Registration Methods for Pulmonary Image Analysis

Registration Methods for Pulmonary Image Analysis PDF Author: Alexander Schmidt-Richberg
Publisher: Springer Science & Business Media
ISBN: 3658016620
Category : Computers
Languages : en
Pages : 179

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Book Description
Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.

Registration Methods for Pulmonary Image Analysis

Registration Methods for Pulmonary Image Analysis PDF Author: Alexander Schmidt-Richberg
Publisher: Springer Science & Business Media
ISBN: 3658016620
Category : Computers
Languages : en
Pages : 179

Get Book Here

Book Description
Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.

Integration of Morphological and Physiological Knowledge Into Registration Methods for Pulmonary Image Analysis

Integration of Morphological and Physiological Knowledge Into Registration Methods for Pulmonary Image Analysis PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 168

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Book Description


Deformable Lung Registration for Pulmonary Image Analysis of MRI and CT Scans

Deformable Lung Registration for Pulmonary Image Analysis of MRI and CT Scans PDF Author: Mattias Paul Heinrich
Publisher:
ISBN:
Category : Biomedical engineering
Languages : en
Pages : 462

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Book Description


Medical Image Registration

Medical Image Registration PDF Author: Joseph V. Hajnal
Publisher: CRC Press
ISBN: 1420042475
Category : Medical
Languages : en
Pages : 394

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Book Description
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

Lung Imaging and Computer Aided Diagnosis

Lung Imaging and Computer Aided Diagnosis PDF Author: Ayman El-Baz
Publisher: CRC Press
ISBN: 1439845573
Category : Medical
Languages : en
Pages : 483

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Book Description
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.

Pulmonary Functional Imaging

Pulmonary Functional Imaging PDF Author: Yoshiharu Ohno
Publisher: Springer Nature
ISBN: 3030435393
Category : Medical
Languages : en
Pages : 363

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Book Description
This book reviews the basics of pulmonary functional imaging using new CT and MR techniques and describes the clinical applications of these techniques in detail. The intention is to equip readers with a full understanding of pulmonary functional imaging that will allow optimal application of all relevant techniques in the assessment of a variety of diseases, including COPD, asthma, cystic fibrosis, pulmonary thromboembolism, pulmonary hypertension, lung cancer and pulmonary nodule. Pulmonary functional imaging has been promoted as a research and diagnostic tool that has the capability to overcome the limitations of morphological assessments as well as functional evaluation based on traditional nuclear medicine studies. The recent advances in CT and MRI and in medical image processing and analysis have given further impetus to pulmonary functional imaging and provide the basis for future expansion of its use in clinical applications. In documenting the utility of state-of-the-art pulmonary functional imaging in diagnostic radiology and pulmonary medicine, this book will be of high value for chest radiologists, pulmonologists, pulmonary surgeons, and radiation technologists.

The First International Workshop on Pulmonary Image Analysis

The First International Workshop on Pulmonary Image Analysis PDF Author:
Publisher: Lulu.com
ISBN: 1435759524
Category : Computers
Languages : en
Pages : 318

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Book Description
Proceedings of the First International Workshop on Pulmonary Image Analysis, held on September 6, 2008 in New York as part of the MICCAI workshop program.

Image Registration and Computational Modeling of the Lung

Image Registration and Computational Modeling of the Lung PDF Author: William J. Mullally
Publisher:
ISBN:
Category :
Languages : en
Pages : 180

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Book Description
Abstract: This thesis arises out of the study of lung physiology and the development of new techniques to help analyze the complex and prodigious amount data which modem medical imaging can provide. This document describes work in two major directions. The first is an investigation into which airways in the human airway tree contribute to the decrease in lung function in asthmatics. This works pulls together a number of well understood methods in image analysis and image registration with image data on ventilation defects and methods for building computation models of the human airway tree. We show how to incorporate ventilation defects observed in image data into subject specific models of the human airway tree. Our study indicates that ventilation defects may be caused by closures of larger airways than previously reported. Our second effort has been to advance the field of image registration to solve image alignment problems presented in the study of acute respiratory distress syndrome (ARDS). This has led us to develop two novel image registration techniques: an approach for cost-switching in non-rigid image registration and an approach to image registration using classifiers learned from example images. Our cost-switching approach has led to the first accurate semi-automatic non-rigid registration of images of healthy lungs to those of lungs after the onset of ARDS. Our example-based approach uses multiple classifiers to achieve rigid registration when image appearance has changed dramatically and non-uniformly. We show a significant increase in registration accuracy in comparison to an approach using mutual information.

Lung Imaging and Computer Aided Diagnosis

Lung Imaging and Computer Aided Diagnosis PDF Author: Ayman El-Baz
Publisher: CRC Press
ISBN: 1439845581
Category : Medical
Languages : en
Pages : 473

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Book Description
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

Thoracic Image Analysis

Thoracic Image Analysis PDF Author: Jens Petersen
Publisher: Springer Nature
ISBN: 3030624692
Category : Computers
Languages : en
Pages : 170

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Book Description
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.