Download or read book Respiratory Motion Correction for Positron Emission Tomography written by Nikolaos Dikaios and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Respiratory Motion Correction on 3D Positron Emission Tomography Images written by Mohammad Dawood and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Respiratory Motion Correction in Positron Emission Tomography written by Wenjia Bai and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Motion Correction in Thoracic Positron Emission Tomography written by Fabian Gigengack and published by Springer. This book was released on 2014-09-10 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction.

Download or read book Lesion Quantification in Respiratory Motion Compensated Positron Emission Tomography written by Nicole Christine Detorie and published by . This book was released on 2009 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Impact of Respiratory Motion Correction Methods on Tumour Detection and Quantification in Positron Emission Tomography written by and published by . This book was released on 2014 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impact on the detectability is compared with that achievable by a higher resolution scanner in order to investigate the importance of correcting for motion to realise the benefit from the increased resolution of future PET scanners.

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.

Download or read book Correction Techniques in Emission Tomography written by Mohammad Dawood and published by CRC Press. This book was released on 2012-04-27 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an interdisciplinary team of medical doctors, computer scientists, physicists, engineers, and mathematicians, Correction Techniques in Emission Tomography presents various correction methods used in emission tomography to generate and enhance images. It discusses the techniques from a computer science, mathematics, and physics viewpoint. The book gives a comprehensive overview of correction techniques at different levels of the data processing workflow. It covers nuclear medicine imaging, hybrid emission tomography (PET-CT, SPECT-CT, PET-MRI, PET-ultrasound), and optical imaging (fluorescence molecular tomography). It illustrates basic principles as well as recent advances, such as model-based iterative algorithms and 4D methods. An important aspect of the book is on new and sophisticated motion correction techniques in PET imaging. These techniques enable high-resolution, high-quality images, leading to better imaging analysis and image-based diagnostics. Reflecting state-of-the-art research, this volume explores the range of problems that occur in emission tomography. It looks at how the resulting images are affected and presents practical compensation methods to overcome the problems and improve the images.

Download or read book Respiratory Motion Correction in PET written by Paul Schleyer and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ultra low dose CT based Attenuation Correction for Respiratory Motion Compensation in PET CT Imaging written by Tzu-Cheng Lee and published by . This book was released on 2017 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Positron emission tomography (PET) is a commonly used imaging tool in the management of patients with lung cancer and is of considerable interest in quantitative imaging of the thorax. Mismatch of PET data with computed tomography (CT) attenuation correction (CTAC) due to respiratory motion is a known source of errors in PET imaging. In theory, this can be corrected by matching individual PET and CT phases which have been generated by respiratory-correlated PET and CT. However, due to the high variability of patient breathing patterns and the nature of the scanning time differences between PET and CT, current respiratory-gated CTAC protocols for the irregular breather may cause additional bias in the PET image values. A ten-fold extension of the CT scanning time duration helps reduce PET imaging bias, but leads to the higher radiation dose to the patient. Lowering the CT source flux level to reduce dose, however, leads to increased noise and bias. Here we test the possibility of using model based iterative reconstruction algorithms (MBIRs) for generating the sparse-view, ultra-low-dose (i.e. an order lower than current low-dose protocols) CTAC images for both phantom and patient PET data. We also propose a new variance estimation model, which considers statistical changes caused by the non-positivity correction process, for the MBIR algorithms. The model based iterative CT reconstruction approach does generate more accurate CTAC map compared to current approaches. However, since iterative reconstruction algorithms typically assume a normal distribution of the attenuation data, we tested if the assumption is still valid in the ultra-low-dose regime. The simulation and empirical ultra-low-dose CT studies showed a skewed post-log likelihood distribution in certain ranges. The information delineates the estimation limits of model based iterative reconstruction approach on the ultra-low-dose CT imaging, and potentially helps guide scanning protocols customized for a lowest-reasonable radiation dose.

Download or read book Numerical Methods for Image Registration written by Jan Modersitzki and published by Oxford University Press, USA. This book was released on 2004 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an introduction to image registration with particular emphasis on numerical methods in medical imaging. Designed for researchers in industry and academia, it should also be a suitable study guide for graduate mathematicians, computer scientists and medical physicists.

Download or read book Respiratory Motion Compensation in Emission Tomography written by Mauricio Antonio Reyes Aguirre and published by . This book was released on 2005 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis work deals with the problem of respiratory motion correction in emission tomography. It has been proven that respiratory motion renders blurred reconstructed images, affecting lesions detection, diagnosis, treatment, etc. The proposed approach was designed to work without any external tracking devices. It presents a retrospective scheme of motion correction based on a motion model plugged to the image reconstruction step. The model takes into account displacements and elastic deformations of emission elements (voxels), which allows to consider the non-rigid deformations produced in the thorax during respiration. Furthermore, the chosen voxel modeling improves computations, outperforming classical methods of voxel/detector-tube. Two estimation models were investigated and developed. A first simplified model consists on adapting a known respiratory motion model, obtained from a single subject, to the patient anatomy. The initial known model describes by means of a displacement vector field, the lungs deformations produced between extremal respiratory states. This displacement vector field is further adapted by means of an affine transformation to the patient's anatomy, yielding a displacement vector field that matches the thoracic cavity of the patient . The second method deals with the possible lack of robustness caused by the fact of using a single subject when constructing the known displacement vector field of the simplified method. Incorporation of subject variability into a statistical respiratory motion model was developed. The whole methodology was developed under a 3D framework and tested against simulated and real data.

Download or read book Respiratory Motion Correction in Nuclear Medicine Imaging written by Paul Schleyer and published by . This book was released on 2003 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Respiratory and Cardiac Gating in PET An Issue of PET Clinics written by Habib Zaidi and published by Elsevier Health Sciences. This book was released on 2013-01-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of issues associated with gating studies with PET imaging are mostly unknown among practitioners of the field, which is posing a significant danger to those who undergo such studies. This is particularly true for respiratory gating examination. Topics in this issue include both basic and clinical topics, including views from radiation oncology physicians.

Download or read book Motion Correction in Dual gated Myocardial Perfusion Pet Imaging written by and published by . This book was released on 2015 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Involuntary organ movement caused by respiratory and cardiac motion degrade myocardia perfusion (MP) positron emission tomography (PET) imaging and reduce defect detectability. Respiratory and/or cardiac gating can reduce motion blur at the expense of increased noise caused by lower statistics in the reconstructed image frames. The advent of integrated PET/magnetic resonance imaging (MRI) provides opportunities for motion-compensated PET imaging using MRI measured motion vector fields (MVFs). We developed a respiratory motion incorporated expectation maximaiztion (EM) PET reconstruction techniques and an MRI assisted cardiac motion correction method based on optical flow determination motion estimation. The purpose of this study is to correct respiratory and cardiac motion in dual-gated MP PET imaging. The tradeoff between noise and contrast recovery ratio as well as receiver operating characteristic (ROC) analysis were used to evaluate MP defect detectability. Ejection fraction (EF) was estimated from the reconstructed images with normal or abnormal caridac wall motion respectively. Our proposed motion correction method significantly improved MP defect and abnormal EF detectability compared with no motion correction.

Download or read book Joint Cardiac and Respiratory Motion Correction and Super resolution in Coronary PET CT written by Sonal Ambwani and published by . This book was released on 2012 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Coronary artery diseases (CAD) such as atherosclerosis is a leading cause of mortality and morbidity in industrialized nations. Such diseases are marked by development of chronic vascular inflammation in coronary arteries, and accurate assessment and characterization of this inflammation through medical imaging methods is an important step towards the treatment of CAD. It has been shown that positron emission tomography (PET) is capable of detecting large vessel inflammation via activated macrophage uptake of a radiotracer such as [ 18 F] - FDG (Fluorine-18 - Fluro deoxyglucose). However, respiratory and cardiac motions during image acquisition lead to severe blurring of the resulting images thereby rendering the spatial resolution inadequate for detection of the coronary arteries. The objective of this research is to develop novel algorithms that facilitate the ability to produce high resolution PET images of the coronary artery inflammation. In this dissertation, we propose novel algorithms for performing motion aware reconstruction in PET which fall under two categories: image domain and projection domain methods. In the image domain category, we describe a novel method for joint cardiac and respiratory motion correction in PET/CT called Cardiac Shape Tracking with Adjustment for Respiration (CSTAR). It uses a sequential cardiac and respiratory motion correction scheme by decoupling the two motions, and also features the use of all acquired data for SNR preservation. CT images are used for cardiac shape tracking through the estimation of cardiac motion. Cardiac motion correction is incorporated in a super-resolution framework, followed by adjustment for the residual respiratory motion blur using blind deconvolution. Later, we extend our previous image-domain approach to a fully integrated, data-domain method that starts from the observed projection data and performs a model-based inversion and motion correction of all the data to create a high-resolution focused cardiac image. We term the new approach Data-domain Cardiac Shape Tracking and Adjustment for Respiration or D-CSTAR. In contrast to existing image domain methods the image reconstruction and motion correction steps are not separated. Unlike current data domain methods both cardiac and respiratory motions are compensated for. In D-CSTAR, cardiac motion parameters are estimated from X-ray CT images acquired in a breath-hold state. This cardiac motion information is incorporated in a unified PET reconstruction functional which jointly estimates and corrects for respiratory motion, compensates for phase aligned cardiac motion, and super-resolves the image. The technique is presented and applied to simulated cardiac PET/CT data corresponding to the XCAT phantom with both cardiac and respiratory cycles. The results show a marked qualitative and quantitative improvement when compared to conventional and existing PET methods.

Download or read book PET MRI in Oncology written by Andrei Iagaru and published by Springer. This book was released on 2018-01-23 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, experts from premier institutions across the world with extensive experience in the field clearly and succinctly describe the current and anticipated uses of PET/MRI in oncology. The book also includes detailed presentations of the MRI and PET technologies as they apply to the combined PET/MRI scanners. The applications of PET/MRI in a wide range of oncological settings are well documented, highlighting characteristic findings, advantages of this dual-modality technique, and pitfalls. Whole-body PET/MRI applications and pediatric oncology are discussed separately. In addition, information is provided on PET technology designs and MR hardware for PET/MRI, MR pulse sequences and contrast agents, attenuation and motion correction, the reliability of standardized uptake value measurements, and safety considerations. The balanced presentation of clinical topics and technical aspects will ensure that the book is of wide appeal. It will serve as a reference for specialists in nuclear medicine and radiology and oncologists and will also be of interest for residents in these fields and technologists.