Optimization of multi-pulse sequences for nonlinear contrast agent imaging using a cMUT array Article Swipe
Anthony Novell
,
Christopher B. Arena
,
Sandeep K. Kasoji
,
Paul A. Dayton
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/0031-9155/60/8/3111
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/0031-9155/60/8/3111
Capacitive micromachined ultrasonic transducer (cMUT) technology provides advantages such as wide frequency bandwidth, which can be exploited for contrast agent imaging. Nevertheless, the efficiency of traditional multi-pulse imaging schemes, such as pulse inversion (PI), remains limited because of the intrinsic nonlinear character of cMUTs. Recently, a new contrast imaging sequence, called bias voltage modulation sequence (BVM), has been specifically developed for cMUTs to suppress their unwanted nonlinear behavior. In this study, we propose to optimize contrast agent detection by combining the BVM sequence with PI and/or chirp reversal (CR). An aqueous dispersion of lipid encapsulated microbubbles was exposed to several combinations of multi-pulse imaging sequences. Approaches were evaluated in vitro using 9 inter-connected elements of a cMUT linear array (excitation frequency of 4 MHz; peak negative pressure of 100 kPa). For sequences using chirp excitations, a specific compression filter was designed to compress and extract several nonlinear components from the received microbubble responses. A satisfactory cancellation of the nonlinear signal from the source is achieved when BVM is combined with PI and CR. In comparison with PI and CR imaging modes alone, using sequences incorporating BVM increases the contrast-to-tissue ratio by 10.0 dB and 4.6 dB, respectively. Furthermore, the combination of BVM with CR and PI results in a significant increase of the contrast-to-noise ratio (+29 dB). This enhancement is attributed to the use of chirps as excitation signals and the improved preservation of several nonlinear components contained within the contrast agent response.
Related Topics
Concepts
Microbubbles
Contrast (vision)
Nonlinear system
Chirp
Capacitive micromachined ultrasonic transducers
Materials science
Transducer
Pulse sequence
Second-harmonic imaging microscopy
Acoustics
Bandwidth (computing)
Biomedical engineering
Computer science
Optics
Ultrasound
Physics
Nuclear magnetic resonance
Telecommunications
Second-harmonic generation
Laser
Quantum mechanics
Medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/0031-9155/60/8/3111
- OA Status
- green
- Cited By
- 4
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2068075687
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2068075687Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/0031-9155/60/8/3111Digital Object Identifier
- Title
-
Optimization of multi-pulse sequences for nonlinear contrast agent imaging using a cMUT arrayWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-03-24Full publication date if available
- Authors
-
Anthony Novell, Christopher B. Arena, Sandeep K. Kasoji, Paul A. DaytonList of authors in order
- Landing page
-
https://doi.org/10.1088/0031-9155/60/8/3111Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/0031-9155/60/8/3111Direct OA link when available
- Concepts
-
Microbubbles, Contrast (vision), Nonlinear system, Chirp, Capacitive micromachined ultrasonic transducers, Materials science, Transducer, Pulse sequence, Second-harmonic imaging microscopy, Acoustics, Bandwidth (computing), Biomedical engineering, Computer science, Optics, Ultrasound, Physics, Nuclear magnetic resonance, Telecommunications, Second-harmonic generation, Laser, Quantum mechanics, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2020: 2, 2015: 1, 2014: 1Per-year citation counts (last 5 years)
- References (count)
-
46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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