A collimator design was investigated to localize ultrasound stimulation using a flat ultrasound transducer for ultrasound-induced neuromodulation in a mouse model. In brain stimulation, the specific location of stimulation must be specified, as the region responsible for motor or sensory function is clustered in a narrow brain area. To localize ultrasound stimulation, three types of collimator design were simulated to determine the optimal collimator design. The performance of the simulated optimal collimator was compared to that of an unmounted collimator in a transducer in both in vivo and in vitro experiments. Throughout the experiments, the localized ultrasound waveform was shaped using the optimized collimator, which elicited neural spike activity in the targeted motor cortex. The optimized collimator shows potential for controlling a localized ultrasound waveform for ultrasound-induced neuromodulation in a small animal model.
|Title of host publication||2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Subtitle of host publication||Smarter Technology for a Healthier World, EMBC 2017 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2017 Sep 13|
|Event||39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of|
Duration: 2017 Jul 11 → 2017 Jul 15
|Name||Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS|
|Other||39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017|
|Country/Territory||Korea, Republic of|
|Period||17/7/11 → 17/7/15|
Bibliographical noteFunding Information:
This research was supported in part by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare of the Republic of Korea (Grant Number: HI14C3477) and in part by the Next-Generation Medical Device Development Program for Newly-Created Market of the National Research Foundation (NRF), funded by the Korean government, MSIP (No: 2015M3D5A1066100).
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics