In:
The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 148, No. 4_Supplement ( 2020-10-01), p. 2560-2560
Abstract:
Cavitation is widely existing in focused ultrasound (FUS)-mediated therapies in the brain, such as FUS in combination with microbubble-induced blood-brain barrier disruption, nonthermal ablation, as well as transcranial histotripsy therapy. Accurately knowing the 3-D location of cavitation in real time can improve the treatment targeting accuracy and avoid off-target tissue damage. However, the skull induces strong phase and amplitude aberration to the cavitation signals and presents a significant challenge to the transcranial cavitation localization. Existing techniques for 3-D cavitation localization use hemispherical multi-element arrays combined with passive beamforming and adaptive skull-specific correction algorithm. However, these techniques require expensive equipment and treatment planning. Their time-consuming computations limit applications in real-time cavitation monitoring, which is critically needed to ensure the safety and efficacy of the FUS treatment. The object of this study was to investigate the feasibility of using a four-sensor network to transcranially locate the cavitation source in 3-D by time difference of arrival algorithm. The positional error of transcranial cavitation localization with the human skull along x, y, and z axes were 1.7 ± 1.2 mm, 1.6 ± 1.7 mm, and 4.1 ± 1.5 mm, respectively. For comparison, the positional error of without the human skull were 1.2 ± 1.8 mm, 0.9 ± 1.6 mm, and 3.1 ± 2.3 mm, respectively.
Type of Medium:
Online Resource
ISSN:
0001-4966
,
1520-8524
Language:
English
Publisher:
Acoustical Society of America (ASA)
Publication Date:
2020
detail.hit.zdb_id:
1461063-2
Permalink
