MARFit: An Integrated Software for Real-Time MR Guided Focused Ultrasound Neuromodulation System

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...

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Bibliographic Details
Published in:IEEE transactions on neural systems and rehabilitation engineering 2022, Vol.30, p.264-273
Main Authors: Qiao, Yangzi, Zou, Chao, Wen, Jianhong, Long, Xiaojing, Cheng, Chuanli, Yang, Wanqun, Ye, Weitao, Liang, Dong, Liu, Xin, Zheng, Hairong
Format: Article
Language:English
Subjects:
Algorithms
Computer programs
Feedback control
Humans
Image processing
Image Processing, Computer-Assisted
Image reconstruction
Integrated software
Localization
Magnetic Resonance Imaging
Mathematical analysis
Medical treatment
Modules
Motion
MR acoustic radiation force imaging (MR-ARFI)
MR guided focused ultrasound (MRgFUS)
MR thermometry (MRT)
Neurological diseases
Neuromodulation
Real time
Real-time systems
Software
Sound waves
Temperature measurement
Ultrasonic imaging
Ultrasonography
Ultrasound
Visualization
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Summary: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.
ISSN:1534-4320
1558-0210
DOI:10.1109/TNSRE.2022.3146286