Computational Ultrasound Imaging and Applications, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 1424
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Special Issue Editors
Interests: ultrasound imaging; photoacoustics; signal processing; aberration correction; beamforming; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: ultrasound imaging; photoacoustics; signal processing; aberration correction; beamforming; laser- and ultrasound-based measurement techniques; adaptive wavefront shaping and aberration correcting systems; advanced measurement systems in biology
Special Issues, Collections and Topics in MDPI journals
2. Institute of Applied Physics, Faculty of Natural Sciences, TU Dresden, 01062 Dresden, Germany
Interests: ultrasound imaging; photoacoustics; signal processing; aberration correction; beamforming; laser- and ultrasound-based measurement techniques; adaptive wavefront shaping and aberration correcting systems; advanced measurement systems in biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The availability of enormous computational resources has spurred the recent transition from fixed-purpose devices to software-defined ultrasound platforms. This paradigm shift enables new signal processing approaches that can vastly improve the performance of an ultrasound imaging system; transitioning the image formation from conventional scanning to computational beamforming allows recording at very high framerates. The localization and tracking of nonlinear scatterers can improve the spatial resolution below the diffraction limit. Adaptive imaging and aberration correction allows one to image through scattering media. Machine-learning-based approaches can solve inverse problems in real time and make novel measurement modalities accessible. These advancements have the potential to open up a broad variety of new applications: medical imaging and diagnostics, such as functional ultrasound, experimental research of complex, turbulent flows and in situ imaging of industrial processes in harsh environments.
This Special Issue addresses the recent trend toward computational ultrasound imaging. It welcomes contributions (original research articles or reviews) from a broad spectrum of fields, which focus on the methods, implementation and applications of computational ultrasound imaging.
Dr. Richard Nauber
Dr. Lars Buettner
Prof. Dr. Jürgen W. Czarske
Guest Editors
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Keywords
- methods:
- super resolution
- machine learning
- beamforming
- photoacoustics
- elastography
- tomography and solution to the inverse problem
- compressed sensing; coded excitation
- 3D imaging/volumetric reconstruction
- applications:
- medical imaging and diagnostics
- experimental research in liquids or gases; rheology
- monitoring of technical, industrial and biotechnical processes; hydrology
- nondestructive evaluation or testing (NDE/NDT)
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Related Special Issue
- Computational Ultrasound Imaging and Applications in Applied Sciences (10 articles)