Element Array Optimization for Skin-Attachable Ultrasound Probes to Improve the Robustness against Positional and Angular Errors
Source abstract
Abstract
Skin-attachable ultrasound probes face challenges in imaging the intended cross-section due to the difficulty in precisely adjusting the position and angle of attachment. While matrix element arrays are capable of imaging any cross-section within a three-dimensional field of view, their implementation presents a challenge due to the significant number of required ultrasound elements. We propose a method for optimizing the coordinates and shapes of elements based on the focusing quality onto the imaging points under the positional and angular errors in the element array. A 128-element array was optimized through the proposed method and its imaging performance was evaluated with simulated phantoms. The optimized array demonstrated the ability to clearly visualize the simulated wires, cysts, and blood vessels even with the positional error of 3 mm and the angular error of 20°. These results indicate the feasibility of developing a skin-attachable ultrasound probe that can be easily used in daily life without requiring precise positional and angular accuracy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Ultrasound Imaging and Elastography · Flow Measurement and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Lily MedTech Inc., Tokyo 113-8485, Japan
Funding
Nakatani Foundation for advancement of measuring technologies in biomedical engineering
References (27)
Show source-provided references
1. Szabo, T.L. (2004). Diagnostic Ultrasound Imaging: Inside Out, Academic Press.
2. Soft wearable devices for deep-tissue sensing10.1038/s41578-022-00427-y ↗
3. Tole, N.M. (2005). Basic physics of ultrasonographic imaging. Diagnostic Imaging and Laboratory Technology Essential Health Technologies Health Technology and Pharmaceuticals, World Health Organization.
4. Flexible and Wearable Ultrasound Device for Medical Applications: A Review on Materials, Structural Designs, and Current Challenges10.1002/admt.202100798 ↗
5. Bioadhesive Ultrasound for Long-Term Continuous Imaging of Diverse Organs10.1126/science.abo2542 ↗
6. Kenny, J.-É.S., Munding, C.E., Eibl, J.K., Eibl, A.M., Long, B.F., Boyes, A., Yin, J., Verrecchia, P., Parrotta, M., and Gatzke, R. (2021). A novel, hands-free ultrasound patch for continuous monitoring of quantitative Doppler in the carotid artery. Sci. Rep., 11.10.1038/s41598-021-87116-y ↗
7. A wearable cardiac ultrasound imager10.1038/s41586-022-05498-z ↗
8. A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects10.1038/s41587-023-01800-0 ↗
9. Stretchable ultrasonic transducer arrays for three-dimensional imaging on complex surfaces10.1126/sciadv.aar3979 ↗
10. A flexible ultrasound transducer array with micro-machined bulk pzt10.3390/s150202538 ↗
11. Elloian, J., Jadwiszczak, J., Arslan, V., Sherman, J.D., Kessler, D.O., and Shepard, K.L. (2022). Flexible ultrasound transceiver array for non-invasive surface-conformable imaging enabled by geometric phase correction. Sci. Rep., 12.10.1038/s41598-022-20721-7 ↗
12. Noda, T., Takamatsu, S., Yamamoto, M., Tomita, N., Itoh, T., Azuma, T., Sakuma, I., and Tomii, N. (2023). Textile-based conformable and breathable ultrasound imaging probe. arXiv.10.1038/s43246-024-00591-4 ↗
13. Real time volumetric ultrasound imaging system10.1007/BF03168124 ↗
14. Design, Implementation, and Medical Applications of 2D Ultrasound Sparse Arrays10.1109/TUFFC.2022.3162419 ↗
15. Two-Dimensional Random Arrays for Real Time Volumetric Imaging10.1177/016173469401600301 ↗
16. Density-tapered spiral arrays for ultrasound 3D imaging10.1109/TUFFC.2015.007035 ↗
17. Design of Optimal 2D Nongrid Sparse Arrays for Medical Ultrasound10.1109/TBME.2013.2267742 ↗
18. Wideband 2D Array Design Optimization With Fabrication Constraints for 3D US Imaging10.1109/TUFFC.2016.2614776 ↗
19. Kocbach, J. (2000). Finite Element Modeling of Ultrasonic Piezoelectric Transducers. [Ph.D. Thesis, University of Bergen].
20. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., and Isard, M. (2016, January 2–4). TensorFlow: A system for large-scale machine learning. Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016, Savannah, GA, USA.
21. Kingma, D.P., and Ba, J. (2014). Adam: A Method for stochastic optimization. arXiv.
22. Synthetic aperture ultrasound imaging10.1016/j.ultras.2006.07.017 ↗
23. The delay multiply and sum beamforming algorithm in ultrasound B-mode medical imaging10.1109/TMI.2014.2371235 ↗
24. Üstüner, K.F., and Holley, G.L. (2003, January 10–14). Ultrasound imaging system performance assessment. Proceedings of the AAPM Annual Meeting, San Diego, CA, USA.
25. The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability10.1109/TUFFC.2019.2956855 ↗
26. Evaluation of computerized edge tracking for quantifying intima-media thickness of the common carotid artery from B-mode ultrasound images10.1016/0021-9150(94)90186-4 ↗
27. Quantification of the Effect of Array Element Pitch on Imaging Performance10.1109/TUFFC.2018.2794627 ↗