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Image Registration And Computational Modeling Of The Lung
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Book Synopsis Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems by : Krishnan B. Chandran
Download or read book Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems written by Krishnan B. Chandran and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems provides an overview of the current modeling methods and applications enhancing interventional treatments and computer-aided surgery. A detailed description of the techniques behind image acquisition, processing and three-dimensional reconstruction are included. Techniques for the computational simulation of solid and fluid mechanics and structure interaction are also discussed, in addition to various cardiovascular and pulmonary applications. Engineers and researchers involved with image processing and computational modeling of human organ systems will find this a valuable reference.
Book Synopsis Computational Modelling of Objects Represented in Images III by : Paolo Di Giamberardino
Download or read book Computational Modelling of Objects Represented in Images III written by Paolo Di Giamberardino and published by CRC Press. This book was released on 2012-08-24 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7 September 2012). The contributions cover the state-o
Book Synopsis Lung Imaging and Computer Aided Diagnosis by : Ayman El-Baz
Download or read book Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz and published by CRC Press. This book was released on 2011-08-23 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.
Book Synopsis Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 by : Kensaku Mori
Download or read book Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 written by Kensaku Mori and published by Springer. This book was released on 2013-09-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 86 papers included in the second volume have been organized in the following topical sections: registration and atlas construction; microscopy, histology, and computer-aided diagnosis; motion modeling and compensation; segmentation; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; physiological modeling, simulation, and planning; microscope, optical imaging, and histology; cardiology; vasculatures and tubular structures; brain segmentation and atlases; and functional MRI and neuroscience applications.
Book Synopsis Lung Imaging and Computer Aided Diagnosis by : Ayman El-Baz
Download or read book Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz and published by CRC Press. This book was released on 2016-04-19 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient's chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because
Book Synopsis Khan's Treatment Planning in Radiation Oncology by : Faiz M. Khan
Download or read book Khan's Treatment Planning in Radiation Oncology written by Faiz M. Khan and published by Lippincott Williams & Wilkins. This book was released on 2021-09-17 with total page 1342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering comprehensive coverage of the clinical, physical, and technical aspects of radiation treatment planning, Khan’s Treatment Planning in Radiation Oncology, Fifth Edition, provides a team approach to this complex field. Drs. Paul W. Sperduto and John P. Gibbons are joined by expert contributing authors who focus on the application of physical and clinical concepts to solve treatment planning problems—helping you provide effective, state-of-the-art care for cancer patients. This unique, well-regarded text has been updated throughout to reflect the most current practices in today’s radiation oncology treatment.
Book Synopsis Medical Image Registration by : Joseph V. Hajnal
Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
Book Synopsis Computational Methods of Modeling Vascular Geometry and Tracking Pulmonary Motion from Medical Images by : Guanglei Xiong
Download or read book Computational Methods of Modeling Vascular Geometry and Tracking Pulmonary Motion from Medical Images written by Guanglei Xiong and published by Stanford University. This book was released on 2011 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern anatomical medical imaging technologies, such as computed tomography and magnetic resonance, capture structures of the human body in exquisite detail. Computational anatomy is a developing discipline to extract and characterize the anatomy from images. Unfortunately, anatomical images do not reveal the functional behavior. Computational physiology shows great potential to link the structure-function relationship by considering both the anatomical information and the physical governing laws. The simulated physiology can be used to assess physiological states, and more importantly predict the outcomes of interventions. On the other hand, advances in the functional imaging techniques provide measured physiology information and should be utilized together with computational physiology. In the theme of computational anatomy and physiology, this dissertation describes computational methods of modeling vascular geometry for image-based blood flow computation and tracking pulmonary motion for image-guided radiation therapy. Blood flow computation is a useful tool to quantify in vivo hemodynamics. The essential first step is to model vascular geometry from medical imaging data. I have developed a new workflow for this task. The geometric model construction is based on 3D image segmentation and geometric processing. To represent the topology of the constructed model, I have developed a novel centerline extraction method. To account for compliant vessels, methods to assign spatially-varying mechanical properties of the vessel wall are also developed. The workflow greatly increases the modeling efficiency. The combination of the patient-specific geometry and wall deformation can enhance the fidelity of blood flow simulation. Image-based blood flow computation also holds great promise for device design and surgical procedure evaluation. Next, I have developed novel virtual intervention methods to deploy stents or stent grafts to patient-specific pre-operative geometric models constructed from medical images. These methods enable prospective model construction and may be used to evaluate the outcomes of alternative treatment options. Respiratory motion is closely related to the physiology of the lung. Finally, I have developed a novel framework to track patient-specific pulmonary motion from 4D computed tomography images. A large set of vascular junction structures in the lung are identified as landmarks and tracked to obtain their motion trajectories. This framework can provide accurate motion information, which is important in radiation therapy to reduce healthy tissue irradiation while allowing target dose escalation. This work demonstrates the importance of the geometry and motion modeling tools in computational anatomy and physiology. Accurate physiological information, whether simulated or measured, will benefit the diagnosis and treatment of various diseases.
Book Synopsis Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 by : Nicholas Ayache
Download or read book Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 written by Nicholas Ayache and published by Springer. This book was released on 2007-11-22 with total page 1044 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007. Coverage in this first volume includes diffusion tensor imaging and computing, cardiac imaging and robotics, image segmentation and classification, image guided intervention and robotics, innovative clinical and biological applications, brain atlas computing, and simulation of therapy.
Book Synopsis Thoracic Image Analysis by : Jens Petersen
Download or read book Thoracic Image Analysis written by Jens Petersen and published by Springer. This book was released on 2020-11-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic. The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications.
Book Synopsis Understanding Lung Acinar Micromechanics in Health and Disease: Linking Quantitative Imaging and Organ Scale Mechanics by Computational Modeling by : Matthias Ochs
Download or read book Understanding Lung Acinar Micromechanics in Health and Disease: Linking Quantitative Imaging and Organ Scale Mechanics by Computational Modeling written by Matthias Ochs and published by Frontiers Media SA. This book was released on 2021-02-26 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Processing in Radiation Therapy by : Kristy K. Brock
Download or read book Image Processing in Radiation Therapy written by Kristy K. Brock and published by CRC Press. This book was released on 2016-04-19 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation
Book Synopsis Multiscale Modeling to Tackle the Complexity of Load-Bearing Organ and Tissue Regulation by : Jerome Noailly
Download or read book Multiscale Modeling to Tackle the Complexity of Load-Bearing Organ and Tissue Regulation written by Jerome Noailly and published by Frontiers Media SA. This book was released on 2022-03-11 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 by : Maxime Descoteaux
Download or read book Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 written by Maxime Descoteaux and published by Springer. This book was released on 2017-09-03 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Book Synopsis Form and Function of Mammalian Lung: Analysis by Scientific Computing by : Andres Kriete
Download or read book Form and Function of Mammalian Lung: Analysis by Scientific Computing written by Andres Kriete and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1.1 Overview The precise knowledge of the three-dimensional (3-D) assembly of biological structures is still in its origin. As an example, a widely accepted concept and common belief of the structure of the airway network oflung is that of a regular, dichotomous branching pattern, also known as the trumpet model. This model, first introduced by Weibel in 1963, is often used in clinical and physiological applications. However, if this concept of dichotomy is used to model lung, a shape is obtained that is quite different from a real lung. As a matter of fact, many previous quantitative morphological and stereological investigations of lung did not concentrate on the spatial aspect of lung morphology but delivered data in a more statistical fashion. Accordingly, the functional behavior predicted by such a model becomes questionable and indeed, the morphometrically predicted lung capacity exceeds the physiological required capacity by a factor of 1.3 up to a factor of2. This problem has also been termed a paradox, as discussed by Weibel in 1983. In the rare cases where descriptive models of the mammalian bronchial tree exist, monopodial in small mammals, dichotomous in larger ones, the understanding of the historical and/or functional reasons for size-related changes in the general design is not explainable. This investigation is trying to overcome this gap by computer modeling and functional simulation.
Book Synopsis Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 by : Polina Golland
Download or read book Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 written by Polina Golland and published by Springer. This book was released on 2014-08-31 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the second volume have been organized in the following topical sections: biophysical modeling and simulation; atlas-based transfer of boundary conditions for biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning; cardiovascular imaging; intervention planning and guidance; and brain.
Book Synopsis Big Data in Multimodal Medical Imaging by : Ayman El-Baz
Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz and published by CRC Press. This book was released on 2019-11-05 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.