Applications Of Deformable Image Registration
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Applications Of Deformable Image Registration
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Author : Marc Morcos
language : en
Publisher:
Release Date : 2011
Applications Of Deformable Image Registration written by Marc Morcos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
The contents of this thesis are best divided into two components: (i) evaluation of atlas-based segmentation and deformable contour propagation and (ii) adaptive radiation therapy using deformable electron density mapping. The first component of this thesis involves the evaluation of two commercial deformable registration systems with respect to automatic segmentation techniques. Overall, the techniques revealed that manual modifications would be required if the structures were to be used for treatment planning. The automatic segmentation methods utilized by both commercial products serve as an excellent starting point for contouring process and also reduce inter- and intra-physician variability when contouring. In the second component, we developed a framework for dose accumulation adaptive radiation therapy. By registering the planning computed tomography (CT) images to the weekly cone-beam computed tomography (CBCT) images, we were able to produce modified CBC...
Novel Applications Of 2d And 3d Deformable Registration In Image Guided Radiation Therapy
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Author : Vasant Patrick Kearney
language : en
Publisher:
Release Date : 2012
Novel Applications Of 2d And 3d Deformable Registration In Image Guided Radiation Therapy written by Vasant Patrick Kearney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Image-guided radiation therapy (IGRT) is clinically appealing as it offers real-time patient specific image feedback and anatomical variation adaptation. Correcting non-linear misalignment of cone-beam CT (CBCT) to simulated 4DCT projection image intra-fractionally and inter-fractionally provides an opportunity to increase precision and accuracy of target localization. Taking advantage of on-board CBCT to perform deformable image registration (DIR), implemented on GPUs, allows for real-time and retrospective anatomical tracking. Increasing the spatial congruence of the on board imager to the simulation can allow for dose escalation using hypo-fractionated regimens in addition to dose reduction to organs at risk and improved target dose coverage, increasing local control without increasing toxicity. Robust respiratory signal extraction is crucial in pulmonary lesson localization. This work demonstrates the evaluation and application of DIR implemented on GPUs as a tool for IGRT. We first evaluate the performance of a realtime lung tumor tracking technique using DIR between simulated 4DCT and CBCT projections as a means to compensate for respiratory motion. Then we assess the performance of a respiratory signal extraction technique using DIR between consecutive CBCT projections. Finally, we test lower dimensional modeling using principal component analysis (PCA) as a means for 4D thoracic reconstruction and establish a correlation between respiratory modes and PCA eigenvalue decay rate.
Hybrid Deformable Image Registration For Advanced Applications In Image Guided Interventions
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Author : Navid Samavati
language : en
Publisher:
Release Date : 2015
Hybrid Deformable Image Registration For Advanced Applications In Image Guided Interventions written by Navid Samavati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Medical Image Registration
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Author : Joseph V. Hajnal
language : en
Publisher: CRC Press
Release Date : 2001-06-27
Medical Image Registration written by Joseph V. Hajnal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-27 with Medical categories.
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
Deformable Image Registration Methods For Clinical Applications Of Magnetic Resonance Mammography
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Author : Tobias Böhler
language : de
Publisher:
Release Date : 2012
Deformable Image Registration Methods For Clinical Applications Of Magnetic Resonance Mammography written by Tobias Böhler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
High Performance Deformable Image Registration For Medical Applications
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Author : R. Andrew II Benton
language : en
Publisher:
Release Date : 2015
High Performance Deformable Image Registration For Medical Applications written by R. Andrew II Benton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer engineering categories.
Spline based deformation methods are common in medical imaging due to their robustness and accuracy. These methods require a signi cant amount of computation time in order to obtain a sufficiently accurate spatial deformation between two or more image volumes. This work focuses on comparing the thin-plate spline registration technique against the bspline on a variety of hardware architectures. The architectures in question include the common i5/i7 architecture with single and multiple threads, nVidia's CUDA architecture on the GTX760, and Intel's Xeon Phi architecture.
Strategies For Adaptive Radiation Therapy
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Author : Junyi Xia
language : en
Publisher:
Release Date : 2009
Strategies For Adaptive Radiation Therapy written by Junyi Xia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
ABSTRACT: Image guided radiation therapy (IGRT) requires developing advanced methods for target localization. Once target motion is identified, the patient specific treatment margin can be incorporated into the treatment planning, accurately delivering the radiation dose to the target and minimizing the dose to the normal tissues. Deformable image registration (DIR) has become an indispensable tool to analyze target motion and measure physiological change by temporal imaging or time series volumetric imaging, such as four-dimensional computed tomography (4DCT). Current DIR algorithms suffer from inverse inconsistency, where the deformation mapping is not unique after switching the order of the images. Moreover, long computation time of current DIR implementation limits its clinical application to offline analysis. This dissertation makes several major contributions: First, an inverse consistent constraint (ICC) is proposed to constrain the uniqueness of the correspondence between image pairs. The proposed ICC has the advantage of 1) improving registration accuracy and robustness, 2) not requiring explicitly computing the inverse of the deformation field, and 3) reducing the inverse consistency error (ICE). Moreover, a variational registration model, based on the maximum likelihood estimation, is proposed to accelerate the algorithm convergence and allow for inexact image pixel matching within an optimized variation for noisy image pairs.
2 D And 3 D Image Registration
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Author : Arthur Ardeshir Goshtasby
language : en
Publisher: John Wiley & Sons
Release Date : 2005-03-18
2 D And 3 D Image Registration written by Arthur Ardeshir Goshtasby and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-18 with Technology & Engineering categories.
To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.
Diffeomorphic Image Registration With Applications To Deformation Modelling Between Multiple Data Sets
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Author : Bartlomiej Wladyslaw Papiez
language : en
Publisher:
Release Date : 2012
Diffeomorphic Image Registration With Applications To Deformation Modelling Between Multiple Data Sets written by Bartlomiej Wladyslaw Papiez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Over last years, the diffeomorphic image registration algorithms have been successfully introduced into the field of the medical image analysis. At the same time, the particular usability of these techniques, in majority derived from the solid mathematical background, has been only quantitatively explored for the limited applications such as longitudinal studies on treatment quality, or diseases progression. The thesis considers the deformable image registration algorithms, seeking out those that maintain the medical correctness of the estimated dense deformation fields in terms of the preservation of the object and its neighbourhood topology, offer the reasonable computational complexity to satisfy time restrictions coming from the potential applications, and are able to cope with low quality data typically encountered in Adaptive Radiotherapy (ART). The research has led to the main emphasis being laid on the diffeomorphic image registration to achieve one-to-one mapping between images. This involves introduction of the log-domain parameterisation of the deformation field by its approximation via a stationary velocity field. A quantitative and qualitative examination of existing and newly proposed algorithms for pairwise deformable image registration presented in this thesis, shows that the log-Euclidean parameterisation can be successfully utilised in the biomedical applications. Although algorithms utilising the log-domain parameterisation have theoretical justification for maintaining diffeomorphism, in general, the deformation fields produced by them have similar properties as these estimated by classical methods. Having this in mind, the best compromise in terms of the quality of the deformation fields has been found for the consistent image registration framework. The experimental results suggest also that the image registration with the symmetrical warping of the input images outperforms the classical approaches, and simultaneously can be easily introduced to most known algorithms. Furthermore, the log-domain implicit group-wise image registration is proposed. By linking the various sets of images related to the different subjects, the proposed image registration approach establishes a common subject space and between-subject correspondences therein. Although the correspondences between groups of images can be found by performing the classic image registration, the reference image selection (not required in the proposed implementation), may lead to a biased mean image being estimated and the corresponding common subject space not adequate to represent the general properties of the data sets. The approaches to diffeomorphic image registration have been also utilised as the principal elements for estimating the movements of the organs in the pelvic area based on the dense deformation field prediction system driven by the partial information coming from the specific type of the measurements parameterised using the implicit surface representation, and recognising facial expressions where the stationary velocity fields are used as the facial expression descriptors. Both applications have been extensively evaluated based on the real representative data sets of three-dimensional volumes and two-dimensional images, and the obtained results indicate the practical usability of the proposed techniques.
High Performance Deformable Image Registration Algorithms For Manycore Processors
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Author : James Shackleford
language : en
Publisher: Newnes
Release Date : 2013-06-28
High Performance Deformable Image Registration Algorithms For Manycore Processors written by James Shackleford and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-28 with Computers categories.
High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans. Demonstrates how to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms Shows how to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs Provides Programming "tricks" that can help readers develop other image processing algorithms, including registration algorithms for the GPU