Literature DB >> 27223245

Scattering and reflection identification in H-scan images.

K J Parker1.   

Abstract

Medical ultrasound imaging scanners typically display the envelope of the reflected signal on a log scale. The properties of this image and speckle patterns from collections of scatterers have a number of well-known disadvantages. One is the inability to differentiate between different scatterers that may have fundamentally different frequency-dependent scattering cross sections. This study proposes a framework for characterizing scattering behavior and visualizing the results as color coding of the B-scan image. The methodology matches a model of pulse-echo formation from typical situations to the mathematics of Gaussian weighted Hermite functions. The results show an ability to reveal some of the information otherwise hidden in the conventional envelope display, and can be generalized to more conventional bandlimited pulse functions. This new class of images is termed H-scan where 'H' stands for 'Hermite' or 'hue' to distinguish it from conventional B-scan format.

Mesh:

Year:  2016        PMID: 27223245     DOI: 10.1088/0031-9155/61/12/L20

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  12 in total

1.  Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.

Authors:  Zara Vajihi; Ivan M Rosado-Mendez; Timothy J Hall; Hassan Rivaz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-09-12       Impact factor: 2.725

2.  Adaptive attenuation correction during H-scan ultrasound imaging using K-means clustering.

Authors:  Haowei Tai; Mawia Khairalseed; Kenneth Hoyt
Journal:  Ultrasonics       Date:  2019-08-23       Impact factor: 2.890

3.  H-scan sensitivity to scattering size.

Authors:  Mawia Khairalseed; Kenneth Hoyt; Juvenal Ormachea; Alberto Terrazas; Kevin J Parker
Journal:  J Med Imaging (Bellingham)       Date:  2017-11-06

4.  Contrast-enhanced ultrasound imaging using pulse inversion spectral deconvolution.

Authors:  Mawia Khairalseed; Ipek Oezdemir; Kenneth Hoyt
Journal:  J Acoust Soc Am       Date:  2019-10       Impact factor: 1.840

5.  Fine-tuning the H-scan for discriminating changes in tissue scatterers.

Authors:  Kevin J Parker; Jihye Baek
Journal:  Biomed Phys Eng Express       Date:  2020-05-20

6.  Spatial Angular Compounding Technique for H-Scan Ultrasound Imaging.

Authors:  Mawia Khairalseed; Fangyuan Xiong; Jung-Whan Kim; Robert F Mattrey; Kevin J Parker; Kenneth Hoyt
Journal:  Ultrasound Med Biol       Date:  2017-10-12       Impact factor: 2.998

7.  Three-Dimensional H-Scan Ultrasound Imaging of Early Breast Cancer Response to Neoadjuvant Therapy in a Murine Model.

Authors:  Haowei Tai; Jane Song; Junjie Li; Shreya Reddy; Mawia Khairalseed; Kenneth Hoyt
Journal:  Invest Radiol       Date:  2022-04-01       Impact factor: 10.065

8.  3-D H-Scan Ultrasound Imaging and Use of a Convolutional Neural Network for Scatterer Size Estimation.

Authors:  Haowei Tai; Mawia Khairalseed; Kenneth Hoyt
Journal:  Ultrasound Med Biol       Date:  2020-07-09       Impact factor: 2.998

9.  H-scan, Shear Wave and Bioluminescent Assessment of the Progression of Pancreatic Cancer Metastases in the Liver.

Authors:  Jihye Baek; Rifat Ahmed; Jian Ye; Scott A Gerber; Kevin J Parker; Marvin M Doyley
Journal:  Ultrasound Med Biol       Date:  2020-09-06       Impact factor: 3.694

10.  H-scan analysis of thyroid lesions.

Authors:  Gary R Ge; Rosa Laimes; Joseph Pinto; Jorge Guerrero; Himelda Chavez; Claudia Salazar; Roberto J Lavarello; Kevin J Parker
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-07
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