Leveraging simulations to improve focused ultrasound brain treatments
Abstract/Contents
- Abstract
- Transcranial focused ultrasound (tcFUS) is a non-invasive therapeutic modality that can be used to induce thermal or biomechanical effects in the brain. The most common applications include thermal ablation as an alternative to open brain surgery, neuromodulation to probe the circuitry of the brain, and blood brain barrier opening to improve targeted drug delivery into the brain. For these tcFUS applications, the intact skull poses a major technical challenge. It defocuses the ultrasound focal spot and shifts the focal spot away from the target location. To overcome this, a common approach is to model the skull and estimate corrections that can account for its aberrating effects. Although skull modeling and correction estimation is currently utilized for thermal ablation treatments, there is ample room for improvement in terms of treatment safety and efficiency. In this dissertation, I present three contributions towards improving the safety and efficiency of tcFUS procedures: (1) a rapid beam simulation framework to predict focal spot position and temperature rise prior to the delivery of acoustic energy, (2) use of the same simulation framework to improve focusing through the intact skull, and (3) application of magnetic resonance images as an alternative to computed tomography images for generating skull models used for correction estimation.
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 | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Leung, Steven Alexander |
|---|---|
| Degree supervisor | Pauly, Kim Butts (Kim Rosemary Butts) |
| Thesis advisor | Pauly, Kim Butts (Kim Rosemary Butts) |
| Thesis advisor | Ghanouni, Pejman |
| Thesis advisor | Pelc, Norbert J |
| Degree committee member | Ghanouni, Pejman |
| Degree committee member | Pelc, Norbert J |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Steven Alexander Leung. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Steven Alexander Leung
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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