Chen, Qiyang
(2021)
Ultrasonic locating and tracking of small particles for biomedical applications.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
This dissertation focuses on the development of two novel ultrasound technologies with the idea of tracking and locating small particles: 1) Ultrasound tracking of the acoustically actuated microswimmers, 2) Super-resolution ultrasound (SRU) imaging by locating the microbubbles.
Artificial microswimmers that navigate in hard-to-reach spaces and microfluidic environments inside human bodies hold a great potential for various biomedical applications. For eventual translation of the microswimmer technology, a capability of tracking the microswimmers in 3-D through tissues is particularly required for reliable navigation. In this work, after first proposing and demonstrating the proof-of-concept of ultrasound tracking of the microswimmer in a 2-D setup in vitro, we built a 3-D ultrasound tracking system using two clinical ultrasound probes. A reliable performance for tracking the arbitrary 3-D motions of the newly designed 3-D microswimmers in real-time was demonstrated in vitro. The developed 3-D ultrasound tracking strategy could be a strong motivation and foundation for the future clinical translation of the novel microswimmer technology.
SRU that can identify microvessels with unprecedented spatial resolution is promising for diagnosing the diseases associated with abnormal microvascular changes. One of the potential applications is to assess the changes in renal microvasculature during the progressive kidney disease. In this work, we applied the developed deconvolution-based SRU imaging on the mouse acute kidney injury (AKI) model to show the capability of SRU for noninvasive assessment of renal microvasculature changes during the progression from AKI to chronic kidney disease (CKD). SRU that can identify microvessels with unprecedented spatial resolution is promising for diagnosing the diseases associated with abnormal microvascular changes. One of the potential applications is to assess the changes in renal microvasculature during the progressive kidney disease. In this work, we applied the developed deconvolution-based SRU imaging on the mouse acute kidney injury (AKI) model to show the capability of SRU for noninvasive assessment of renal microvasculature changes during the progression from AKI to chronic kidney disease (CKD).
Future endeavors for integrating SRU locating technology with a reliable tracking capability of microparticles will provide a unique tool for various biomedical applications of the novel microdrones for diagnosis and drug delivery.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
3 September 2021 |
| Date Type: |
Publication |
| Defense Date: |
22 April 2021 |
| Approval Date: |
3 September 2021 |
| Submission Date: |
3 May 2021 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
124 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Bioengineering |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
ultrasound tracking, microswimmer, microdrone, 3-D tracking, super-resolution, ultrasound imaging, kidney imaging, acute kidney injury, chronic kidney disease, clinical translation, atherosclerotic plaques, vasa vasorum,super-resolution ultrasound imaging |
| Date Deposited: |
03 Sep 2021 14:53 |
| Last Modified: |
03 Sep 2021 14:53 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/40999 |
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