The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Holograms to Focus Arbitrary Ultrasonic Fields through the Skull
Open accessAbstract
The precise control of ultrasound focused into the central nervous system (CNS) is limited mainly by strong phase aberrations due to refraction and attenuation by the skull. This study proposes the use of acoustic holograms to correct these phase aberrations, and also to conform arbitrary acoustic images inside the brain corresponding to CNS structures, such as the hippocampus. Experiments using a skull phantom are in excellent agreement with theory and simulations. Ultrasonic focusing can be observed for various target structures simultaneously, using an inexpensive 3D-printed acoustic holographic lens. These results open paths to innovative biomedical ultrasound applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868 · cited 1×
“In particular we used for segmentation the ITK-SNAP software [43] to obtain the shape and location of the left and right hippocampi.”
MethodMetasurface Holograms for Visible Light
Ni, X., Kildishev, A. V., & Shalaev, V. M. (2013) · Nature Communications · doi:10.1038/ncomms3807 · Cited by 1,513
Three-Dimensional Optical Holography Using a Plasmonic Metasurface
Huang, L., Chen, X., Mühlenbernd, H., Zhang, H., Chen, S., Bai, B., Tan, Q., Jin, G., Cheah, K.-W., Qiu, C.-W., et al. (2013) · Nature Communications · doi:10.1038/ncomms3808 · Cited by 1,456
Cited by
Acoustic Metamaterials: A Review of Theories, Structures, Fabrication Approaches, and Applications
Liao, G., Luan, C., Wang, Z., Liu, J., Yao, X., & Fu, J. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202000787 · Cited by 267
Ultrasound-assisted tissue engineering
Melde, K., Athanassiadis, A. G., Missirlis, D., Shi, M., Seneca, S., & Fischer, P. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00166-5 · Cited by 59
Metadata
- Authors
- Jiménez-Gambín, S., Jiménez, N., Benlloch, J. M., & Camarena, F.
- Venue
- Physical Review Applied
- Publisher
- American Physical Society (APS)
- Published
- 2019-07-10
- Volume
- 12
- Issue
- 1
- ISSN
- 2331-7019 (ISSN-L)
- OpenAlex
- W2958330081
- Cited by
- 179
- References
- 3
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
