Dynamic Mode Decomposition for Transient Cavitation Bubbles Imaging in Pulsed High Intensity Focused Ultrasound Therapy
Minho SongiD, Oleg A. SapozhnikoviD, Vera A. KhokhlovaiD, Tatiana D. KhokhlovaiD
Abstract
Pulsed high-intensity focused ultrasound (pHIFU) can induce sparse de novo inertial cavitation without the introduction of exogenous contrast agents, promoting mild mechanical disruption in targeted tissue. Because the bubbles are small and rapidly dissolve after each HIFU pulse, mapping transient bubbles and obtaining real-time quantitative metrics correlated to tissue damage are challenging. Prior work introduced Bubble Doppler, an ultrafast power Doppler imaging method as a sensitive means to map cavitation bubbles. The main limitation of that method was its reliance on conventional wall filters used in Doppler imaging and optimized for imaging blood flow rather than transient scatterers. This study explores Bubble Doppler enhancement using dynamic mode decomposition (DMD) of a matrix created from a Doppler ensemble for mapping and extracting the characteristics of transient cavitation bubbles. DMD was first tested in silico with a numerical dataset mimicking the spatiotemporal characteristics of backscattered signal from tissue and bubbles. The performance of DMD filter was compared to other widely used Doppler wall filters - singular value decomposition (SVD) and infinite impulse response (IIR) highpass filter. DMD was then applied to an ex vivo tissue dataset where each HIFU pulse was immediately followed by a plane wave Doppler ensemble. In silico DMD outperformed SVD and IIR high pass filter and ex vivo provided physically interpretable images of the modes associated with bubbles and their corresponding temporal decay rates. These DMD modes can be trackable over the duration of pHIFU treatment using k-means clustering method, resulting in quantitative indicators of treatment progression. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/582222v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@f9f858org.highwire.dtl.DTLVardef@11f6844org.highwire.dtl.DTLVardef@f67926org.highwire.dtl.DTLVardef@18bb15c_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 7
- FWCI
- 0.66
- Field percentile
- top 43%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Passive Acoustic Dynamic Differentiation and Mapping: A Time-Domain Passive Cavitation Localization and Classification Approach
Nathan Caso, Krunal Patel, Tao Sun·IEEE Transactions on Biomedical EngineeringPeer-reviewed·Aug 7, 2025
- Rapid quantitative imaging of high intensity ultrasonic pressure fields
H. Luo, J. Kusunose, … W. A. Grissom·bioRxiv·Feb 15, 2020
- Subcellular Cavitation Bubbles Induce Cellular Mechanolysis and Collective Wound Healing in Ultrasound-Inflicted Cell Ablation
- Multi-Stage Singular Value Decomposition for Ultrafast Ultrasound Imaging of Microbubbles
Ge Zhang, Henri Leroy, … Mickaël Tanter·UltrasonicsPeer-reviewed·Sep 6, 2026
- Real-time ultrafast holography of focused ultrasound wave fields using an ultrasound scanner
和洋 松井, Françoise Chavrier, … Remi Souchon·bioRxiv·Oct 16, 2026
- Harmonic Amplitude-Modulated Singular Value Decomposition for Ultrafast Ultrasound Imaging of Gas Vesicles
Ge Zhang, Henri Leroy, … Mickaël Tanter·bioRxiv·Jul 21, 2025