Lung Motion Modelling And Estimation For Image Guided Radiation

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Lung Motion Modelling and Estimation for Image Guided Radiation

Author : Jef Vandemeulebroucke
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (81 download)

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Book Synopsis Lung Motion Modelling and Estimation for Image Guided Radiation by : Jef Vandemeulebroucke

Download or read book Lung Motion Modelling and Estimation for Image Guided Radiation written by Jef Vandemeulebroucke and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The principal aim of this work is to provide methodological contributions for the quantification, characterization and representation of lung motion, in order to facilitate its inclusion in the radiotherapy treatment process. We describe a method for automatically extracting a motion mask, which divides the thorax into moving and less-moving regions. By providing an interface where sliding motion occurs, the discontinuity in the motion fields is preserved and registration is facilitated. Stronger smoothness constraints can be applied for each region separately while maintaining matching accuracy. Next, a spatio-temporal registration framework for respiratory-correlated imaging of the lungs is developed. A spatial transformation based on B-splines is extended to the temporal domain by coupling it to a cyclic trajectory model with suitable smoothness constraints. The obtained deformation model is shown to be capable of accurately representing respiratory motion while using a more compact and restrictive parameterisation. By enforcing the temporal coherence of the deformation across the breathing cycle, robustness to artefacts of subsequent deformable registration is improved. Finally, we investigated the feasibility of performing respiratory motion estimation from a cone-beam projection sequence. A prior is introduced in the form of a patient-specific model built from a previously acquired 4D~CT image. Motion estimation is accomplished by comparing the cone-beam projection sequence to projection views of the patient model. A semi-global optimisation approach is utilized, considering the entire breathing cycle and providing smooth motion estimates per cycle.

4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Author : Jan Ehrhardt
Publisher : Springer
ISBN 13 : 9783642446061
Total Pages : 0 pages
Book Rating : 4.4/5 (46 download)

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Book Synopsis 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy by : Jan Ehrhardt

Download or read book 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy written by Jan Ehrhardt and published by Springer. This book was released on 2015-07-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to breathing-induced tumor and organ motion where motion amplitudes can measure up to several centimeters. Therefore, modeling of respiratory motion has become increasingly important in radiation therapy. With 4D imaging techniques spatiotemporal image sequences can be acquired to investigate dynamic processes in the patient’s body. Furthermore, image registration enables the estimation of the breathing-induced motion and the description of the temporal change in position and shape of the structures of interest by establishing the correspondence between images acquired at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models for gated or robotic radiotherapy. In this book, the increasing role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences is illustrated. Different 4D CT image acquisition techniques and conceptually different motion estimation algorithms are presented. The clinical relevance is demonstrated by means of example applications which are related to the radiation therapy of thoracic and abdominal tumors. The state of the art and perspectives are shown by an insight into the current field of research. The book is addressed to biomedical engineers, medical physicists, researchers and physicians working in the fields of medical image analysis, radiology and radiation therapy.

4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Author : Jan Ehrhardt
Publisher : Springer Science & Business Media
ISBN 13 : 3642364411
Total Pages : 352 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy by : Jan Ehrhardt

Download or read book 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy written by Jan Ehrhardt and published by Springer Science & Business Media. This book was released on 2013-05-30 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to breathing-induced tumor and organ motion where motion amplitudes can measure up to several centimeters. Therefore, modeling of respiratory motion has become increasingly important in radiation therapy. With 4D imaging techniques spatiotemporal image sequences can be acquired to investigate dynamic processes in the patient’s body. Furthermore, image registration enables the estimation of the breathing-induced motion and the description of the temporal change in position and shape of the structures of interest by establishing the correspondence between images acquired at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models for gated or robotic radiotherapy. In this book, the increasing role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences is illustrated. Different 4D CT image acquisition techniques and conceptually different motion estimation algorithms are presented. The clinical relevance is demonstrated by means of example applications which are related to the radiation therapy of thoracic and abdominal tumors. The state of the art and perspectives are shown by an insight into the current field of research. The book is addressed to biomedical engineers, medical physicists, researchers and physicians working in the fields of medical image analysis, radiology and radiation therapy.

Surface Guided Radiation Therapy

Author : Jeremy David Page Hoisak
Publisher : CRC Press
ISBN 13 : 0429951809
Total Pages : 515 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Surface Guided Radiation Therapy by : Jeremy David Page Hoisak

Download or read book Surface Guided Radiation Therapy written by Jeremy David Page Hoisak and published by CRC Press. This book was released on 2020-02-13 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surface Guided Radiation Therapy provides a comprehensive overview of optical surface image guidance systems for radiation therapy. It serves as an introductory teaching resource for students and trainees, and a valuable reference for medical physicists, physicians, radiation therapists, and administrators who wish to incorporate surface guided radiation therapy (SGRT) into their clinical practice. This is the first book dedicated to the principles and practice of SGRT, featuring: Chapters authored by an internationally represented list of physicists, radiation oncologists and therapists, edited by pioneers and experts in SGRT Covering the evolution of localization systems and their role in quality and safety, current SGRT systems, practical guides to commissioning and quality assurance, clinical applications by anatomic site, and emerging topics including skin mark-less setups. Several dedicated chapters on SGRT for intracranial radiosurgery and breast, covering technical aspects, risk assessment and outcomes. Jeremy Hoisak, PhD, DABR is an Assistant Professor in the Department of Radiation Medicine and Applied Sciences at the University of California, San Diego. Dr. Hoisak’s clinical expertise includes radiosurgery and respiratory motion management. Adam Paxton, PhD, DABR is an Assistant Professor in the Department of Radiation Oncology at the University of Utah. Dr. Paxton’s clinical expertise includes patient safety, motion management, radiosurgery, and proton therapy. Benjamin Waghorn, PhD, DABR is the Director of Clinical Physics at Vision RT. Dr. Waghorn’s research interests include intensity modulated radiation therapy, motion management, and surface image guidance systems. Todd Pawlicki, PhD, DABR, FAAPM, FASTRO, is Professor and Vice-Chair for Medical Physics in the Department of Radiation Medicine and Applied Sciences at the University of California, San Diego. Dr. Pawlicki has published extensively on quality and safety in radiation therapy. He has served on the Board of Directors for the American Society for Radiology Oncology (ASTRO) and the American Association of Physicists in Medicine (AAPM).

Principles and Practice of Image-Guided Radiation Therapy of Lung Cancer

Author : Jing Cai
Publisher : CRC Press
ISBN 13 : 1498736785
Total Pages : 396 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Principles and Practice of Image-Guided Radiation Therapy of Lung Cancer by : Jing Cai

Download or read book Principles and Practice of Image-Guided Radiation Therapy of Lung Cancer written by Jing Cai and published by CRC Press. This book was released on 2017-09-18 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview on the use of image-guided radiation therapy (IGRT) in the treatment of lung cancer, covering step-by-step guidelines for clinical implementations, fundamental principles and key technical advances. It covers benefits and limitations of techniques as well as quality and safety issues related to IGRT practice. Addresses imaging simulation, treatment planning, verification, and delivery Discusses important quality assurance issues Describes current methods using specialized machines and technologies Jing Cai, PhD, is an Associate Professor of Radiation Oncology at Duke University Medical Center. Joe Y. Chang, MD, PhD, is Professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center in Houston. Fang-Fang Yin, PhD, is Chief of the Division of Radiation Physics, Professor of Radiation Oncology, and Director of the Medical Physics program at Duke University.

Prediction of Tumor Deformation for Image Guided Radiation Therapy

Author : Christoph Bernhard Hoog Antink
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (763 download)

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Book Synopsis Prediction of Tumor Deformation for Image Guided Radiation Therapy by : Christoph Bernhard Hoog Antink

Download or read book Prediction of Tumor Deformation for Image Guided Radiation Therapy written by Christoph Bernhard Hoog Antink and published by . This book was released on 2011 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiation therapy uses ionizing radiation to damage the DNA of cancerous cells. It is extensively used for curative and palliative treatment and constitutes more than 50% of all lung cancer treatment modalities. Precise knowledge of the shape and location of the tumor is mandatory for effective Intensity Modulated Radiation Therapy. The task of accurately targeting the tumor is especially challenging when the tumor's location and shape is influenced by respiratory motion (e.g. tumors on the lung, breast, etc.).In this work, we develop an image-processing technique that assists the radiation therapy planning process, by exploiting computed tomography images to estimate the shape and position of the tumor over the breathing cycle. To validate the proposed algorithm for Deformable Image Registration, benchmark datasets provided to the community by a research group at The University of Texas M. D. Anderson Cancer Center (http://www.dir-lab.com/) were used. Numerical evaluation illustrates that the proposed algorithm outperforms all algorithms tested on the benchmark dataset for a majority of the cases. To advance the field of on-line tumor tracking from rigid motion towards deformation, time-varying Fourier Descriptors were used to learn a deformation model. Combining these two techniques we further developed a Semi-Automated Contouring software and evaluated it with real patient data provided by the Roswell Park Cancer Institute.

Registration Methods for Pulmonary Image Analysis

Author : Alexander Schmidt-Richberg
Publisher : Springer Science & Business Media
ISBN 13 : 3658016620
Total Pages : 179 pages
Book Rating : 4.6/5 (58 download)

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Book Synopsis Registration Methods for Pulmonary Image Analysis by : Alexander Schmidt-Richberg

Download or read book Registration Methods for Pulmonary Image Analysis written by Alexander Schmidt-Richberg and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Estimating the Respiratory Lung Motion Model Using Tensor Decomposition on Displacement Vector Field

Author : Kingston Kang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Estimating the Respiratory Lung Motion Model Using Tensor Decomposition on Displacement Vector Field by : Kingston Kang

Download or read book Estimating the Respiratory Lung Motion Model Using Tensor Decomposition on Displacement Vector Field written by Kingston Kang and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern big data often emerge as tensors. Standard statistical methods are inadequate to deal with datasets of large volume, high dimensionality, and complex structure. Therefore, it is important to develop algorithms such as low-rank tensor decomposition for data compression, dimensionality reduction, and approximation. With the advancement in technology, high-dimensional images are becoming ubiquitous in the medical field. In lung radiation therapy, the respiratory motion of the lung introduces variabilities during treatment as the tumor inside the lung is moving, which brings challenges to the precise delivery of radiation to the tumor. Several approaches to quantifying this uncertainty propose using a model to formulate the motion through a mathematical function over time. [Li et al., 2011] uses principal component analysis (PCA) to propose one such model using each image as a long vector. However, the images come in a multidimensional arrays, and vectorization breaks the spatial structure. Driven by the needs to develop low-rank tensor decomposition and provided the 4DCT and Displacement Vector Field (DVF), we introduce two tensor decompositions, Population Value Decomposition (PVD) and Population Tucker Decomposition (PTD), to estimate the respiratory lung motion with high levels of accuracy and data compression. The first algorithm is a generalization of PVD [Crainiceanu et al., 2011] to higher order tensor. The second algorithm generalizes the concept of PVD using Tucker decomposition. Both algorithms are tested on clinical and phantom DVFs. New metrics for measuring the model performance are developed in our research. Results of the two new algorithms are compared to the result of the PCA algorithm.

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Author : M. Jorge Cardoso
Publisher : Springer
ISBN 13 : 3319675648
Total Pages : 196 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment by : M. Jorge Cardoso

Download or read book Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-06 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.

Novel Techniques for Respiratory Motion Estimation and Modelling from Magnetic Resonance Data

Author : Christian Buerger
Publisher :
ISBN 13 :
Total Pages : 362 pages
Book Rating : 4.:/5 (795 download)

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Book Synopsis Novel Techniques for Respiratory Motion Estimation and Modelling from Magnetic Resonance Data by : Christian Buerger

Download or read book Novel Techniques for Respiratory Motion Estimation and Modelling from Magnetic Resonance Data written by Christian Buerger and published by . This book was released on 2011 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging such as Magnetic Resonance (MR) imaging and Positron Emission Tomography (PET) are commonly used in the diagnosis and treatment follow-up of cancer. Respiratory motion, however, introduces motion blurring and degrades image quality. As a solution, motion models have been proposed but remain challenging due to the following problems. First, common motion estimation algorithms are computationally complex (and consequently time-consuming) and often have poor robustness when large deformations are present. Second, due to technical limitations of current MR systems, prospective acquisitions are not capable of acquiring images with both high temporal and spatial resolution, which are required for accurate motion estimations. In this thesis, both challenges are addressed. A new registration algorithm has been developed which estimates complex non-rigid motion by a combination of multiple local affine components. This algorithm allows fast and accurate motion estimations and is robust against large deformations due to its adaptive hierarchical structure. Furthermore, a new reconstruction scheme has been developed which retrospectively combines raw data acquired from free-breathing acquisitions to reconstruct multiple images covering the complete range of the breathing cycle. This reconstruction method overcomes the spatial-temporal trade-off and produces near motion-free respiratory images with high isotropic resolution. Both methods are combined to model the continuous deformation of the abdomen during an average breathing cycle, with errors in model predictions of comparable magnitude to the image resolution. A modification of this work is used to allow highly efficient motion compensated reconstructions from short acquisitions under free-breathing.

Image Processing in Radiation Therapy

Author : Kristy K. Brock
Publisher : CRC Press
ISBN 13 : 1439830185
Total Pages : 269 pages
Book Rating : 4.4/5 (398 download)

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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

Respiratory Motion Modeling for Use in Diagnostic Imaging and Radiation Therapy

Author : Hadi Fayad
Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.:/5 (866 download)

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Book Synopsis Respiratory Motion Modeling for Use in Diagnostic Imaging and Radiation Therapy by : Hadi Fayad

Download or read book Respiratory Motion Modeling for Use in Diagnostic Imaging and Radiation Therapy written by Hadi Fayad and published by . This book was released on 2011 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most important parameters reducing the sensitivity and specificity in the thoracic and abdominal areas is respiratory motion and associated deformations which represent today an important challenge in medical imaging. In addition, respiratory motion reduces accuracy in image fusion from combined positron emission tomography computed tomography (PET/CT) systems. Solutions presented to date include respiratory synchronized PET and CT acquisitions. However, differences between acquired 4D PET and corresponding CT image series have been reported due to differences in respiration conditions during PET and CT acquisitions. In addition, the radiation dose burden resulting from a 4D CT acquisition may not be justifiable for every patient. The first objective of this thesis was to generate dynamic CT images from one reference CT image; based on deformation matrices obtained from the elastic registration of 4D non attenuation corrected PET images. Such an approach eliminates, on one hand the need for the acquisition of dynamic CT, while at the same time ensuring the good matching between CT and PET images. The second objective was to develop and evaluate methods of building patient specific respiratory motion models and at as a second step more developed generic respiratory motion models. These models relate the internal motion to the parameters of an external surrogate signal (PET respiratory signal or patient's surface) that can be acquired during data acquisition and treatment delivery. Finally, the two developed models were validated and used in the PET respiratory motion and attenuation correction and in radiation therapy applications.

Image-Guided Radiation Therapy

Author : J. Daniel Bourland
Publisher : Taylor & Francis
ISBN 13 : 1439802742
Total Pages : 254 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Image-Guided Radiation Therapy by : J. Daniel Bourland

Download or read book Image-Guided Radiation Therapy written by J. Daniel Bourland and published by Taylor & Francis. This book was released on 2012-02-22 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-Guided Radiation Therapy presents key image-guided radiation treatment (IGRT) technologies for external beam radiotherapy. The book explores the decades-long technological developments that have occurred in the realm of image-guided conformal, customized radiation treatment. Expert authors, all of whom have actively participated in the develo

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

Author : Nicholas Ayache
Publisher : Springer
ISBN 13 : 3540757570
Total Pages : 1044 pages
Book Rating : 4.5/5 (47 download)

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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.

Image-Guided Interventions

Author : Terry Peters
Publisher : Springer Science & Business Media
ISBN 13 : 0387738584
Total Pages : 576 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Image-Guided Interventions by : Terry Peters

Download or read book Image-Guided Interventions written by Terry Peters and published by Springer Science & Business Media. This book was released on 2008-05-21 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to the growing demand for minimally invasive procedures, this book provides a comprehensive overview of the current technological advances in image-guided surgery. It blends the expertise of both engineers and physicians, offering the latest findings and applications. Detailed color images guide readers through the latest techniques, including cranial, orthopedic, prostrate, and endovascular interventions.

Image-Guided Radiotherapy of Lung Cancer

Author : James D. Cox
Publisher : CRC Press
ISBN 13 : 0849387825
Total Pages : 210 pages
Book Rating : 4.8/5 (493 download)

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Book Synopsis Image-Guided Radiotherapy of Lung Cancer by : James D. Cox

Download or read book Image-Guided Radiotherapy of Lung Cancer written by James D. Cox and published by CRC Press. This book was released on 2007-09-20 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer is the leading cause of cancer death in the United States, but IGRT (image guided radiation therapy) offers the possibility of more aggressive and enhanced treatments. The only available source on the subject that emphasizes new imaging techniques, and provides step-by-step treatment guidelines for lung cancer, this source helps clinici

Stereotactic Body Radiation Therapy

Author : Simon S. Lo
Publisher : Springer Science & Business Media
ISBN 13 : 3642256058
Total Pages : 434 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Stereotactic Body Radiation Therapy by : Simon S. Lo

Download or read book Stereotactic Body Radiation Therapy written by Simon S. Lo and published by Springer Science & Business Media. This book was released on 2012-08-28 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stereotactic body radiation therapy (SBRT) has emerged as an important innovative treatment for various primary and metastatic cancers. This book provides a comprehensive and up-to-date account of the physical/technological, biological, and clinical aspects of SBRT. It will serve as a detailed resource for this rapidly developing treatment modality. The organ sites covered include lung, liver, spine, pancreas, prostate, adrenal, head and neck, and female reproductive tract. Retrospective studies and prospective clinical trials on SBRT for various organ sites from around the world are examined, and toxicities and normal tissue constraints are discussed. This book features unique insights from world-renowned experts in SBRT from North America, Asia, and Europe. It will be necessary reading for radiation oncologists, radiation oncology residents and fellows, medical physicists, medical physics residents, medical oncologists, surgical oncologists, and cancer scientists.