Enabling wireless low-power ultrasound imaging systems for implantable and wearable applications
Abstract/Contents
- Abstract
- Therapeutic and diagnostic ultrasound (US) imaging has seen significant growth over the past decades, becoming an essential part of healthcare systems and emergency medicine. Keeping up with current trends, we present the development of two wireless US imaging platforms to expand the capabilities of implantable devices and create new opportunities for clinical and research applications. The first platform introduces deep-tissue cellular-level thermoacoustic (TA) imaging, enabling long-term monitoring and diagnosis of diseases. It features a mm-sized ultrasound receiver array imager, allowing for imaging deep inside the body. The second platform builds upon the first one and integrates a full end-to-end US pulse-echo imaging system with increased US channels, enabling high-resolution anatomical and blood flow imaging. Both platforms utilize ultrasound for power transfer and wireless communication, achieving performance comparable to state-of-the-art imaging systems while maintaining small size and low power consumption. The systems incorporate advanced imaging reconstruction and compression techniques, significantly reducing data volume while maintaining a high imaging rate. This thesis provides a detailed analysis of the developed systems, including the fabricated chips and preliminary testing results, highlighting the motivations, challenges, and potential contributions of this research in advancing the field of implantable US imaging.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Sawaby, Ahmed Mohamed Naguib Abdelsamea |
|---|---|
| Degree supervisor | Murmann, Boris |
| Thesis advisor | Murmann, Boris |
| Thesis advisor | Poon, Ada Shuk Yan |
| Thesis advisor | Rivas-Davila, Juan |
| Degree committee member | Poon, Ada Shuk Yan |
| Degree committee member | Rivas-Davila, Juan |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Ahmed Sawaby. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/bj650nz9190 |
Access conditions
- Copyright
- © 2023 by Ahmed Mohamed Naguib Abdelsamea Sawaby
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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