Image Based Respiratory Motion Extraction And Respiration Correlated Cone Beam Ct 4d Cbct Reconstruction

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Image-based Respiratory Motion Extraction and Respiration-correlated Cone Beam Ct (4d-cbct) Reconstruction

Author : Salam Dhou
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (849 download)

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Book Synopsis Image-based Respiratory Motion Extraction and Respiration-correlated Cone Beam Ct (4d-cbct) Reconstruction by : Salam Dhou

Download or read book Image-based Respiratory Motion Extraction and Respiration-correlated Cone Beam Ct (4d-cbct) Reconstruction written by Salam Dhou and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accounting for respiration motion during imaging helps improve targeting precision in radiation therapy. Respiratory motion can be a major source of error in determining the position of thoracic and upper abdominal tumor targets during radiotherapy. Thus, extracting respiratory motion is a key task in radiation therapy planning. Respiration-correlated or four-dimensional CT (4DCT) imaging techniques have been recently integrated into imaging systems for verifying tumor position during treatment and managing respiration-induced tissue motion. The quality of the 4D reconstructed volumes is highly affected by the respiratory signal extracted and the phase sorting method used. This thesis is divided into two parts. In the first part, two image-based respiratory signal extraction methods are proposed and evaluated. Those methods are able to extract the respiratory signals from CBCT images without using external sources, implanted markers or even dependence on any structure in the images such as the diaphragm. The first method, called Local Intensity Feature Tracking (LIFT), extracts the respiratory signal depending on feature points extracted and tracked through the sequence of projections. The second method, called Intensity Flow Dimensionality Reduction (IFDR), detects the respiration signal by computing the optical flow motion of every pixel in each pair of adjacent projections. Then, the motion variance in the optical flow dataset is extracted using linear and non-linear dimensionality reduction techniques to represent a respiratory signal. Experiments conducted on clinical datasets showed that the respiratory signal was successfully extracted using both proposed methods and it correlates well with standard respiratory signals such as diaphragm position and the internal markers' signal. In the second part of this thesis, 4D-CBCT reconstruction based on different phase sorting techniques is studied. The quality of the 4D reconstructed images is evaluated and compared for different phase sorting methods such as internal markers, external markers and image-based methods (LIFT and IFDR). Also, a method for generating additional projections to be used in 4D-CBCT reconstruction is proposed to reduce the artifacts that result when reconstructing from an insufficient number of projections. Experimental results showed that the feasibility of the proposed method in recovering the edges and reducing the streak artifacts.

Respiratory Prediction and Image Quality Improvement of 4D Cone Beam CT and MRI for Lung Tumor Treatments

Author : Seonyeong Park
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Respiratory Prediction and Image Quality Improvement of 4D Cone Beam CT and MRI for Lung Tumor Treatments by : Seonyeong Park

Download or read book Respiratory Prediction and Image Quality Improvement of 4D Cone Beam CT and MRI for Lung Tumor Treatments written by Seonyeong Park and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Identification of accurate tumor location and shape is highly important in lung cancer radiotherapy, to improve the treatment quality by reducing dose delivery errors. Because a lung tumor moves with the patient's respiration, breathing motion should be correctly analyzed and predicted during the treatment for prevention of tumor miss or undesirable treatment toxicity. Besides, in Image-Guided Radiation Therapy (IGRT), the tumor motion causes difficulties not only in delivering accurate dose, but also in assuring superior quality of imaging techniques such as four-dimensional (4D) Cone Beam Computed Tomography (CBCT) and 4D Magnetic Resonance Imaging (MRI). Specifically, 4D CBCT used in CBCT IGRT requires precise respiratory signal extraction to avoid burry edges, inaccurate tumor shape, and motion-induced artifacts on the reconstructed CBCT image. 4D MRIs used in MRI-guided radiation therapy typically have low resolution as a tradeoff with field of view, image acquisition time, and image quality. To predict the tumor motion and guarantee the superior quality of the imaging techniques, the dissertation is divided into three parts. The first part describes a new prediction method for respiration-related tumor movements, called Intra- and Inter-fractional variation prediction using Fuzzy Deep Learning (IIFDL). IIFDL clusters the respiratory movements based on breathing similarities, and estimates patients' breathing motion using the proposed predictor, called fuzzy deep learning. The second part of the dissertation includes a novel marker-less binning method for 4D CBCT projections, called Image Registration-based Projection Binning (IRPB), which combines intensity-based feature point detection and trajectory tracking using random sample consensus. IRPB extracts breathing motion and phases by analyzing periodicity of tissue feature point trajectories. The third part the dissertation explains a novel Super-Resolution (SR) method for 4D MRI, called Recurrent Deep Learning-based SR (RDLS), comprised of feature extraction, recurrent nonlinear mapping, and reconstruction. RDLS estimates high-resolution MRIs from low-resolution MRIs according to a specified magnification power.

Estimating Respiratory Motion from CT Images Via Deformable Models and Priors

Author : Rongping Zeng
Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Estimating Respiratory Motion from CT Images Via Deformable Models and Priors by : Rongping Zeng

Download or read book Estimating Respiratory Motion from CT Images Via Deformable Models and Priors written by Rongping Zeng and published by . This book was released on 2007 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimizing Cone Beam Computed Tomography (CBCT) System for Image Guided Radiation Therapy

Author : Chun Joo Park
Publisher :
ISBN 13 : 9781303194627
Total Pages : 160 pages
Book Rating : 4.1/5 (946 download)

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Book Synopsis Optimizing Cone Beam Computed Tomography (CBCT) System for Image Guided Radiation Therapy by : Chun Joo Park

Download or read book Optimizing Cone Beam Computed Tomography (CBCT) System for Image Guided Radiation Therapy written by Chun Joo Park and published by . This book was released on 2013 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cone Beam Computed Tomography (CBCT) system is the most widely used imaging device in image guided radiation therapy (IGRT), where set of 3D volumetric image of patient can be reconstructed to identify and correct position setup errors prior to the radiation treatment. This CBCT system can significantly improve precision of on-line setup errors of patient position and tumor target localization prior to the treatment. However, there are still a number of issues that needs to be investigated with CBCT system such as 1) progressively increasing defective pixels in imaging detectors by its frequent usage, 2) hazardous radiation exposure to patients during the CBCT imaging, 3) degradation of image quality due to patients' respiratory motion when CBCT is acquired and 4) unknown knowledge of certain anatomical features such as liver, due to lack of soft-tissue contrast which makes tumor motion verification challenging. In this dissertation, we explore on optimizing the use of cone beam computed tomography (CBCT) system under such circumstances. We begin by introducing general concept of IGRT. We then present the development of automated defective pixel detection algorithm for X-ray imagers that is used for CBCT imaging using wavelet analysis. We next investigate on developing fast and efficient low-dose volumetric reconstruction techniques which includes 1) fast digital tomosynthesis reconstruction using general-purpose graphics processing unit (GPGPU) programming and 2) fast low-dose CBCT image reconstruction based on the Gradient-Projection-Barzilai-Borwein formulation (GP-BB). We further developed two efficient approaches that could reduce the degradation of CBCT images from respiratory motion. First, we propose reconstructing four dimensional (4D) CBCT and DTS using respiratory signal extracted from fiducial markers implanted in liver. Second, novel motion-map constrained image reconstruction (MCIR) is proposed that allows reconstruction of high quality and high phase resolution 4DCBCT images with no more than the imaging dose used in a standard Free Breathing 3DCBCT (FB-3DCBCT) scan. Finally, we demonstrate a method to analyze motion characteristics of liver that are particularly important for image guided stereotactic body radiation therapy (IG-SBRT). It is anticipated that all the approaches proposed in this study, which are both technically and clinically feasible, will allow much improvement in IGRT process.

Advanced Image Reconstruction for Respiration-correlated Cone-beam Computed Tomography

Author : Frederic Madesta
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis Advanced Image Reconstruction for Respiration-correlated Cone-beam Computed Tomography by : Frederic Madesta

Download or read book Advanced Image Reconstruction for Respiration-correlated Cone-beam Computed Tomography written by Frederic Madesta and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scatter Correction and 4D Reconstruction of Cone Beam Computed Tomography (CBCT) with a Moving Blocker

Author : Cong Zhao (Ph.D.)
Publisher :
ISBN 13 :
Total Pages : 125 pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Scatter Correction and 4D Reconstruction of Cone Beam Computed Tomography (CBCT) with a Moving Blocker by : Cong Zhao (Ph.D.)

Download or read book Scatter Correction and 4D Reconstruction of Cone Beam Computed Tomography (CBCT) with a Moving Blocker written by Cong Zhao (Ph.D.) and published by . This book was released on 2019 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Come-beam computed tomography (CBCT) is being widely used as an image guidance tool in radiation therapy nowadays. The quality of CBCT image is important to localize and delineate the tumor and to define relevant volumes when the patient is in the treatment position. However, there are several factors that can deteriorate the image quality of CBCT. The large amount of scatter signal due to the use of the flat panel detector (FPD) is a major factor and greatly degrades the quality of reconstruction images. Another major factor is the respiratory motion of the patient, which can cause severe motion blurring artifacts. Although four dimensional (4D) CBCT has been developed to reduce the motion artifacts, it increases the radiation dose in order to get satisfactory reconstruction images as the conventional phase-by-phase reconstruction for 4D CBCT requires more projection data than 3D CBCT. In this dissertation, we propose some methods to address these problems.After the brief introduction of CBCT, the factors that deteriorate the CBCT image quality and the existing studies are reviewed. Next, the moving blocker scatter correction method for CBCT is introduced and its optimization using different deconvolution methods is investigated through a simulation study and a slanted-edge experimental study. A robust moving blocker scatter correction method is further developed, which uses multiple adjacent projection views to estimate a more accurate scatter distribution.Finally, 4D CBCT with a moving blocker is developed for simultaneous dose reduction and scatter correction. The effectiveness of the proposed scatter correction and 4D reconstruction methods is demonstrated either by simulations of digital phantoms or real phantom and clinical CBCT data.

Motion Estimation and Motion-compensated Reconstruction for Four-dimensional Cone Beam Computed Tomography (4D-CBCT)

Author : Xiaokun Huang
Publisher :
ISBN 13 :
Total Pages : 125 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Motion Estimation and Motion-compensated Reconstruction for Four-dimensional Cone Beam Computed Tomography (4D-CBCT) by : Xiaokun Huang

Download or read book Motion Estimation and Motion-compensated Reconstruction for Four-dimensional Cone Beam Computed Tomography (4D-CBCT) written by Xiaokun Huang and published by . This book was released on 2020 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dependence of Imaging Dose on Free-breathing Cone-beam Computed Tomography of Dynamic Tumors

Author : Kevin Ikaika Kauweloa
Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (794 download)

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Book Synopsis Dependence of Imaging Dose on Free-breathing Cone-beam Computed Tomography of Dynamic Tumors by : Kevin Ikaika Kauweloa

Download or read book Dependence of Imaging Dose on Free-breathing Cone-beam Computed Tomography of Dynamic Tumors written by Kevin Ikaika Kauweloa and published by . This book was released on 2012 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiation therapy treatment planning for patients with dynamic tumors, such as lung cancer, is often performed using four-dimensional computed tomography (4DCT) due to the presence of breathing respiratory motion. All potential locations of the tumor during its motion create the internal target volume (ITV), and 4DCT is used to define it. Since the method of treating the ITV is designed during the treatment planning stage, the correct positioning of the patient and the localization of the ITV, on the day of treatment, is critical in ensuring an effective treatment. In practice, most patients have breathing patterns where its amplitude, period, and inhalation-to-exhalation (I/E) ratio vary throughout time hence the breathing pattern during the 4DCT could differ from the breathing pattern on the day of treatment. That increases the uncertainty in the defined ITV which leads to possible inaccuracies in patient positioning and radiation beam setup. Currently, in-room cone-beam computed tomography (CBCT) is used immediately before treatment, due to the patient's inconsistent breathing, to define and localize the ITV. If any differences exist between the 4DCT and CBCT images, the treatment plan is updated. Unfortunately, CBCT provides images of mediocre quality when scanning dynamic targets, images which include dynamic artifacts. That flaw leads to further uncertainty within the defined ITV. Four-dimensional (4D) CBCT has been created and has been shown to be as effective as 4DCT, but is not in practice due to the needed increase in CT projections which will lead to an increase in the patient imaging dose if current high-dose settings are unchanged. Most clinics set the CBCT scans to its highest-dose settings (125kVp, 80mA, 25ms/frame) due to it providing the best image-quality when compared to images using lower-dose settings. In this work, low-dose CBCT parameters (110kVp, 20mA, 20ms/frame) were used to acquire images of a 3cm diameter sphere moving in accordance to 30 simulated sinusoidal breathing patterns. The low-dose CBCT images were quantitatively/qualitatively compared with the high-dose CBCT images to see if using low-dose CBCT parameters would have a significant impact on the defined ITV. In the quantitative analysis, the greatest percent reduction in ITV-contrast when going from high-dose to low-dose was found to be 10.1052% for a breathing pattern with I/E ratio of 0.2131. The overall percent change of the ITV-contrast, going from high-dose to low-dose images, was 5.2047±6.490%. In the qualitative analysis, when using the true ITV as reference with respect to the defined ITV in the low-dose and high-dose CBCT images, the ITV underestimation was found to vary by 5.2237%-11.573% for 1cm amplitude and 9.2285%-34.776% for 3cm amplitude. The percent difference between the defined ITV of the high-dose and low-dose CBCT images was 0.5220±0.5398%. Due to the insignificant difference between the defined ITV of the high-dose and low-dose images, acquiring more projections using low-dose CBCT parameters to apply 4DCBCT scans is clinically viable.

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.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

Author : Dimitris N. Metaxas
Publisher : Springer Science & Business Media
ISBN 13 : 354085987X
Total Pages : 1136 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 by : Dimitris N. Metaxas

Download or read book Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 written by Dimitris N. Metaxas and published by Springer Science & Business Media. This book was released on 2008 with total page 1136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008.The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.

Deep Learning and Data Labeling for Medical Applications

Author : Gustavo Carneiro
Publisher : Springer
ISBN 13 : 3319469762
Total Pages : 289 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Deep Learning and Data Labeling for Medical Applications by : Gustavo Carneiro

Download or read book Deep Learning and Data Labeling for Medical Applications written by Gustavo Carneiro and published by Springer. This book was released on 2016-10-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.

Image-Guided Radiation Therapy

Author : J. Daniel Bourland
Publisher : CRC Press
ISBN 13 : 1439802734
Total Pages : 258 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 CRC Press. This book was released on 2012-02-22 with total page 258 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 development or implementation of IGRT, imaging, and enabling technologies, share their first-hand experiences on the science, clinical uses, and impact of these technologies. They describe kilovoltage and megavoltage imaging as well as radiological, ultrasound, and optical technologies for determining and validating target and patient positioning. The book examines how anatomical and biological imaging using CT and PET has contributed to the understanding of target volume boundaries and biological behavior. It also explores such innovations as 4D PET/CT and digital tomosynthesis. Advancing patient care, this book focuses on a wealth of hybrid IGRT technologies and devices for coupled imaging and treatment inside the radiation treatment room. It thoroughly covers the modalities, software tools, and imaging treatment geometries that constitute IGRT.

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.

Practical Radiation Oncology Physics E-Book

Author : Sonja Dieterich
Publisher : Elsevier Health Sciences
ISBN 13 : 0323263755
Total Pages : 400 pages
Book Rating : 4.3/5 (232 download)

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Book Synopsis Practical Radiation Oncology Physics E-Book by : Sonja Dieterich

Download or read book Practical Radiation Oncology Physics E-Book written by Sonja Dieterich and published by Elsevier Health Sciences. This book was released on 2015-06-24 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect for radiation oncologists, medical physicists, and residents in both fields, Practical Radiation Oncology Physics provides a concise and practical summary of the current practice standards in therapeutic medical physics. A companion to the fourth edition of Clinical Radiation Oncology, by Drs. Leonard Gunderson and Joel Tepper, this indispensable guide helps you ensure a current, state-of-the art clinical practice. Covers key topics such as relative and in-vivo dosimetry, imaging and clinical imaging, stereotactic body radiation therapy, and brachytherapy. Describes technical aspects and patient-related aspects of current clinical practice. Offers key practice guideline recommendations from professional societies throughout — including AAPM, ASTRO, ABS, ACR, IAEA, and others. Includes therapeutic applications of x-rays, gamma rays, electron and charged particle beams, neutrons, and radiation from sealed radionuclide sources, plus the equipment associated with their production, use, measurement, and evaluation. Features a "For the Physician" box in each chapter, which summarizes the key points with the most impact on the quality and safety of patient care. Provides a user-friendly appendix with annotated compilations of all relevant recommendation documents. Medicine eBook is accessible on a variety of devices.

Introduction of Image Guided Radiotherapy Into Clinical Practice

Author : International Atomic Energy Agency
Publisher :
ISBN 13 : 9789201032188
Total Pages : 39 pages
Book Rating : 4.0/5 (321 download)

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Book Synopsis Introduction of Image Guided Radiotherapy Into Clinical Practice by : International Atomic Energy Agency

Download or read book Introduction of Image Guided Radiotherapy Into Clinical Practice written by International Atomic Energy Agency and published by . This book was released on 2019-04-04 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication provides guidelines, and highlights the milestones to be achieved by radiotherapy departments in the safe and effective introduction of image guided radiotherapy. Recent advances in external beam radiotherapy include the technology to image the patient in the treatment position, in the treatment room at the time of treatment. Since this technology and associated image techniques, termed image guided radiotherapy, are perceived as the cutting-edge of development in the field of radiotherapy, this publication addresses the concerns of personnel in radiotherapy departments as to the preparatory conditions and resources involved in implementation. Information is also presented on the current status of the evidence supporting the use of image guided radiotherapy in terms of patient outcomes.

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