Search arXivSearch

arXiv · 2405.12966

A novel forward-looking ultrasound catheter for treating vascular occlusions

Abstract

Thrombotic and chronic occlusions of large blood vessels are a major cause of mortality and morbidity, and so there is a need for improved treatments in many clinical circumstances. Endovascular ultrasound approaches have been shown to hold considerable potential to treat large vessel thrombotic occlusions. Here, we report the development of a novel forward-looking therapeutic ultrasound catheter approach. The design concept centers on the use of a radially polarized hollow cylindrical transducer situated at the distal tip. This approach enables a compact configuration where the central lumen can accommodate a guidewire during navigation as well as provide a route to release cavitation seeds and therapeutic agents adjacent to the site of occlusion. PZT-5H transducers with outer/inner diameters of 1.35/0.73 mm were evaluated using simulations and experiments for their capacity to project forward-looking ultrasound. A length of 2.5 mm operating in the 3rd harmonic of the length mode resonance (1.85 MHz) was selected. Catheters (1.55 mm outer diameter) were designed and fabricated with a liner, outer jacket, and braiding, where the transducers were incorporated with air-backing and a front-face matching layer. Forward-looking pressures of 2.5 MPa (peak negative) at 0.5 mm were achieved. Proof of principle vessel phantom experiments were performed demonstrating the ability to eject microbubbles in proximity to an occlusion and stimulate inertial cavitation. This approach holds potential for treating thrombotic and chronic total occlusions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jingjing Liu, Alex R. Wright, Kullervo Hynynen, David E. Goertz. 2024-05-21. A novel forward-looking ultrasound catheter for treating vascular occlusions. https://arxiv.org/abs/2405.12966

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Prediction of biological radiation effects based on ionization clusters (nanodosimetry)

This article reviews approaches that link the formation of ionization clusters in nanometric volumes to radiobiological effectiveness. The corresponding models were developed as the field of nanodosimetry developed. Some address early biological radiation effects, such as DNA damage, while most aim to predict cell survival or inactivation. The models also differ in the nanodosimetric quantities considered, with many based on the probability distribution of ionization cluster formation in a single target. Some models account for the synergistic effects of pairs of ionization clusters formed in different targets. Several models feature macroscopic aggregation frameworks based on particle fluence, which are proposed for use in radiotherapy treatment planning, particularly in ion-beam radiotherapy. The models are presented here using harmonized terminology and notation for nanodosimetric quantities. An extension of the conceptual framework of nanodosimetry is also discussed. This extension transitions from a target-centered description to a track-centered description. It also introduces nanodosimetry-based analogs of dosimetric concepts, such as dose and linear energy transfer. This paper traces and summarizes the historical development of nanodosimetry-based biological effect models and discusses conceptual aspects of the models to reveal their underlying assumptions and the extent to which they are mechanistic or merely elucidate correlations. Eventually, an attempt is made to identify the key open questions in this field that still need to be addressed.

physics.med-ph

Contextual Cellular Growth (ConCeG) of neural cells for realistic grey matter tissue generation for diffusion MRI simulations

Accurate interpretation of diffusion magnetic resonance imaging (dMRI) signals in grey matter (GM) remains challenging due to the complex, heterogeneous, and densely packed cellular environment. Numerical phantoms provide a controlled framework for investigating the relationship between microstructure and diffusion signals, yet existing approaches often lack the morphological realism and multi-cellular organisation required to faithfully represent GM tissue. In this work, we introduce Contextual Cellular Growth (ConCeG), a generative framework for creating individual cells or constructing dense, three-dimensional, multi-cellular GM substrates informed by real neuronal and glial morphologies. The method combines topological neuron synthesis with a spatially constrained growth network, allowing for the controlled generation of heterogeneous cellular environments with realistic intra- and extracellular compartments. Synthetic cells are generated using morphological and topological characteristics derived from biological reconstructions. We validate the framework through comparisons of structural features with real cellular data, demonstrating strong agreement in branch order, length, angle, and tortuosity distributions. Power spectrum analysis further shows that both intracellular compartments reproduce the spatial correlations observed in biological tissue. Together, these results show ConCeG provides a biologically grounded framework for generating grey matter substrates suitable for large scale diffusion MRI simulation.

physics.med-ph

Magnetic Field of Firing Neuron in Humans: Measurable by Quantum Sensing MRI?

Firing neurons generate action potentials that propagate along axons to transmit signals supporting cognitive functions. These electrical currents generate magnetic fields, yet direct detection of these neuronal magnetic fields by MRI remains elusive. This Mini Review investigates why this goal has been proven difficult to achieve and whether an emerging approach, quantum sensing MRI, can overcome the challenge.

physics.med-ph