Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310584552> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W4310584552 abstract "There are several freely available toolboxes for modeling the sound pressure field of ultrasound transducers and transducer arrays (e.g., Field II, k-Wave, and DREAM, etc.). These model the beam patterns, or how the ultrasound pulse changes depending on where we observe it, i.e., they model the spatial impulse response of the transducers. Normally, the transmitted pulse is not modeled using these toolboxes, but instead it is assumed that this pulse shape is known. Also, the models are based on assumption of an ideal behavior of the transducers, which is not necessarily the case for a real-world transducers. As a consequence, fitting these models to real measurement data, in order for them to mimic the individual transducer available in the lab, is not generally not possible with any numerical accuracy. In this paper we show, instead, how a deep learning approach can be adopted to train a model that with numerical accuracy models an transducer individual. We compare the proposed technique with real measurements and models using the Field II toolbox and show that for the actual transducer at hand, the deep learning approach outperforms the results from Field II." @default.
- W4310584552 created "2022-12-12" @default.
- W4310584552 creator A5068319054 @default.
- W4310584552 creator A5084229134 @default.
- W4310584552 date "2022-10-10" @default.
- W4310584552 modified "2023-09-27" @default.
- W4310584552 title "Deep Learning for Modeling of Sound Pressure Fields of Real-World Ultrasound Transducers" @default.
- W4310584552 cites W1992038746 @default.
- W4310584552 cites W2039045762 @default.
- W4310584552 cites W2049178371 @default.
- W4310584552 cites W2537824386 @default.
- W4310584552 cites W2919115771 @default.
- W4310584552 cites W2921827007 @default.
- W4310584552 cites W2969940716 @default.
- W4310584552 cites W3098171933 @default.
- W4310584552 doi "https://doi.org/10.1109/ius54386.2022.9958700" @default.
- W4310584552 hasPublicationYear "2022" @default.
- W4310584552 type Work @default.
- W4310584552 citedByCount "0" @default.
- W4310584552 crossrefType "proceedings-article" @default.
- W4310584552 hasAuthorship W4310584552A5068319054 @default.
- W4310584552 hasAuthorship W4310584552A5084229134 @default.
- W4310584552 hasConcept C121332964 @default.
- W4310584552 hasConcept C134306372 @default.
- W4310584552 hasConcept C24890656 @default.
- W4310584552 hasConcept C33923547 @default.
- W4310584552 hasConcept C41008148 @default.
- W4310584552 hasConcept C56318395 @default.
- W4310584552 hasConcept C62520636 @default.
- W4310584552 hasConcept C68115822 @default.
- W4310584552 hasConcept C70836080 @default.
- W4310584552 hasConcept C72279823 @default.
- W4310584552 hasConcept C81288441 @default.
- W4310584552 hasConceptScore W4310584552C121332964 @default.
- W4310584552 hasConceptScore W4310584552C134306372 @default.
- W4310584552 hasConceptScore W4310584552C24890656 @default.
- W4310584552 hasConceptScore W4310584552C33923547 @default.
- W4310584552 hasConceptScore W4310584552C41008148 @default.
- W4310584552 hasConceptScore W4310584552C56318395 @default.
- W4310584552 hasConceptScore W4310584552C62520636 @default.
- W4310584552 hasConceptScore W4310584552C68115822 @default.
- W4310584552 hasConceptScore W4310584552C70836080 @default.
- W4310584552 hasConceptScore W4310584552C72279823 @default.
- W4310584552 hasConceptScore W4310584552C81288441 @default.
- W4310584552 hasLocation W43105845521 @default.
- W4310584552 hasOpenAccess W4310584552 @default.
- W4310584552 hasPrimaryLocation W43105845521 @default.
- W4310584552 hasRelatedWork W2011735296 @default.
- W4310584552 hasRelatedWork W2020078665 @default.
- W4310584552 hasRelatedWork W2025195443 @default.
- W4310584552 hasRelatedWork W2061435430 @default.
- W4310584552 hasRelatedWork W2062133400 @default.
- W4310584552 hasRelatedWork W2078265187 @default.
- W4310584552 hasRelatedWork W2414157808 @default.
- W4310584552 hasRelatedWork W2988937872 @default.
- W4310584552 hasRelatedWork W4367308428 @default.
- W4310584552 hasRelatedWork W74343763 @default.
- W4310584552 isParatext "false" @default.
- W4310584552 isRetracted "false" @default.
- W4310584552 workType "article" @default.