Light microscopy images of nerves, H&E staining.
A Untreated peripheral nerve at 5x magnification. B Treated peripheral nerve (6 mm distal to center of ablation) at 5x magnification showing epineurial collagen homogenization (a), vascular congestion (b), widening of the subperineural space (arrow). C Untreated peripheral nerve 40X detail of axons and Schwann cells. D Treated peripheral nerve 40x detail showing regressive nuclear changes karyolysis (dashed arrow) and pyknosis (arrow) and vacuolization (arrowhead).

Light microscopy images of nerves, H&E staining. A Untreated peripheral nerve at 5x magnification. B Treated peripheral nerve (6 mm distal to center of ablation) at 5x magnification showing epineurial collagen homogenization (a), vascular congestion (b), widening of the subperineural space (arrow). C Untreated peripheral nerve 40X detail of axons and Schwann cells. D Treated peripheral nerve 40x detail showing regressive nuclear changes karyolysis (dashed arrow) and pyknosis (arrow) and vacuolization (arrowhead).

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... In a cadaveric and laboratory feasibility study, MRI-guided FUS (MRgHIFU) illustrated temperature elevations of the trigeminal nerve using a gradient echo-sequence (Monteith et al., 2013). Another pilot pig study showed that MRgHIFU with 3D MR neurography guidance could be used for targeted peripheral nerve ablation, such a system could be applicable for posttreatment thermal tracking without contrast injection (Huisman et al., 2015a). Diffusion-weighted imaging and tractography can also effectively visualize target peripheral nerve segments and assess the microstructural changes after MRgHIFU (Walker et al., 2021). ...
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... Conventional MR sequences, such as T1and T2-weighted imaging, are limited as they cannot selectively visualize peripheral nerves or quantify nerve integrity or injury. Peripheral nerves have been visualized using MR neurography (19) and selective excitation techniques (20), however these approaches do not provide quantitative assessment of nerve changes after treatment. Targeting by atlas or structural images only is also limited in the ability to account for subject variability and specificity in identifying tracts of interest (21). ...
... The results of this study are consistent with previous experiments who reported similar observations of disrupted myelin and axon swelling in the sciatic nerves of pigs (19,46) and rats (7) after treatment with FUS. These authors' observations are based on histology but are reinforced by our analysis of both histology and DTI metrics. ...
... We note that both Huisman et al. and Kaye et al. used large adult pigs (50-75 and 19-40 kg, respectively) with relatively large sciatic nerves (8-10 mm wide) (19,46). Here we demonstrate the ability to image small animals (5-8 kg) and target small nerves (3-4 mm wide) with similar hardware. ...
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... Some difficulties exist in visualizing superficial peripheral nerves with MR. In a pilot study, 3D MR neurography showed high potential for guiding HIFU therapy ablation of peripheral nerves [127]. An ultrasound-guided approach for HIFU peripheral nerve block has been demonstrated feasible in an in vivo large-animal study. ...
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Conference Paper
High-intensity focussed ultrasound (HIFU) is an emerging cancer therapy that holds great promise, as it is minimially invasive, requires no ionising radiation, and can treat small volumes precisely. However, currently therapies are hindered by an inadequate capacity for treatment planning, as the interactions between the sound waves and tissue are complex and difficult to simulate. The Fourier pseudospectral method is one way of efficiently performing these simulations, as it can provide high accuracies with low computational costs. However, it is typically used with uniform computational meshes, wasting resolution in regions of the simulation where only low frequencies are present, and typically under-resolving the acoustic field in the focal region. This thesis addresses this problem in two ways: First, a bandwidth-based measure of the spatial resolution requirements for a model solution is developed and integrated into a moving mesh method. This allows spatially and temporally-varying resolution requirements to be met. Bandwidth-based meshes are shown to perform very well when compared with current mesh adaptation approaches. Second, a technique is presented for discretising arbitrary acoustic source distributions that does not rely on the source's region of support coinciding with the mesh. This not only allows sources to be represented with adaptive meshes, but greatly improves the accuracy of source discretisations for uniform meshes as well. These two contributions are of vital importance in the context of HIFU simulation, and can easily be applied to the many other problems for which the Fourier pseudospectral method is used.