73 research outputs found

    Real-time blood oxygenation tomography with multispectral photoacoustics

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    Multispectral photoacoustics is an emerging biomedical imaging modality which combines the penetration depth and resolution of high frequency medical ultrasonography with an optical absorption contrast. This enables tomographic imaging of blood oxygen saturation, a functional biomarker with wide applications. Already, photoacoustic imaging (PAI) is widely applied for small animal imaging in preclinical research. While PAI is a multiscale modality, its translation to clinical research and interventional use remains challenging. The objective of this thesis was to investigate the usefulness of multispectral PAI as a technique for interventional tomographic imaging of blood oxygenation. This thesis presents open challenges alongside research contributions to address them. These contributions are, (1) The design and implementation of an interventional PAI system, (2) Methods for real-time photoacoustic (PA) image processing and quantification of tissue absorption and blood oxygenation, and finally (3) the application of multispectral PAI to translational neurosurgical research – performing the first high spatiotemporal resolution tomography of spreading depolarization, and at the same time the first interventional PAI on any gyrencephalic (folded) brain. Such interventional imaging in neurology is one of many promising fields of application for PAI

    Machine learning enabled multiple illumination quantitative optoacoustic oximetry imaging in humans.

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    Optoacoustic (OA) imaging is a promising modality for quantifying blood oxygen saturation (sO2) in various biomedical applications - in diagnosis, monitoring of organ function, or even tumor treatment planning. We present an accurate and practically feasible real-time capable method for quantitative imaging of sO2 based on combining multispectral (MS) and multiple illumination (MI) OA imaging with learned spectral decoloring (LSD). For this purpose we developed a hybrid real-time MI MS OA imaging setup with ultrasound (US) imaging capability; we trained gradient boosting machines on MI spectrally colored absorbed energy spectra generated by generic Monte Carlo simulations and used the trained models to estimate sO2 on real OA measurements. We validated MI-LSD in silico and on in vivo image sequences of radial arteries and accompanying veins of five healthy human volunteers. We compared the performance of the method to prior LSD work and conventional linear unmixing. MI-LSD provided highly accurate results in silico and consistently plausible results in vivo. This preliminary study shows a potentially high applicability of quantitative OA oximetry imaging, using our method

    Surgical spectral imaging

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    Recent technological developments have resulted in the availability of miniaturised spectral imaging sensors capable of operating in the multi- (MSI) and hyperspectral imaging (HSI) regimes. Simultaneous advances in image-processing techniques and artificial intelligence (AI), especially in machine learning and deep learning, have made these data-rich modalities highly attractive as a means of extracting biological information non-destructively. Surgery in particular is poised to benefit from this, as spectrally-resolved tissue optical properties can offer enhanced contrast as well as diagnostic and guidance information during interventions. This is particularly relevant for procedures where inherent contrast is low under standard white light visualisation. This review summarises recent work in surgical spectral imaging (SSI) techniques, taken from Pubmed, Google Scholar and arXiv searches spanning the period 2013–2019. New hardware, optimised for use in both open and minimally-invasive surgery (MIS), is described, and recent commercial activity is summarised. Computational approaches to extract spectral information from conventional colour images are reviewed, as tip-mounted cameras become more commonplace in MIS. Model-based and machine learning methods of data analysis are discussed in addition to simulation, phantom and clinical validation experiments. A wide variety of surgical pilot studies are reported but it is apparent that further work is needed to quantify the clinical value of MSI/HSI. The current trend toward data-driven analysis emphasises the importance of widely-available, standardised spectral imaging datasets, which will aid understanding of variability across organs and patients, and drive clinical translation

    Haemoglobin sensing with optical spectroscopy during minimally invasive procedures

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    Many clinical procedures involve the use of minimally invasive devices such as needles and catheters. Providing increased information about tissues that are adjacent to the device tips could reduce the probability of complications in these procedures. Optical fibres are well suited for integration into medical devices and they can be used to provide information relevant to tissue characterisation. This dissertation is centred on the integration of optical fibres into needles and catheters to obtain information about haemoglobin. In two studies, reflectance spectroscopy was performed. Two optical fibre geometries were tested, and for each, Monte Carlo simulations were used to estimate the reflectance values and the pho- ton penetration depths. In the first study, reflectance spectroscopy was performed with a double clad fibre. Experiments using expired human red blood cells were performed to determine the sensitivity of the measurements to oxygen saturation variation at physiological levels. Distinction between normal oxygen saturation values in veins and arteries was possible, making this fibre potentially useful to verify needle placement during a venous catheterisation or during a transseptal puncture. In the second study, two polymer optical light fibres were directly integrated into an epidural catheter. This optical catheter was tested during an ex-vivo swine laminectomy in the lumbar region. Another ex-vivo experiment was performed on chicken wings to discern blood vessels from other tissues. This information could be used during anaesthesic procedures to reduce the risk of toxicity from an intravascular injection. With reflectance spectroscopy, the depth in tissue from which signal is obtained is limited by the inter-fibre distance. This limitation motivated a third study, in which photoacoustic imaging was used to obtain image contrast for haemoglobin. The results of the three studies suggest that the integration of optical fibres into medical devices during minimally invasive procedures can allow for clinically relevant measurements of tissue properties in real-time

    Biomedical Photoacoustic Imaging and Sensing Using Affordable Resources

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    The overarching goal of this book is to provide a current picture of the latest developments in the capabilities of biomedical photoacoustic imaging and sensing in an affordable setting, such as advances in the technology involving light sources, and delivery, acoustic detection, and image reconstruction and processing algorithms. This book includes 14 chapters from globally prominent researchers , covering a comprehensive spectrum of photoacoustic imaging topics from technology developments and novel imaging methods to preclinical and clinical studies, predominantly in a cost-effective setting. Affordability is undoubtedly an important factor to be considered in the following years to help translate photoacoustic imaging to clinics around the globe. This first-ever book focused on biomedical photoacoustic imaging and sensing using affordable resources is thus timely, especially considering the fact that this technique is facing an exciting transition from benchtop to bedside. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging

    Preclinical MRI of the kidney : methods and protocols

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    This Open Access volume provides readers with an open access protocol collection and wide-ranging recommendations for preclinical renal MRI used in translational research. The chapters in this book are interdisciplinary in nature and bridge the gaps between physics, physiology, and medicine. They are designed to enhance training in renal MRI sciences and improve the reproducibility of renal imaging research. Chapters provide guidance for exploring, using and developing small animal renal MRI in your laboratory as a unique tool for advanced in vivo phenotyping, diagnostic imaging, and research into potential new therapies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Preclinical MRI of the Kidney: Methods and Protocols is a valuable resource and will be of importance to anyone interested in the preclinical aspect of renal and cardiorenal diseases in the fields of physiology, nephrology, radiology, and cardiology. This publication is based upon work from COST Action PARENCHIMA, supported by European Cooperation in Science and Technology (COST). COST (www.cost.eu) is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. PARENCHIMA (renalmri.org) is a community-driven Action in the COST program of the European Union, which unites more than 200 experts in renal MRI from 30 countries with the aim to improve the reproducibility and standardization of renal MRI biomarkers

    Utilization of Nanoparticles for Photoacoustic Chemical Imaging

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    Tumors are known to have unique chemical properties, such as low pH (acidosis), high K+ (hyperkalemia), and low O2 (hypoxia). Tumor acidosis has been known to influence therapeutic activities of chemotherapeutic drugs. Another conventional cancer treatment, radiation therapy, is highly dependent on local oxygen concentrations. Hyperkalemia has been recently reported to suppress the immune response of activated T-cells. It is also believed that the spatial distribution of these analytes and its heterogeneity, are of relevance. Despite the importance of such chemical information on tumors, there are no clinically available tools for “quantitative” pH, K+, or tissue O2 imaging. Here, photoacoustic (PA) imaging is employed to provide chemical imaging of all these target analytes for cancer (pH, O2 and K+). As for pH, we report on an in vivo pH mapping nanotechnology. This subsurface chemical imaging is based on tumor-targeted, pH sensing nanoprobes and multi-wavelength photoacoustic imaging (PAI). The nanotechnology consists of an optical pH indicator, SNARF-5F, 5-(and-6)-Carboxylic Acid, encapsulated into polyacrylamide nanoparticles with surface modification for tumor targeting. Facilitated by multi-wavelength PAI plus a spectral unmixing technique, the accuracy of pH measurement inside the biological environment is not susceptible to the background optical absorption of biomolecules, i.e., hemoglobins. As a result, both the pH levels and the hemodynamic properties across the entire tumor can be quantitatively evaluated with high sensitivity and high spatial resolution in in vivo cancer models. For K+, we extend this technique to ion-selective photoacoustic optodes (ISPAOs) that serve at the same time as fluorescence-based ISOs, and apply it specifically to potassium (K+). However, unfortunately, sensors capable of providing potassium images in vivo are still a future proposition. Here, we prepared an ion-selective potassium nanosensor (NS) aimed at in vivo photoacoustic (PA) chemical imaging of the extracellular environment, while being also capable of fluorescence based intracellular ion-selective imaging. This potassium nanosensor (K+ NS) modulates its optical properties (absorbance and fluorescence) according to the potassium concentration. The K+ NS is capable of measuring potassium, in the range of 1 mM to 100 mM, with high sensitivity and selectivity, by ISPAO based measurements. Also, a near infrared dye surface modified K+ NS allows fluorescence-based potassium sensing in the range of 20 mM to 1 M. The K+ NS serves thus as both PA and fluorescence based nanosensor, with response across the biologically relevant K+ concentrations, from the extracellular 5 mM typical values (through PA imaging) to the intracellular 150 mM typical values (through fluorescence imaging). Lastly, nano-enabled tissue O2 monitoring by PA, called lifetime-based PA (PALT) imaging, was introduced and demonstrated. A known PALT oxygen indicator, Oxyphor G2, is conjugated into polyacrylamide nanoparticles, called G2-PAA NP. The oxygen sensing capability of the G2-PAA NP has been confirmed in vitro and in vivo studies. In an Appendix, we show how to monitor photodynamic therapy (PDT) using the PALT approach to measure the local oxygen depletion as a function of PDT time. Oxygen depletion during PDT is monitored using both oximeter and PALT spectroscopy in vitro. The latter is enabled by theranostic NPs of methylene blue (MB) conjugated PAA, used for both PALT and PDT. This synergistic approach has good potential for personalized medicine.PHDChemistryUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/143924/1/lechang_1.pd

    Preclinical MRI of the Kidney

    Get PDF
    This Open Access volume provides readers with an open access protocol collection and wide-ranging recommendations for preclinical renal MRI used in translational research. The chapters in this book are interdisciplinary in nature and bridge the gaps between physics, physiology, and medicine. They are designed to enhance training in renal MRI sciences and improve the reproducibility of renal imaging research. Chapters provide guidance for exploring, using and developing small animal renal MRI in your laboratory as a unique tool for advanced in vivo phenotyping, diagnostic imaging, and research into potential new therapies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Preclinical MRI of the Kidney: Methods and Protocols is a valuable resource and will be of importance to anyone interested in the preclinical aspect of renal and cardiorenal diseases in the fields of physiology, nephrology, radiology, and cardiology. This publication is based upon work from COST Action PARENCHIMA, supported by European Cooperation in Science and Technology (COST). COST (www.cost.eu) is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. PARENCHIMA (renalmri.org) is a community-driven Action in the COST program of the European Union, which unites more than 200 experts in renal MRI from 30 countries with the aim to improve the reproducibility and standardization of renal MRI biomarkers

    MEMS Technology for Biomedical Imaging Applications

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    Biomedical imaging is the key technique and process to create informative images of the human body or other organic structures for clinical purposes or medical science. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages of, for instance, miniaturization, high speed, higher resolution, and convenience of batch fabrication. There are many advancements and breakthroughs developing in the academic community, and there are a few challenges raised accordingly upon the designs, structures, fabrication, integration, and applications of MEMS for all kinds of biomedical imaging. This Special Issue aims to collate and showcase research papers, short commutations, perspectives, and insightful review articles from esteemed colleagues that demonstrate: (1) original works on the topic of MEMS components or devices based on various kinds of mechanisms for biomedical imaging; and (2) new developments and potentials of applying MEMS technology of any kind in biomedical imaging. The objective of this special session is to provide insightful information regarding the technological advancements for the researchers in the community
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