Download or read book Algorithms for Automatic Localization Segmentation and Diagnosis of Lumbar Pathology written by Subarna Ghosh and published by . This book was released on 2014 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lower back pain is widely prevalent in people all over the world and negatively affects the quality of life due to chronic pain and change in posture. According to the American Academy of Orthopedic Surgeons (AAOS) four out of five adults experience low back pain at some point during their lives. The National Center for Health Statistics shows that more than 30 million MRI exams are conducted annually in the US and half of them are spine-related. A matter of great concern is that, in the last decade there has been a severe shortage of radiologists and projections show that there will be a significant boom in the ratio of their demand and supply. A CAD (Computer- Aided Diagnosis) system to generate diagnostic results from clinical lumbar (lower back) MR and CT scans would not only reduce the burden on a radiologist, but also boost the confidence on a diagnosis. This motivates us to strive towards the development of a robust, accurate and fully automated system to localize the various tissues like the vertebra, inter-vertebral discs and the spinal cord in clinical lumbar scans. A complete localization and segmentation would eventually be used by an automatic diagnostic system to detect lumbar abnormalities like disc herniation without any human intervention. Towards that end, my doctoral dissertation proposal consists of two parts :1) Automatic Diagnosis of Lumbar Disorders : We propose algorithms for diagnosis of lumbar disorders using clinical CT and MRI scans. First, we present a fully automated method for robustly localizing and segmenting the lumbar vertebrae along with a method for diagnosis of wedge compression fracture from clinical lumbar CT. Second, we propose algorithms to circumvent the challenging issue of disc segmentation in MRI for disc herniation detection. Unlike past research, we present a localization method which combines supervised learning with heuristics to output a disc bounding box with enhanced localization accuracy. We also present feature ex- traction methods from the disc bounding boxes and report a performance comparison of individual and combined features for abnormal disc detection. Generally a radiologist detects an abnormality like disc herniation using the sagittal scans, and then makes use of the axial scans to localize and quantify, i.e. , to estimate the location and size of the lumbar pathology. With this in mind, we finally present encouraging results on the use of axial MRI slices for automatic diagnosis, which could be extended for localization and quantification of disc abnormalities. 2) Complete segmentation of lumbar MRI : We propose algorithms for complete segmentation of sagittal lumbar MRI using two approaches - first, is an atlas-based approach, while the second is an auto-context based approach, both of which intelligently utilizes neighborhood label information along with appearance information for complete MRI segmentation. In the near future, we plan to utilize these algorithms towards the development of a completely automated and robust system to diagnose, locate and quantify lumbar disc disorders.
Download or read book Intramedullary Spinal Cord Tumors written by Georges Fischer and published by Thieme. This book was released on 1996 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the first book in 30 years to cover all diagnostic and therapeutic aspects of intramedullary spinal cord tumors (IMTs), a relatively rare but often misdiagnosed type of tumor. You will benefit from the largest personal collection of operated cases (171) ever assembled, as well as a review of 1,100 additional cases, making this the single most comprehensive book on IMTs available today. You will also appreciate the vital role of MRI in accurately diagnosing these tumors and review the latest technical refinements in surgical methods. Divided into three parts, the book begins with the diagnostic and therapeutic problems common to all intramedullary spinal cord tumors, then covers the histology of individual tumors, and finally examines the controversial value of radiotherapy in the treatment of both benign and malignant tumors in children and adults. Throughout, full-color illustrations depict anatomy from a surgical point of view.
Download or read book Computational Methods and Clinical Applications for Spine Imaging written by Guoyan Zheng and published by Springer. This book was released on 2019-03-15 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging.
Download or read book Robotic and Navigated Spine Surgery E Book written by Anand Veeravagu and published by Elsevier Health Sciences. This book was released on 2022-06-03 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the benefits of surgical robotic systems in spine surgery become more widely known, spine procedures that utilize these technologies are expected to greatly increase over the next decade. Robotic and Navigated Spine Surgery: Surgical Techniques and Advancements provides up-to-date, authoritative clinical guidance in this dynamic area for surgeons who are already using these innovative methods, as well as for those exploring the field. In a single, convenient source, this title comprehensively summarizes clinical studies, advancements, and expert recommendations regarding today's robotic and navigated spine surgery. - Covers the recent advancements and impact that popular neuronavigation devices and surgical robots have had on the surgical management of the spine, including clinical studies, technical guides, review papers, and expert recommendations. - Discusses devices that today's surgeons are most likely to use, such as navigation devices, robotics, augmented reality, and virtual reality systems. - Includes focused content on complex spine surgeries, where navigation and robotic devices can have the most significant impact. - Features procedural images including radiographs, surgical photos, and equipment photos for visual guidance. - Contains chapters on navigation in occipital and cervical spine surgery, spinal trauma and navigation, navigated and robotic-assisted deformity correction, cost-effectiveness of robotic and navigation systems, virtual reality and augmented reality in spine surgery, and more.
Download or read book Computational Methods and Clinical Applications for Spine Imaging written by Tomaž Vrtovec and published by Springer. This book was released on 2016-07-20 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 9 workshop papers and 6 challenge contributions were carefully reviewed and selected for inclusion in this volume. The papers cover all major aspects related to spine imaging.
Download or read book Image Analysis and Recognition written by Fakhri Karray and published by Springer. This book was released on 2017-06-19 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.
Download or read book Fetal MRI written by Daniela Prayer and published by Springer Science & Business Media. This book was released on 2011-02-15 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the most comprehensive book to be written on the subject of fetal MRI. It provides a practical hands-on approach to the use of state-of-the-art MRI techniques and the optimization of sequences. Fetal pathological conditions and methods of prenatal MRI diagnosis are discussed by organ system, and the available literature is reviewed. Interpretation of findings and potential artifacts are thoroughly considered with the aid of numerous high-quality illustrations. In addition, the implications of fetal MRI are explored from the medico-legal and ethical points of view. This book will serve as a detailed resource for radiologists, obstetricians, neonatologists, geneticists, and any practitioner wanting to gain an in-depth understanding of fetal MRI technology and applications. In addition, it will provide a reference source for technologists, researchers, students, and those who are implementing a fetal MRI service in their own facility.
Download or read book Benzel s Spine Surgery E Book written by Michael P. Steinmetz and published by Elsevier Health Sciences. This book was released on 2021-05-18 with total page 2116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written and edited by world-renowned experts in the field, Benzel’s Spine Surgery: Techniques, Complication Avoidance and Management, 5th Edition, provides expert, step-by-step guidance on the evaluation and management of disorders of the spine. This definitive, two-volume work explores the full spectrum of techniques used in spine surgery, giving you the tools you need to hone your skills and increase your knowledge in this challenging area. Clearly organized and extensively revised throughout, it features contributions from both neurosurgeons and orthopaedic surgeons to present a truly comprehensive approach to spine disease. Offers a thorough overview of the effective management of patients with spinal disorders, including fundamental principles, biomechanics, applied anatomy, instrumentation, pathophysiology of spinal disorders, surgical techniques, motion preservation strategies, non-surgical management, and complication avoidance and management, as well as controversies. Focuses on both pathophysiology and surgical treatment of spine disease, with an increased emphasis on minimally invasive surgery. Contains new features such as key points boxes at the beginning of chapters and algorithms to help streamline the decision making process. Covers today’s hot topics in spine surgery, such as health economics, artificial intelligence, predictive analytics, new less invasive techniques including endoscopic spine surgery, and the future of spine surgery. Provides expert coverage of key topics including biomechanics of motion preservation techniques, spinal injuries in sports, biologics in spine fusion surgery, anterior sub-axial cervical fixation and fusion techniques, complex lumbosacropelvic fixation techniques, and many more. Features more than 1,500 high-quality illustrations, as well as new procedural videos on en bloc spondylectomy, minimally invasive endoscopic posterior cervical foraminotomy, cervical total disc replacement, minimally invasive lumbar decompression of stenosis, and more. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
Download or read book Artificial Intelligence in Models Methods and Applications written by Olga Dolinina and published by Springer Nature. This book was released on 2023-04-24 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.
Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
Download or read book Pattern Recognition and Information Processing written by Alexander V. Tuzikov and published by Springer Nature. This book was released on 2022-03-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
Download or read book Medical Imaging Informatics written by Alex A.T. Bui and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
Download or read book Biomedical Data Mining for Information Retrieval written by Sujata Dash and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.
Download or read book Youmans and Winn Neurological Surgery E Book written by H. Richard Winn and published by Elsevier Health Sciences. This book was released on 2022-01-21 with total page 7439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Widely regarded as the definitive reference in the field, Youmans and Winn Neurological Surgery offers unparalleled, multimedia coverage of the entirety of this complex specialty. Fully updated to reflect recent advances in the basic and clinical neurosciences, the 8th Edition covers everything you need to know about functional and restorative neurosurgery, deep brain stimulation, stem cell biology, radiological and nuclear imaging, and neuro-oncology, as well as minimally invasive surgeries in spine and peripheral nerve surgery, and endoscopic and other approaches for cranial procedures and cerebrovascular diseases. In four comprehensive volumes, Dr. H. Richard Winn and his expert team of editors and authors provide updated content, a significantly expanded video library, and hundreds of new video lectures that help you master new procedures, new technologies, and essential anatomic knowledge in neurosurgery. - Discusses current topics such as diffusion tensor imaging, brain and spine robotic surgery, augmented reality as an aid in neurosurgery, AI and big data in neurosurgery, and neuroimaging in stereotactic functional neurosurgery. - 55 new chapters provide cutting-edge information on Surgical Anatomy of the Spine, Precision Medicine in Neurosurgery, The Geriatric Patient, Neuroanesthesia During Pregnancy, Laser Interstitial Thermal Therapy for Epilepsy, Fetal Surgery for Myelomeningocele, Rehabilitation of Acute Spinal Cord Injury, Surgical Considerations for Patients with Polytrauma, Endovascular Approaches to Intracranial Aneurysms, and much more. - Hundreds of all-new video lectures clarify key concepts in techniques, cases, and surgical management and evaluation. Notable lecture videos include multiple videos on Thalamotomy for Focal Hand Dystonia and a video to accompany a new chapter on the Basic Science of Brain Metastases. - An extensive video library contains stunning anatomy videos and videos demonstrating intraoperative procedures with more than 800 videos in all. - Each clinical section contains chapters on technology specific to a clinical area. - Each section contains a chapter providing an overview from experienced Section Editors, including a report on ongoing controversies within that subspecialty. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
Download or read book Shape Analysis in Medical Image Analysis written by Shuo Li and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
Download or read book AI 2019 Advances in Artificial Intelligence written by Jixue Liu and published by Springer Nature. This book was released on 2019-11-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing.
Download or read book Medical Image Analysis written by Alejandro Frangi and published by Academic Press. This book was released on 2023-09-20 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing
