Publications
505 results found
Adshead J, Oldfield F, Hadaschik B, et al., 2019, Usability and technical feasibility evaluation of a tethered laparoscopic gamma probe for radioguided surgery in prostate cancer: a pelvic phantom and porcine model study (19-1271), Annual Meeting of the American Urological Association Education and Research Inc.
Brunckhorst O, Ong, Qi Jia, et al., 2019, Novel Modalities for Real-Time Optical Imaging in Urological Neoplasms: A Systematic Review, 34th Annual European Association of Urology Congress
Elson D, 2019, Optical theranostics: image-guided cancer thermal therapy using light (invited), Computer Assisted Radiology and Surgery (Europe's Got Talent)
Elson D, 2019, Multispectral and polarization-resolved endoscopic surgical imaging (invited), Aslla Symposium: Molecular-Guided Optical Theranostics 2030
Elson D, 2019, Multimodality Optical Endoscopy for Surgical Imaging (invited), Society of Academic and Research Surgery Annual Meeting
Kedrzycki M, Leiloglou M, Chalau V, et al., 2019, Highlighting Breast Cancer: First-in-Human Testing of the Imperial Camera System for Fluorescence Guided Breast Cancer Surgery, London Surgery Symposium
Leiloglou M, Chalau V, Kedrzycki M, et al., 2019, Snapshot Fluorescence Hyperspectral System for Breast Cancer Surgery Guidance, Hamlyn Symposium Advanced Biophotonics Workshop
Leiloglou M, Chalau V, Kedrzycki M, et al., 2019, Fluorescence Intensity Image Guided Breast Conserving Surgery (BCS)., European Molecular Imaging Meeting
Zhao M, Oude Vrielink J, Kogkas A, et al., 2019, Prototype Designs of a Cable-driven Parallel Robot for Transoral Laser Surgery, Hamlyn Symposium on Medical Robotics
Li Q, Lin J, Clancy N, et al., 2019, Estimation of Tissue Oxygen Saturation from RGB images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network, Information Processing in Computer Aided Intervention
Waldock WJ, Avila-Rencoret FB, Tincknell LG, et al., 2018, Augmented intraoperative surgical vision for the assessment of gastrointestinal cancer resection margins, 21st Annual Meeting of the Association of Upper Gastrointestinal Surgeons of Great Britain and Ireland (AUGIS), Publisher: Wiley, Pages: 15-16, ISSN: 1365-2168
Elson DS, Cleary K, Dupont P, et al., 2018, Medical robotics, Annals of Biomedical Engineering, Vol: 46, Pages: 1433-1436, ISSN: 0090-6964
Medical robotics encompasses surgical, therapeutic and rehabilitative devices that are changing medicine and healthcare. Although the field of medical robotics predates Intuitive’s da Vinci by more than a decade, it was the clinical and commercial achievements of that system that brought medical robotics to widespread patient and public attention. It is now more than 15 years since the robot began to be used for laparoscopic prostatectomy.1 Since then, research in the field has advanced tremendously due to various technological breakthroughs. Over the last few years, there has been a surge in commercial activities in medical robotics, led both by traditional medical device and technology companies as well as new start-ups. This special issue has been commissioned to capture some of the latest research being carried out by these multidisciplinary bioengineering teams and to showcase how some of these advances can impact clinical care.
Walsted ES, Lin J, Elson DS, et al., 2018, Objective quantification and analysis of laryngeal obstruction using deep learning algorithms, 28th International Congress of the European-Respiratory-Society (ERS), Publisher: EUROPEAN RESPIRATORY SOC JOURNALS LTD, ISSN: 0903-1936
Zhao T, Deng L, Wang W, et al., 2018, Bayes' theorem-based binary algorithm for fast reference-less calibration of a multimode fiber, Optics Express, Vol: 26, Pages: 20368-20378, ISSN: 1094-4087
In this paper, we present a Bayes’ theorem-based high-speed algorithm, to measure the binary transmission matrix of a multimode fiber using a digital micromirror device, in a reference-less multimode fiber imaging system. Based on conditional probability, we define a preset threshold to locate those digital-micromirror-device pixels that can be switched ‘ON’ to form a focused spot at the output. This leads to a binary transmission matrix consisting of ‘0’ and ‘1’ elements. High-enhancement-factor light focusing and raster-scanning at the distal end of the fiber are demonstrated experimentally. The key advantage of our algorithm is its capability for fast calibration of a MMF to form a tightly focused spot. In our experiment, for 5000 input-output pairs, we only need 0.26 s to calibrate one row of the transmission matrix to achieve a focused spot with an enhancement factor of 28. This is more than 10 times faster than the prVBEM algorithm. The proposed Bayes’ theorem-based binary algorithm can be applied not only in multimode optical fiber focusing but also to other disordered media. Particularly, it will be valuable in fast multimode fiber calibration for endoscopic imaging.
Saso S, Tziraki M, Clancy NT, et al., 2018, Use of Laser Speckle Contrast Analysis during pelvic surgery in a uterine transplantation model, Future Science OA, Vol: 4, Pages: FSO324-FSO324, ISSN: 2056-5623
Aim: Uterine transplantation (UTx) is proposed for treatment of uterine factor infertility. Our aim was to assess whether Endoscopic Laser Speckle Contrast Analysis (eLASCA) could evaluate pelvic blood flow at anastomotic sites required for sheep and rabbit UTx. Results/methodology: eLASCA detected blood flow in rabbit UTx #7 and #9. In sheep UTx #2, #3 and #5, the results allowed us to conclude that blood flow was present in the uterine graft following transplantation; and post-UTx, the animal had heart and respiratory rates, and oxygen saturation compatible with a normal hemodynamic status. Conclusion: These preliminary results establish the potential of Laser Speckle Contrast Analysis as noncontact and real-time tool for observation of spatially-resolved blood flow from which other parameters can be derived.
Deng L, Yan JD, Elson DS, et al., 2018, Characterization of an imaging multimode optical fiber using a digital micro-mirror device based single-beam system, Optics Express, Vol: 26, Pages: 18436-18447, ISSN: 1094-4087
This work demonstrates experimental approaches to characterize a single multimode fiber imaging system without a reference beam. Spatial light modulation is performed with a digital micro-mirror device that enables high-speed binary amplitude modulation. Intensity-only images are recorded by the camera and processed by a Bayesian inference based algorithm to retrieve the phase of the output optical field as well as the transmission matrix of the fiber. The calculated transmission matrix is validated by three standards: prediction accuracy, transmission imaging, and focus generation. Also, it is found that information on mode count and eigenchannels can be extracted from the transmission matrix by singular value decomposition. This paves the way for a more compact and cheaper single multimode fiber imaging system for many demanding imaging tasks.
Song L, Wang X, Zhang R, et al., 2018, Improving temporal resolution and speed sensitivity of laser speckle contrast analysis imaging based on noise reduction with an anisotropic diffusion filter, JOURNAL OF OPTICS, Vol: 20, ISSN: 2040-8978
The fluctuation of contrast caused by statistical noise degenerates the temporal/spatial resolution of laser speckle contrast imaging (LSCI) and limits the maximum speed when imaging. In this study, we investigated the application of the anisotropic diffusion filter (ADF) to temporal LSCI and found that the edge magnitude parameter of the ADF can be determined by the mean of the contrast image. Because the edge magnitude parameter is usually denoted as K, we term this the K-constant ADF (KC-ADF) and show that temporal sensitivity is improved when imaging because of the enhanced signal-to-noise ratio when using the KC-ADF in small-animal experiments. The cardiac cycle of a rat as high as 390 bpm can be imaged with an industrial camera.
Lin J, Clancy NT, Qi J, et al., 2018, Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks., Medical Image Analysis, Vol: 48, Pages: 162-176, ISSN: 1361-8415
Surgical guidance and decision making could be improved with accurate and real-time measurement of intra-operative data including shape and spectral information of the tissue surface. In this work, a dual-modality endoscopic system has been proposed to enable tissue surface shape reconstruction and hyperspectral imaging (HSI). This system centers around a probe comprised of an incoherent fiber bundle, whose fiber arrangement is different at the two ends, and miniature imaging optics. For 3D reconstruction with structured light (SL), a light pattern formed of randomly distributed spots with different colors is projected onto the tissue surface, creating artificial texture. Pattern decoding with a Convolutional Neural Network (CNN) model and a customized feature descriptor enables real-time 3D surface reconstruction at approximately 12 frames per second (FPS). In HSI mode, spatially sparse hyperspectral signals from the tissue surface can be captured with a slit hyperspectral imager in a single snapshot. A CNN based super-resolution model, namely "super-spectral-resolution" network (SSRNet), has also been developed to estimate pixel-level dense hypercubes from the endoscope cameras standard RGB images and the sparse hyperspectral signals, at approximately 2 FPS. The probe, with a 2.1 mm diameter, enables the system to be used with endoscope working channels. Furthermore, since data acquisition in both modes can be accomplished in one snapshot, operation of this system in clinical applications is minimally affected by tissue surface movement and deformation. The whole apparatus has been validated on phantoms and tissue (ex vivo and in vivo), while initial measurements on patients during laryngeal surgery show its potential in real-world clinical applications.
Avila Rencoret FB, Mylonas G, Elson D, 2018, Robotic wide-field optical biopsy endoscopy, OSA Biophotonics Congress 2018, Publisher: OSA publishing
This paper describes a novel robotic framework for wide-field optical biopsy endoscopy, characterizes in vitro its spatial and spectral resolution, real time hyperspectral tissue classification, and demonstrates its feasibility on fresh porcine cadaveric colon.
Saso S, Clancy NT, Jones BP, et al., 2018, Use of biomedical photonics in gynecological surgery: a uterine transplantation model, Future Science OA, Vol: 4, Pages: FSO286-FSO286, ISSN: 2056-5623
Aim: Uterine transplantation (UTx) has been proposed as a treatment for permanent absolute uterine factor infertility. The study aims were to compare pulse oximetry and multispectral imaging (MSI), for intraoperative tracking of uterine oxygen saturation in animal UTx models (rabbit and sheep). Results/methodology: Imaging results confirmed the re-establishment of adequate perfusion in the transplanted organ after surgery. Comparison of oxygen saturation values between the pre-UTx donor and post-UTx recipient, and pre-UTx and post-UTx recipient reveals a statistically significant decrease in saturation levels post-UTx. Conclusion: The use of MSI is the first case in gynecology and has demonstrated promise of possible future human use. MSI technique has advantages over pulse oximetry - it provides spatial information in a real-time, noncontact manner.
Qi J, He H, Lin J, et al., 2018, Assessment of tissue polarimetric properties using Stokes polarimetric imaging with circularly polarized illumination, Journal of Biophotonics, Vol: 11, Pages: 1-15, ISSN: 1864-063X
Tissue‐depolarization and linear‐retardance are the main polarization characteristics of interest for bulk tissue characterization, and are normally interpreted from Mueller polarimetry. Stokes polarimetry can be conducted using simpler instrumentation and in a shorter time. Here, we use Stokes polarimetric imaging with circularly polarized illumination to assess the circular‐depolarization and linear‐retardance properties of tissue. Results obtained were compared with Mueller polarimetry in transmission and reflection geometry, respectively. It is found that circular‐depolarization obtained from these 2 methods is very similar in both geometries, and that linear‐retardance is highly quantitatively similar for transmission geometry and qualitatively similar for reflection geometry. The majority of tissue circular‐depolarization and linear‐retardance image information (represented by local image contrast features) obtained from Mueller polarimetry is well preserved from Stokes polarimetry in both geometries. These findings can be referred to for further understanding tissue Stokes polarimetric data, and for further application of Stokes polarimetry under the circumstances where short acquisition time or low optical system complexity is a priority, such as polarimetric endoscopy and microscopy.
Avila Rencoret FB, Mylonas GP, Elson D, 2018, Robotic Wide-Field Optical Biopsy Imaging For Flexible Endoscopy, 26th International Congress of the European Association for Endoscopic Surgery (EAES)
Elson D, Tincknell L, Avila Rencoret F, et al., 2018, Intraoperative hyperspectral circumferential resection margin assessment for gastrointestinal cancer surgery (second prize), Career in Surgery
Singh M, Nabavi E, Zhou Y, et al., 2018, Fluorescence image-guided photothermal therapy: Diagnosis and treatment of upper gastrointestinal cancer and beyond (prize winner), Global Surgery
Elson D, 2018, Polarization- and wavelength-resolved imaging with standard laparoscopes (invited), SPIE BiOS Molecular Guided Surgery
Leiloglou M, Qi J, Rees Whippey D, et al., 2018, Guiding Fluorescence-Augmented Imaging System for Breast Cancer Surgery, BMES Annual Meeting
Elson D, Avila Rencoret F, Mylonas G, 2018, Robotic Wide-Field Optical Biopsy Imaging for Flexible Endoscopy (Gerhard Buess Technology Award), 26th Annual International EAES Congress
Zhao M, Oude Vrielink T, Elson D, et al., 2018, Endoscopic TORS-CYCLOPS: A Novel Cable-driven Parallel Robot for Transoral Laser Surgery, 26th Annual International EAES Congress
Li Q, Zhou X, Lin J, et al., 2018, Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation, Hamlyn Symposium on Medical Robotics
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