25 research outputs found

    Rapid Non-Contact Optical Ultrasound for Biomedical Imaging

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    Biomedical ultrasound imaging is typically performed using electronic transducer technology, which results in imaging probes exhibiting large mechanical footprints that require physical contact with the imaging target. While this mature technology allows for high-quality, versatile free-hand imaging, its applicability is limited in crowded surgical settings and scenarios at risk of infection or trauma. Instead, here a novel system is presented that enables non-contact ultrasound imaging through remote sensing. This is achieved using light rather than electronics to both generate and detect ultrasound, which is delivered in free-space to the surface of the object by weakly-focussed beams. To maximise the signal fidelity, a custom membrane was developed that is deposited to the surface of the imaging target. The combined system and membrane currently achieve real-time and dynamic imaging at a frame rate of up to 22 Hz for highly reflective targets, and requires an acquisition time of ca. 27 s for physiologically relevant phantoms. As such, the system already achieves clinically relevant performance for, e.g., needle or instrument tracking, and various improvements are suggested that in the near future will significantly accelerate image acquisition of soft tissue ā€“ ultimately resulting in sub-second biomedical non-contact ultrasound imaging

    Concurrent Optical Ultrasound and CT Imaging

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    Optical ultrasound imaging is an emerging paradigm that utilises fiber-optic ultrasound sources and detectors to perform pulse-echo imaging. Using rapid-prototyping techniques, flexible fiber-optic free-hand probes, capable of video-rate imaging can be constructed entirely from glass and plastic. As such, these devices are expected to be inherently compatible with electromagnetic imaging modalities such as magnetic resonance imaging and computed tomography imaging. However, to date, this multimodal capability has not been demonstrated. In this work, a new free-hand optical ultrasound (OpUS) imaging system is introduced, its real-time imaging capability demonstrated on a range of phantoms, and the first concurrent use of OpUS alongside cone-beam CT (CBCT) imaging is presented

    Neural Network Kalman Filtering for 3-D Object Tracking From Linear Array Ultrasound Data

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    Many interventional surgical procedures rely on medical imaging to visualise and track instruments. Such imaging methods not only need to be real-time capable, but also provide accurate and robust positional information. In ultrasound applications, typically only two-dimensional data from a linear array are available, and as such obtaining accurate positional estimation in three dimensions is non-trivial. In this work, we first train a neural network, using realistic synthetic training data, to estimate the out-of-plane offset of an object with the associated axial aberration in the reconstructed ultrasound image. The obtained estimate is then combined with a Kalman filtering approach that utilises positioning estimates obtained in previous time-frames to improve localisation robustness and reduce the impact of measurement noise. The accuracy of the proposed method is evaluated using simulations, and its practical applicability is demonstrated on experimental data obtained using a novel optical ultrasound imaging setup. Accurate and robust positional information is provided in real-time. Axial and lateral coordinates for out-of-plane objects are estimated with a mean error of 0.1mm for simulated data and a mean error of 0.2mm for experimental data. Three-dimensional localisation is most accurate for elevational distances larger than 1mm, with a maximum distance of 6mm considered for a 25mm aperture

    Enhancement of instrumented ultrasonic tracking images using deep learning

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    PURPOSE: Instrumented ultrasonic tracking provides needle localisation during ultrasound-guided minimally invasive percutaneous procedures. Here, a post-processing framework based on a convolutional neural network (CNN) is proposed to improve the spatial resolution of ultrasonic tracking images. METHODS: The custom ultrasonic tracking system comprised a needle with an integrated fibre-optic ultrasound (US) transmitter and a clinical US probe for receiving those transmissions and for acquiring B-mode US images. For post-processing of tracking images reconstructed from the received fibre-optic US transmissions, a recently-developed framework based on ResNet architecture, trained with a purely synthetic dataset, was employed. A preliminary evaluation of this framework was performed with data acquired from needle insertions in the heart of a fetal sheep in vivo. The axial and lateral spatial resolution of the tracking images were used as performance metrics of the trained network. RESULTS: Application of the CNN yielded improvements in the spatial resolution of the tracking images. In three needle insertions, in which the tip depth ranged from 23.9 to 38.4 mm, the lateral resolution improved from 2.11 to 1.58 mm, and the axial resolution improved from 1.29 to 0.46 mm. CONCLUSION: The results provide strong indications of the potential of CNNs to improve the spatial resolution of ultrasonic tracking images and thereby to increase the accuracy of needle tip localisation. These improvements could have broad applicability and impact across multiple clinical fields, which could lead to improvements in procedural efficiency and reductions in risk of complications

    Lowā€Field Actuating Magnetic Elastomer Membranes Characterized using Fibreā€Optic Interferometry

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    Smart robotic devices remotely powered by magnetic field have emerged as versatile tools for wide biomedical applications. Soft magnetic elastomer (ME) composite membranes with high flexibility and responsiveness are frequently incorporated to enable local actuation for wireless sensing or cargo delivery. However, the fabrication of thin ME membranes with good control in geometry and uniformity remains challenging, as well as the optimization of their actuating performances under low fields (milliā€Tesla). In this work, the development of ME membranes comprising of lowā€cost magnetic powder and highly soft elastomer through a simple templateā€assisted doctor blading approach, is reported. The fabricated ME membranes are controllable in size (up to centimetreā€scale), thickness (tens of microns) and high particle loading (up to 70 wt.%). Conflicting tradeā€off effects of particle concentration upon magnetic responsiveness and mechanical stiffness are investigated and found to be balanced off as it exceeds 60 wt.%. A highly sensitive fibreā€optic interferometric sensing system and a customized fibreā€ferruleā€membrane probe are first proposed to enable dynamic actuation and realā€time displacement characterization. Freeā€standing ME membranes are magnetically excited under low field down to 2 mT, and optically monitored with nanometer accuracy. The fast and consistent responses of ME membranes showcase their promising biomedical applications in nanoscale actuation andĀ sensing

    Comparison of Fabrication Methods for Fiberā€Optic Ultrasound Transmitters Using Candleā€Soot Nanoparticles

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    Candle-soot nanoparticles (CSNPs) have shown great promise for fabricating optical ultrasound (OpUS) transmitters. They have a facile, inexpensive synthesis whilst their unique, porous structure enables a fast heat diffusion rate which aids high-frequency ultrasound generation necessary for high-resolution clinical imaging. These composites have demonstrated high ultrasound generation performance showing clinically relevant detail, when applied as macroscale OpUS transmitters comprising both concave and planar surfaces, however, less research has been invested into the translation of this material's technology to fabricate fiber-optic transmitters for image guidance of minimally invasive interventions. Here, are reported two fabrication methods of nanocomposites composed of CSNPs embedded within polydimethylsiloxane (PDMS) deposited onto fiber-optic end-faces using two different optimized fabrication methods: ā€œAll-in-Oneā€ and ā€œDirect Deposition.ā€ Both types of nanocomposite exhibit a smooth, black domed structure with a maximum dome thickness of 50 Āµm, broadband optical absorption (>98% between 500 and 1400 nm) and both nanocomposites generated high peak-to-peak ultrasound pressures (>3 MPa) and wide bandwidths (>29 MHz). Further, high-resolution (<40 Āµm axial resolution) B-mode ultrasound imaging of ex vivo lamb brain tissue demonstrating how CSNP-PDMS OpUS transmitters can allow for high fidelity minimally invasive imaging of biological tissues is demonstrated

    Lowā€field actuating magnetic elastomer membranes characterized using fibreā€optic interferometry

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    Smart robotic devices remotely powered by magnetic field have emerged as versatile tools for wide biomedical applications. Soft magnetic elastomer (ME) composite membranes with high flexibility and responsiveness are frequently incorporated to enable local actuation for wireless sensing or cargo delivery. However, the fabrication of thin ME membranes with good control in geometry and uniformity remains challenging, as well as the optimization of their actuating performances under low fields (milliā€Tesla). In this work, the development of ME membranes comprising of lowā€cost magnetic powder and highly soft elastomer through a simple templateā€assisted doctor blading approach, is reported. The fabricated ME membranes are controllable in size (up to centimetreā€scale), thickness (tens of microns) and high particle loading (up to 70 wt.%). Conflicting tradeā€off effects of particle concentration upon magnetic responsiveness and mechanical stiffness are investigated and found to be balanced off as it exceeds 60 wt.%. A highly sensitive fibreā€optic interferometric sensing system and a customized fibreā€ferruleā€membrane probe are first proposed to enable dynamic actuation and realā€time displacement characterization. Freeā€standing ME membranes are magnetically excited under low field down to 2 mT, and optically monitored with nanometer accuracy. The fast and consistent responses of ME membranes showcase their promising biomedical applications in nanoscale actuation and sensing

    Correlation of Ultrasound Shear Wave Elastography with Pathological Analysis in a Xenografic Tumour Model

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    The objective of this study was to evaluate the potential value of ultrasound (US) shear wave elastography (SWE) in assessing the relative change in elastic modulus in colorectal adenocarcinoma xenograft models in vivo and investigate any correlation with histological analysis. We sought to test whether non-invasive evaluation of tissue stiffness is indicative of pathological tumour changes and can be used to monitor therapeutic efficacy. US-SWE was performed in tumour xenografts in 15 NCr nude immunodeficient mice, which were treated with either the cytotoxic drug, Irinotecan, or saline as control. Ten tumours were imaged 48 hours post-treatment and five tumours were imaged for up to five times after treatment. All tumours were harvested for histological analysis and comparison with elasticity measurements. Elastic (Youngs) modulus prior to treatment was correlated with tumour volume (r = 0.37, p = 0.008). Irinotecan administration caused significant delay in the tumour growth (p = 0.02) when compared to control, but no significant difference in elastic modulus was detected. Histological analysis revealed a significant correlation between tumour necrosis and elastic modulus (r = -0.73, p = 0.026). SWE measurement provided complimentary information to other imaging modalities and could indicate potential changes in the mechanical properties of tumours, which in turn could be related to the stages of tumour development.Funding Agencies|Institute of Cancer Research; Engineering and Physical Sciences Research Council; Cancer Research UK Cancer Imaging Centre at the Institute of Cancer Research; NHS</p

    Visualization 2: Pencil beam all-optical ultrasound imaging

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    Simuated and experimental images of a phantom in the presence of axial and lateral probe positioning uncertainty. Probe positioning errors were picked from uniform random distributions that ranged between Ā±100 and Ā±2000 Āµm in increments of 100 Āµm. Originally published in Biomedical Optics Express on 01 September 2016 (boe-7-9-3696
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