Rapid aberration correction for transcranial magnetic resonance-guided focused ultrasound surgery using a hybrid simulation and magnetic resonance-acoustic radiation force imaging method

声辐射力 磁共振成像 传感器 光学(聚焦) 声学 超声波 计算机科学 材料科学 物理 放射科 光学 医学
作者
Urvi Vyas,Kim Butts Pauly
出处
期刊:Journal of the Acoustical Society of America [Acoustical Society of America]
卷期号:134 (5_Supplement): 4183-4183
标识
DOI:10.1121/1.4831337
摘要

Transcranial magnetic resonance-guided focused ultrasound surgery is a technique for causing tissue necrosis in the brain though the intact skull. Skull spatial and acoustic heterogeneities cause changes in the location, shape, and intensity of the focus. Current techniques use computed tomography (CT) imaging or MR-acoustic radiation force images (MR-ARFI) to correct these aberrations. CT-based techniques approximate acoustic parameters from Hounsfield units but suffer from co-registration concerns. MR-ARFI-based techniques use MR images as feedback to manipulate transducer phases, but require many image acquisitions (~4000) for one correction [Herbert, IEEE-TUFFC 56(11)2388–2399]. We demonstrate here a hybrid technique that uses one MR-ARFI image to improve the focal intensity. The hybrid simulation-MR-ARFI technique used an optimization routine to iteratively modify the simulation aberrations to minimize the difference between simulated and experimental radiation force patterns. Experiments were conducted by applying skull-based aberrations to a 1024-element, 550 kHz phased-array transducer. The experimental MR-ARFI image of the aberrated focus was used with the simulation pattern from the hybrid angular spectrum [Vyas, IEEE-TUFFC 59(6)1093–1100] beam propagation technique to estimate aberrations. The experiment was repeated three times. The hybrid simulation-MR-ARFI technique resulted in an average increase in focal MR-ARFI phase of 44%, and recovered 83% of the ideal MR-ARFI phase.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
霸气丹寒发布了新的文献求助10
刚刚
wang完成签到 ,获得积分10
1秒前
1秒前
2秒前
呆萌的羊完成签到,获得积分10
2秒前
科研通AI2S应助谨慎珊采纳,获得10
2秒前
传奇3应助科研通管家采纳,获得30
3秒前
3秒前
3秒前
充电宝应助科研通管家采纳,获得10
3秒前
Jasper应助科研通管家采纳,获得10
3秒前
今后应助科研通管家采纳,获得10
3秒前
好困应助科研通管家采纳,获得10
3秒前
华仔应助科研通管家采纳,获得10
3秒前
Singularity应助科研通管家采纳,获得20
3秒前
JamesPei应助科研通管家采纳,获得10
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
Orange应助科研通管家采纳,获得10
4秒前
思源应助科研通管家采纳,获得10
4秒前
Kawhichan完成签到,获得积分10
4秒前
Orange应助科研通管家采纳,获得10
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
汉堡包应助科研通管家采纳,获得10
4秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
星辰大海应助科研通管家采纳,获得10
4秒前
汉堡包应助科研通管家采纳,获得10
4秒前
李爱国应助科研通管家采纳,获得50
4秒前
Orange应助科研通管家采纳,获得10
4秒前
5秒前
5秒前
Lynette8888完成签到 ,获得积分10
5秒前
香蕉觅云应助哈哈哈哈哈采纳,获得10
5秒前
喵喵完成签到,获得积分20
5秒前
呆萌的羊发布了新的文献求助10
6秒前
秦摆烂完成签到,获得积分10
6秒前
忙碌的数学人完成签到,获得积分10
7秒前
霸气丹寒完成签到,获得积分10
7秒前
cream发布了新的文献求助10
8秒前
si完成签到,获得积分10
8秒前
张再禹完成签到,获得积分10
8秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137214
求助须知:如何正确求助?哪些是违规求助? 2788251
关于积分的说明 7785413
捐赠科研通 2444284
什么是DOI,文献DOI怎么找? 1299869
科研通“疑难数据库(出版商)”最低求助积分说明 625639
版权声明 601023