Abstract
Deep brain stimulation (DBS) is an effective therapy for dyskinesia associated with treatments for Parkinson's disease (PD). While current surgical placement of a DBS implant depends on stereotactic coordinates with computed tomography and magnetic resonance imaging for precise localization of the electrode sites, the actual current densities produced by the DBS are not directly observed. This study proposes a novel ultrasound (US) method to visualize these current distributions produced by a DBS via acoustoelectric (AE) imaging. AE imaging uses a focused US beam to locally modulate tissue resistivity due to the AE effect, producing a detectable oscillating voltage from a current flow. The primary goal for this study is to assess baseline performance of AE technology for detecting and resolving current densities near a DBS implant using clinically-relevant stimulation parameters.
| Original language | English (US) |
|---|---|
| Title of host publication | 2017 IEEE International Ultrasonics Symposium, IUS 2017 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781538633830 |
| DOIs | |
| State | Published - Oct 31 2017 |
| Event | 2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States Duration: Sep 6 2017 → Sep 9 2017 |
Other
| Other | 2017 IEEE International Ultrasonics Symposium, IUS 2017 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 9/6/17 → 9/9/17 |
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ASJC Scopus subject areas
- Acoustics and Ultrasonics
Cite this
Acoustoelectric imaging of time-varying current produced by a clinical deep brain stimulator. / Preston, Chet; Qin, Yexian; Burton, Alex; Ingram, Pier; Kasoff, Willard; Witte, Russell S.
2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092105.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Acoustoelectric imaging of time-varying current produced by a clinical deep brain stimulator
AU - Preston, Chet
AU - Qin, Yexian
AU - Burton, Alex
AU - Ingram, Pier
AU - Kasoff, Willard
AU - Witte, Russell S
PY - 2017/10/31
Y1 - 2017/10/31
N2 - Deep brain stimulation (DBS) is an effective therapy for dyskinesia associated with treatments for Parkinson's disease (PD). While current surgical placement of a DBS implant depends on stereotactic coordinates with computed tomography and magnetic resonance imaging for precise localization of the electrode sites, the actual current densities produced by the DBS are not directly observed. This study proposes a novel ultrasound (US) method to visualize these current distributions produced by a DBS via acoustoelectric (AE) imaging. AE imaging uses a focused US beam to locally modulate tissue resistivity due to the AE effect, producing a detectable oscillating voltage from a current flow. The primary goal for this study is to assess baseline performance of AE technology for detecting and resolving current densities near a DBS implant using clinically-relevant stimulation parameters.
AB - Deep brain stimulation (DBS) is an effective therapy for dyskinesia associated with treatments for Parkinson's disease (PD). While current surgical placement of a DBS implant depends on stereotactic coordinates with computed tomography and magnetic resonance imaging for precise localization of the electrode sites, the actual current densities produced by the DBS are not directly observed. This study proposes a novel ultrasound (US) method to visualize these current distributions produced by a DBS via acoustoelectric (AE) imaging. AE imaging uses a focused US beam to locally modulate tissue resistivity due to the AE effect, producing a detectable oscillating voltage from a current flow. The primary goal for this study is to assess baseline performance of AE technology for detecting and resolving current densities near a DBS implant using clinically-relevant stimulation parameters.
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UR - http://www.scopus.com/inward/citedby.url?scp=85039450684&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2017.8092105
DO - 10.1109/ULTSYM.2017.8092105
M3 - Conference contribution
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
ER -