Real-Time Passive Acoustic Mapping Using Sparse Matrix Multiplication.
Authors: Kamimura HAS, Wu SY, Grondin J, Ji R, Aurup C, Zheng W, Heidmann M, Pouliopoulos AN, Konofagou EE
Passive acoustic mapping enables the spatiotemporal monitoring of cavitation with circulating microbubbles during focused ultrasound (FUS)-mediated blood-brain barrier opening. However, the computational load for processing large data sets of cavitation maps or more complex algorithms limit the visualization in real-time for treatment monitoring and adjustment. In this study, we implemented a graphical processing unit (GPU)-accelerated sparse matrix-based beamforming and time exposure acoustics in a neuronavigation-guided ultrasound system for real-time spatiotemporal monitoring of cavitation. The system performance was tested in silico through benchmarking, in vitro using nonhuman primate (NHP) and human skull specimens, and demonstrated in vivo in NHPs. We demonstrated the stability of the cavitation map for integration times longer than 62.5 [Formula: see text]. A compromise between real-time displaying and cavitation map quality obtained from beamformed RF data sets with a size of 2000 ×128 ×30 (axial [Formula: see text]) was achieved for an integration time of [Formula: see text], which required a computational time of 0.27 s (frame rate of 3.7 Hz) and could be displayed in real-time between pulses at PRF = 2 Hz. Our benchmarking tests show that the GPU sparse-matrix algorithm processed the RF data set at a computational rate of [Formula: see text]/pixel/sample, which enables adjusting the frame rate and the integration time as needed. The neuronavigation system with real-time implementation of cavitation mapping facilitated the localization of the cavitation activity and helped to identify distortions due to FUS phase aberration. The in vivo test of the method demonstrated the feasibility of GPU-accelerated sparse matrix computing in a close to a clinical condition, where focus distortions exemplify problems during treatment. These experimental conditions show the need for spatiotemporal monitoring of cavitation with real-time capability that enables the operator to correct or halt the sonication in case substantial aberrations are observed.
Introduction
Purpose
Drug delivery with BBB opening
Study Objective
Develop and evaluate a GPU-accelerated sparse-matrix beamforming and time-exposure acoustics implementation in a neuronavigation-guided ultrasound system for real-time spatiotemporal monitoring of microbubble cavitation during focused ultrasound blood–brain barrier opening.
Animal model / Human subject
non-human primate, Macaque, not reported, male
Disease model
healthy
MRI or image guidance method
Neuronavigation-guided ultrasound system
Targeted brain region(s)
Thalamus
Outcomes and Safety
Summary of Outcomes
0.5 MHz FUS with GPU-accelerated beamforming enabled real-time cavitation monitoring during BBB opening in NHPs.
Safety-related matter
Real-time monitoring identified phase aberrations to prevent potential tissue damage.
Brain Region
Ultrasound Parameters
Ultrasound instrument
focused ultrasound transducer
FUS Frequency
0.5 MHz
FUS Intensity
Not reported in the provided text
FUS Pressure
0.45 MPa
FUS Mode
pulsed
Pulse duration
10 ms
Duration of a single FUS session
120 s
Treatment frequency
single session
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