软件
接口(物质)
可视化
计算机科学
光学(聚焦)
神经调节
模态(人机交互)
计算机视觉
图形用户界面
图像处理
人工智能
医学
图像(数学)
气泡
最大气泡压力法
刺激
并行计算
内科学
光学
程序设计语言
物理
作者
Yanbo Qiao,Chao Zou,Jianhong Wen,Xiaojing Long,Chuanli Cheng,Wanqun Yang,Weitao Ye,Dong Liang,Xin Liu,Hairong Zheng
出处
期刊:IEEE Transactions on Neural Systems and Rehabilitation Engineering
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:30: 264-273
被引量:1
标识
DOI:10.1109/tnsre.2022.3146286
摘要
MR guided focused ultrasound (MRgFUS) therapy has been a promising treatment modality for many neurological disorders. However, the lack of real-time image processing software platform sets barriers for relevant pre-clinical researches. This work intends to develop an integrated software for MRgFUS therapy. The software contains three functional modules: a communication module, an image post-processing module, and a visualization module. The communication module provides a data interface with an open-source MR image reconstruction platform (Gadgetron) to receive the reconstructed MR images in real-time. The post-processing module contains the algorithms of image coordinate registration, focus localization by MR acoustic radiation force imaging (MR-ARFI), temperature and thermal dose calculations, motion correction, and temperature feedback control. The visualization module displays monitoring information and provides a user-machine interface. The software was tested to be compatible with systems from two different vendors and validated in multiple scenarios for MRgFUS. The software was tested in many ex vivo and in vivo experiments to validate its functions. The in vivo transcranial focus localization experiments were carried out for targeting the focused ultrasound in neuromodulation.
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