Volume 3 Supplement 1

Current and Future Applications of Focused Ultrasound 2014. 4th International Symposium: abstracts

Open Access

Image guided focused ultrasound: development of a comprehensive treatment planning, monitoring and control, and assessment

  • Costas Arvanitis1,
  • Gregory Clement2 and
  • Nathan McDannold1
Journal of Therapeutic Ultrasound20153(Suppl 1):P10

DOI: 10.1186/2050-5736-3-S1-P10

Published: 30 June 2015

Background/introduction

MRgFUS offers unambiguous advantages over other current treatment modalities, as it is noninvasive and does not use ionizing radiation. Further, ultrasonically-controlled stable and inertial microbubble oscillations exert forces that can, among others, activate cell’s mechanoreceptors, disrupt cellular and vascular membranes, accelerate the dissolution of blood clots, enhance thermal ablation, and induce localized tissue erosionetc. FUS can also be used transcranially for tumor ablation, blood-brain barrier disruption, neuromodulation, etc. Harnessing and, potentially, combining these abilities holds great promise for therapy and diagnosis of cancer and cardiovascular and central nervous system diseases and disorders. For the wide-spread use of these approaches, development of methods and technology to enable precise planning, monitoring and control, and assessment of their outcome are essential.

Methods

We developed a novel noninvasive and clinically relevant framework (Fig. 1) that combines i) multimodality imaging (US/MR/CT), ii) 3D Finite Difference Time Domain (FDTD) numerical simulations, and iii) an integrated MR and US imaging FUS system for guiding FUS therapy. The proposed framework enables accurate treatment planning, via visualization of anatomic structures (MRI), extraction of their acoustic properties (CT) and simulation of US propagation (3D FDTD), which includes realistic microbubble acoustic emissions. The co-registration of CT (skull) with the MR and US datasets allowed us to model and study the microbubble emissions propagation through the skull and refine a standard PAM back-projection algorithm to account for spatially varying wave propagation effects, such as refraction and diffraction. The key component of our framework is the MR and US imaging guided FUS system that is used to monitor and control both the thermal and mechanical effects of FUS transcranially, here using manual and simple on-off controllers.
https://static-content.springer.com/image/art%3A10.1186%2F2050-5736-3-S1-P10/MediaObjects/40349_2015_Article_170_Fig1_HTML.jpg
Figure 1

Image Guided FUS framework

Finally, using MR contrast agent as drug surrogate, the proposed framework is used to assess drug uptake after FUS-BBB disruption.

Results and conclusions

The incorporation of a variable speed of sound to the PAM back-projection algorithm corrected the aberrations introduced by the skull (NHP and Human). Further, more than 94% agreement in the FWHM of the axial and transverse line profiles between the simulations incorporating microbubble emissions and experimentally-determined PAMs was observed in NHP. The acoustic emissions monitoring allowed to fine-tune the sonication power for efficacious FUS-BBB disruption in glioma-bearing rat, while, MR temperature imaging based FUS controller allowed to attain constant focal temperature (temperature rise: 7±1.5 0C, for 5 mins) in the brain of a healthy rat. These abilities that have not been previously shown provide a clinically relevant framework for guiding FUS in the brain. We envision that the proposed framework will be essential for developing, optimizing, and translating current and new therapeutic FUS approaches to the clinics.

Declarations

Acknowledgements (Funding)

The authors would like to thank Dr Andriy Fedorov for his help with the software 3D Slicer and image registration. This work was supported by the NIH grants R25CA089017, P01CA174645, P41RR019703. InSightec provided the clinical TcMRgFUSsystem.

Authors’ Affiliations

(1)
Brigham & Women’s Hospital/Harvard Medical School
(2)
Cleveland Clinic

Copyright

© Arvanitis et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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