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Author: Suman Bikash Mondal Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 231
Book Description
Surgery remains the only curative option for most solid tumors. The standard-of-care usually involves tumor resection and sentinel lymph node biopsy for cancer staging. Surgeons rely on their vision and touch to distinguish healthy from cancer tissue during surgery, often leading to incomplete tumor resection that necessitates repeat surgery. Sentinel lymph node biopsy by conventional radioactive tracking exposes patients and caregivers to ionizing radiation, while blue dye tracking stains the tissue highlighting only superficial lymph nodes. Improper identification of sentinel lymph nodes may misdiagnose the stage of the cancer. Therefore there is a clinical need for accurate intraoperative tumor and sentinel lymph node visualization. Conventional imaging modalities such as x-ray computed tomography, positron emission tomography, magnetic resonance imaging, and ultrasound are excellent for preoperative cancer diagnosis and surgical planning. However, they are not suitable for intraoperative use, due to bulky complicated hardware, high cost, non-real-time imaging, severe restrictions to the surgical workflow and lack of sufficient resolution for tumor boundary assessment. This has propelled interest in fluorescence-guided surgery, due to availability of simple hardware that can achieve real-time, high resolution and sensitive imaging. Near-infrared fluorescence imaging is of particular interest due to low background absorbance by photoactive biomolecules, enabling thick tissue assessment. As a result several near-infrared fluorescence-guided surgery systems have been developed. However, they are limited by bulky hardware, disruptive information display and non-matched field of view to the user. To address these limitations we have developed a compact, light-weight and wearable goggle augmented imaging and navigation system (GAINS). It detects the near-infrared fluorescence from a tumor accumulated contrast agent, along with the normal color view and displays accurately aligned, color-fluorescence images via a head-mounted display worn by the surgeon, in real-time. GAINS is a platform technology and capable of very sensitive fluorescence detection. Image display options include both video see-through and optical see-through head-mounted displays for high-contrast image guidance as well as direct visual access to the surgical bed. Image capture options from large field of view camera as well high magnification handheld microscope, ensures macroscopic as well as microscopic assessment of the tumor bed. Aided by tumor targeted near-infrared contrast agents, GAINS guided complete tumor resection in subcutaneous, metastatic and spontaneous mouse models of cancer with high sensitivity and specificity, in real-time. Using a clinically-approved near-infrared contrast agent, GAINS provided real-time image guidance for accurate visualization of lymph nodes in a porcine model and sentinel lymph nodes in human breast cancer and melanoma patients with high sensitivity. This work has addressed issues that have limited clinical adoption of fluorescence-guided surgery and paved the way for research into developing this approach towards standard-of-care practice that can potentially improve surgical outcomes in cancer.
Author: Suman Bikash Mondal Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 231
Book Description
Surgery remains the only curative option for most solid tumors. The standard-of-care usually involves tumor resection and sentinel lymph node biopsy for cancer staging. Surgeons rely on their vision and touch to distinguish healthy from cancer tissue during surgery, often leading to incomplete tumor resection that necessitates repeat surgery. Sentinel lymph node biopsy by conventional radioactive tracking exposes patients and caregivers to ionizing radiation, while blue dye tracking stains the tissue highlighting only superficial lymph nodes. Improper identification of sentinel lymph nodes may misdiagnose the stage of the cancer. Therefore there is a clinical need for accurate intraoperative tumor and sentinel lymph node visualization. Conventional imaging modalities such as x-ray computed tomography, positron emission tomography, magnetic resonance imaging, and ultrasound are excellent for preoperative cancer diagnosis and surgical planning. However, they are not suitable for intraoperative use, due to bulky complicated hardware, high cost, non-real-time imaging, severe restrictions to the surgical workflow and lack of sufficient resolution for tumor boundary assessment. This has propelled interest in fluorescence-guided surgery, due to availability of simple hardware that can achieve real-time, high resolution and sensitive imaging. Near-infrared fluorescence imaging is of particular interest due to low background absorbance by photoactive biomolecules, enabling thick tissue assessment. As a result several near-infrared fluorescence-guided surgery systems have been developed. However, they are limited by bulky hardware, disruptive information display and non-matched field of view to the user. To address these limitations we have developed a compact, light-weight and wearable goggle augmented imaging and navigation system (GAINS). It detects the near-infrared fluorescence from a tumor accumulated contrast agent, along with the normal color view and displays accurately aligned, color-fluorescence images via a head-mounted display worn by the surgeon, in real-time. GAINS is a platform technology and capable of very sensitive fluorescence detection. Image display options include both video see-through and optical see-through head-mounted displays for high-contrast image guidance as well as direct visual access to the surgical bed. Image capture options from large field of view camera as well high magnification handheld microscope, ensures macroscopic as well as microscopic assessment of the tumor bed. Aided by tumor targeted near-infrared contrast agents, GAINS guided complete tumor resection in subcutaneous, metastatic and spontaneous mouse models of cancer with high sensitivity and specificity, in real-time. Using a clinically-approved near-infrared contrast agent, GAINS provided real-time image guidance for accurate visualization of lymph nodes in a porcine model and sentinel lymph nodes in human breast cancer and melanoma patients with high sensitivity. This work has addressed issues that have limited clinical adoption of fluorescence-guided surgery and paved the way for research into developing this approach towards standard-of-care practice that can potentially improve surgical outcomes in cancer.
Author: Nan Cui Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 101
Book Description
Background: Cancer remains a major public health problem worldwide and poses a huge economic burden. Near-infrared (NIR) fluorescence image-guided surgery (IGS) utilizes molecular markers and imaging instruments to identify and locate tumors during surgical resection. Unfortunately, current state-of-the-art NIR fluorescence imaging systems are bulky, costly, and lack both fluorescence sensitivity under surgical illumination and co-registration accuracy between multimodal images. Additionally, the monitor-based display units are disruptive to the surgical workflow and are suboptimal at indicating the 3-dimensional position of labeled tumors. These major obstacles have prevented the wide acceptance of NIR fluorescence imaging as the standard of care for cancer surgery. The goal of this dissertation is to enhance cancer treatment by developing novel image sensors and presenting the information using holographic augmented reality (AR) display to the physician in intraoperative settings.Method: By mimicking the visual system of the Morpho butterfly, several single-chip, color-NIR fluorescence image sensors and systems were developed with CMOS technologies and pixelated interference filters. Using a holographic AR goggle platform, an NIR fluorescence IGS display system was developed. Optoelectronic evaluation was performed on the prototypes to evaluate the performance of each component, and small animal models and large animal models were used to verify the overall effectiveness of the integrated systems at cancer detection.Result: The single-chip bio-inspired multispectral logarithmic image sensor I developed has better main performance indicators than the state-of-the-art NIR fluorescence imaging instruments. The image sensors achieve up to 140 dB dynamic range. The sensitivity under surgical illumination achieves 6 x 108 [mu]V/(mW/cm2), which is up to 25 times higher. The signal-to-noise ratio is up to 56 dB, which is 11 dB greater. These enable high sensitivity fluorescence imaging under surgical illumination. The pixelated interference filters enable temperature-independent co-registration accuracy between multimodal images. Pre-clinical trials with small animal model demonstrate that the sensor can achieve up to 95% sensitivity and 94% specificity with tumor-targeted NIR molecular probes. The holographic AR goggle provides the physician with a non-disruptive 3-dimensional display in the clinical setup. This is the first display system that co-registers a virtual image with human eyes and allows video rate image transmission. The imaging system is tested in the veterinary science operating room on canine patients with naturally occurring cancers. In addition, a time domain pulse-width-modulation address-event-representation multispectral image sensor and a handheld multispectral camera prototype are developed.Conclusion: The major problems of current state-of-the-art NIR fluorescence imaging systems are successfully solved. Due to enhanced performance and user experience, the bio-inspired sensors and augmented reality display system will give medical care providers much needed technology to enable more accurate value-based healthcare.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 82
Book Description
What is Augmented Reality Assisted Surgery Augmented reality-assisted surgery (ARAS) is a surgical tool utilizing technology that superimposes a computer-generated image on a surgeon's view of the operative field, thus providing a composite view for the surgeon of the patient with a computer generated overlay enhancing the operative experience. It can be used for training, preparation for an operation, or performance of an operation. ARAS can be performed using a wide array of technology, including an optical head-mounted display (OHMD), such as the Google Glass XE 22.1 or Vuzix STAR 1200 XL and a digital overlay from robotic and laparoscopic surgery feeds. The technique has been primarily been tested in the urological and cardiovascular domains. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Augmented reality-assisted surgery Chapter 2: Image-guided surgery Chapter 3: Computer-assisted surgery Chapter 4: Hybrid operating room Chapter 5: Urology Chapter 6: Mahendra Bhandari Chapter 7: Mani Menon Chapter 8: Ashutosh Tewari Chapter 9: J. Hartwell Harrison Chapter 10: Craig G. Rogers (II) Answering the public top questions about augmented reality assisted surgery. (III) Real world examples for the usage of augmented reality assisted surgery in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Augmented Reality Assisted Surgery.
Author: Nova Szoka Publisher: Springer Nature ISBN: 3031406850 Category : Medical Languages : en Pages : 515
Book Description
Fluorescence-guided surgery (FGS) is defined as a medical imaging technique that uses a fluorescent dye or a near-infrared emitting light source to identify anatomic structures during surgical procedures. In 2020 alone, over 1200 academic articles were published on the topic of fluorescence-guidance surgery, a sign that this modality is making significant inroads into surgical practice. The use of near-infrared imaging and FGS is a rapidly growing modality, allowing surgeons to see more intraoperatively, enhance surgical precision, and improve surgical decision-making and patient outcomes. This manual provides a comprehensive, state-of-the art review of this field and will serve as a valuable resource for clinicians, surgeons and researchers with an interest in fluorescence-guided surgery, guiding patient management and stimulating investigative efforts. After initial chapters discussing the history of FGS and the current platforms and devices, it presents the most up-to-date data regarding the use of FGS in multiple surgical fields - colorectal, hepatic, endocrine, reconstructive, pediatric, among others - as well as in the treatment of specific conditions such as burns. Chapters are generously illustrated with full-color figures and intraoperative photographs, and selected chapters include video segments. Access to a comprehensive resource such as this is currently limited by the relatively new inroads that fluorescence-guided technology has made into surgery. The SAGES Manual of Fluorescence-Guided Surgery fills this gap in the literature.
Author: Shengkui Gao Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 142
Book Description
Image guided surgery (IGS) utilizes emerging imaging technologies to provide additional structural and functional information to the physician in clinical settings. This additional visual information can help physicians delineate cancerous tissue during resection as well as avoid damage to near-by healthy tissue. Near-infrared (NIR) fluorescence imaging (700 nm to 900 nm wavelengths) is a promising imaging modality for IGS, namely for the following reasons: First, tissue absorption and scattering in the NIR window is very low, which allows for deeper imaging and localization of tumor tissue in the range of several millimeters to a centimeter depending on the tissue surrounding the tumor. Second, spontaneous tissue fluorescence emission is minimal in the NIR region, allowing for high signal-to-background ratio imaging compared to visible spectrum fluorescence imaging. Third, decoupling the fluorescence signal from the visible spectrum allows for optimization of NIR fluorescence while attaining high quality color images. Fourth, there are two FDA approved fluorescent dyes in the NIR region--namely methylene blue (MB) and indocyanine green--which can help to identify tumor tissue due to passive accumulation in human subjects. The aforementioned advantages have led to the development of NIR fluorescence imaging systems for a variety of clinical applications, such as sentinel lymph node imaging, angiography, and tumor margin assessment. With these technological advances, secondary surgeries due to positive tumor margins or damage to healthy organs can be largely mitigated, reducing the emotional and financial toll on the patient. Currently, several NIR fluorescence imaging systems (NFIS) are available commercially or are undergoing clinical trials, such as FLARE, SPY, PDE, Fluobeam, and others. These systems capture multi-spectral images using complex optical equipment and are combined with real-time image processing to present an augmented view to the surgeon. The information is presented on a standard monitor above the operating bed, which requires the physician to stop the surgical procedure and look up at the monitor. The break in the surgical flow sometimes outweighs the benefits of fluorescence based IGS, especially in time-critical surgical situations. Furthermore, these instruments tend to be very bulky and have a large foot print, which significantly complicates their adoption in an already crowded operating room. In this document, I present the development of a compact and wearable goggle system capable of real-time sensing of both NIR fluorescence and color information. The imaging system is inspired by the ommatidia of the monarch butterfly, in which pixelated spectral filters are integrated with light sensitive elements. The pixelated spectral filters are fabricated via a carefully optimized nanofabrication procedure and integrated with a CMOS imaging array. The entire imaging system has been optimized for high signal-to-background fluorescence imaging using an analytical approach, and the efficacy of the system has been experimentally verified. The bio-inspired spectral imaging sensor is integrated with an FPGA for compact and real-time signal processing and a wearable goggle for easy integration in the operating room. The complete imaging system is undergoing clinical trials at Washington University in the St. Louis Medical School for imaging sentinel lymph nodes in both breast cancer patients and melanoma patients.
Author: Mitsuo Kusano Publisher: Springer ISBN: 4431555285 Category : Medical Languages : en Pages : 453
Book Description
This book presents a comprehensive overview and outlook for the future of indocyanine green (ICG) fluorescence navigation surgery, which is attracting clinical interest as a safe and less invasive procedure not only in detecting cerebral vessels, coronary arteries, and biliary trees, but also in identifying sentinel lymph nodes in cancer. The book starts with the characteristics of ICG and photodynamic cameras/endoscopes, followed by detailed descriptions of the applications of ICG fluorescence imaging in various areas such as ocular surgery, neurosurgery, cardiovascular surgery, and plastic surgery. It also covers identifying sentinel lymph nodes in breast cancer as well as cancers of the gastrointestinal tract, and provides valuable information for hepato-biliary-pancreatic surgeons, such as identifying tattooing of liver segments and bile leakage. Written entirely by experts in their respective areas, ICG Fluorescence Imaging and Navigation Surgery offers an essential resource for surgeons operating on cancers and vascular disorders in the brain and cardiovascular systems and in plastic surgery.
Author: João Manuel R.S. Tavares Publisher: Springer ISBN: 3319681958 Category : Technology & Engineering Languages : en Pages : 1164
Book Description
This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18–20, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, Image Enhancement, Image Processing and Analysis, Image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, Signal Processing, Simulation and Modelling, Software Development for Image Processing and Analysis, Telemedicine Systems and their Applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality. In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws’ texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision. Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, Signal Processing, Medicine and Rehabilitation.
Author: Paul M. Rea Publisher: Springer Nature ISBN: 3030474836 Category : Medical Languages : en Pages : 203
Book Description
This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. The first six chapters in this volume show the wide variety of tools and methodologies that digital technologies and visualisation techniques can be utilised and adopted in the educational setting. This ranges from body painting, clinical neuroanatomy, histology and veterinary anatomy through to real time visualisations and the uses of digital and social media for anatomical education. The last four chapters represent the diversity that technology has to be able to use differing realities and 3D capture in medical visualisation, and how remote visualisation techniques have developed. Finally, it concludes with an analysis of image overlays and augmented reality and what the wider literature says about this rapidly evolving field.
Author: Ewa Pietka Publisher: Springer ISBN: 3319912119 Category : Technology & Engineering Languages : en Pages : 618
Book Description
ITiB’2018 is the 6th Conference on Information Technology in Biomedicine, hosted every two years by the Department of Informatics & Medical Devices, Faculty of Biomedical Engineering, Silesian University of Technology. The Conference is organized under the auspices of the Committee on Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. The meeting has become an established event that helps to address the demand for fast and reliable technologies capable of processing data and delivering results in a user-friendly, timely and mobile manner. Many of these areas are recognized as research and development frontiers in employing new technology in the clinical setting. Technological assistance can be found in prevention, diagnosis, treatment, and rehabilitation alike. Homecare support for any type of disability may improve standard of living and make people’s lives safer and more comfortable. The book includes the following sections: Ø Image Processing Ø Multimodal Imaging and Computer-aided Surgery Ø Computer-aided Diagnosis Ø Signal Processing and Medical Devices Ø Bioinformatics Ø Modelling & Simulation Ø Analytics in Action on the SAS Platform Ø Assistive Technologies and Affective Computing (ATAC)
Author: Suman Bikash Mondal
Author: Suman Bikash Mondal
Author: Nan Cui
Author: Fouad Sabry
Author: Nova Szoka
Author: Shengkui Gao
Author: Brian D. Ross
Author: Mitsuo Kusano
Author: João Manuel R.S. Tavares
Author: Paul M. Rea
Author: Ewa Pietka