Literature DB >> 28975635

Toward optimization of in vivo super-resolution ultrasound imaging using size-selected microbubble contrast agents.

Debabrata Ghosh1,2, Fangyuan Xiong1,3, Shashank R Sirsi1,2, Philip W Shaul4, Robert F Mattrey2, Kenneth Hoyt1,2.   

Abstract

PURPOSE: Microvascular processes play key roles in many diseases including diabetes. Improved understanding of the microvascular changes involved in disease development could offer crucial insight into the relationship of these changes to disease pathogenesis. Super-resolution ultrasound (SR-US) imaging has showed the potential to visualize microvascular detail down to the capillary level (i.e., subwavelength resolution), but optimization is still necessary. The purpose of this study was to investigate in vivo SR-US imaging of skeletal muscle microvascularity using microbubble (MB) contrast agents of various size and concentration while evaluating different ultrasound (US) system level parameters such as imaging frame rate and image acquisition length.
METHODS: An US system equipped with a linear array transducer was used in a harmonic imaging mode at low transmit power. C57BL/6J mice fed a normal diet were used in this study. An assortment of size-selected MB contrast agents (1-2 μm, 3-4 μm, and 5-8 μm in diameter) were slowly infused in the tail vein at various doses (1.25 × 107 , 2.5 × 107 , or 5 × 107  MBs). US image data were collected before MB injection and thereafter for 10 min at 30 frames per s (fps). The US transducer was fixed throughout and between each imaging period to help capture microvascular patterns along the same image plane. An adaptive SR-US image processing technique was implemented using custom Matlab software.
RESULTS: Experimental findings illustrate the use of larger MB results in better SR-US images in terms of skeletal muscle microvascular detail. A dose of 2.5 × 107  MBs resulted in SR-US images with optimal spatial resolution. An US imaging rate of at least 20 fps and image acquisition length of at least 8 min also resulted in SR-US images with pronounced microvascular detail.
CONCLUSIONS: This study indicates that MB size and dose and US system imaging rate and data acquisition length have significant impact on the quality of in vivo SR-US images of skeletal muscle microvascularity.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  contrast-enhanced ultrasound; diabetes; microbubbles; super-resolution ultrasound

Mesh:

Substances:

Year:  2017        PMID: 28975635      PMCID: PMC5734623          DOI: 10.1002/mp.12606

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  23 in total

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4.  A super-resolution ultrasound method for brain vascular mapping.

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Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

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Authors:  O M Viessmann; R J Eckersley; K Christensen-Jeffries; M X Tang; C Dunsby
Journal:  Phys Med Biol       Date:  2013-09-02       Impact factor: 3.609

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Authors:  Shashank Sirsi; Jameel Feshitan; James Kwan; Shunichi Homma; Mark Borden
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8.  Quantitative mapping of tumor vascularity using volumetric contrast-enhanced ultrasound.

Authors:  Kenneth Hoyt; Anna Sorace; Reshu Saini
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9.  Obesity and type 2 diabetes: what can be unified and what needs to be individualized?

Authors:  Robert H Eckel; Steven E Kahn; Ele Ferrannini; Allison B Goldfine; David M Nathan; Michael W Schwartz; Robert J Smith; Steven R Smith
Journal:  J Clin Endocrinol Metab       Date:  2011-06       Impact factor: 5.958

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Journal:  Imaging Med       Date:  2014-02-01
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2.  Multiscale and morphological analysis of microvascular patterns depicted in contrast-enhanced ultrasound images.

Authors:  Ipek Oezdemir; Jun Peng; Debabrata Ghosh; Shashank Sirsi; Chieko Mineo; Philip W Shaul; Kenneth Hoyt
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4.  Faster super-resolution ultrasound imaging with a deep learning model for tissue decluttering and contrast agent localization.

Authors:  Katherine G Brown; Scott Chase Waggener; Arthur David Redfern; Kenneth Hoyt
Journal:  Biomed Phys Eng Express       Date:  2021-10-25

5.  Super-Resolution Ultrasound Imaging of Skeletal Muscle Microvascular Dysfunction in an Animal Model of Type 2 Diabetes.

Authors:  Debabrata Ghosh; Jun Peng; Katherine Brown; Shashank Sirsi; Chieko Mineo; Philip W Shaul; Kenneth Hoyt
Journal:  J Ultrasound Med       Date:  2019-01-31       Impact factor: 2.153

6.  Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.

Authors:  Katherine G Brown; Debabrata Ghosh; Kenneth Hoyt
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2020-04-15       Impact factor: 2.725

7.  Effect of Acoustic Parameters and Microbubble Concentration on the Likelihood of Encapsulated Microbubble Coalescence.

Authors:  David Q Le; Virginie Papadopoulou; Paul A Dayton
Journal:  Ultrasound Med Biol       Date:  2021-07-31       Impact factor: 3.694

8.  Comparison of superb microvascular imaging and shear wave elastography for assessing liver fibrosis in chronic hepatitis B.

Authors:  Mesude Tosun; Hande Uslu
Journal:  Ultrasonography       Date:  2021-11-25

9.  Super-Resolution Imaging With Ultrafast Ultrasound Imaging of Optically Triggered Perfluorohexane Nanodroplets.

Authors:  Heechul Yoon; Kristina A Hallam; Changhan Yoon; Stanislav Y Emelianov
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-04-24       Impact factor: 2.725

  9 in total

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