. J. Parker, and K. Hoyt
    Ultrasound Med Biol, vol. 44, no. 1 , pp. 267 -277  (2018). View PDF
  12. H-scan sensitivity to scattering size
    M. Khairalseed, K. Hoyt, J. Ormachea, A. Terrazas, and K. J. Parker
    J Med Imaging, vol. 4, no. 4 , pp. 043501-1 -043501-7  (2017). View PDF
  13. Hermite scatterers in an ultraviolet sky
    K. J. Parker
    Phys Lett A, vol. 381, no. 46 , pp. 3845 -3848  (2017). View PDF
  14. The H-Scan format for classification of ultrasound scattering
    K. J. Parker
    OMICS Journal of Radiology, vol. 5, no. 5 , p. 1000236  (2016). View Online
  15. Scattering and reflection identification in H-scan images
    K. J. Parker
    Physics in Medicine and Biology, vol. 61, no. 12 , pp. L20 -L28  (2016). View Online