Download or read book Reconstruction of Three Dimensional Brain Images from Magnetic Resonance Image Slices written by Juha P. T. Kivitalo and published by . This book was released on 1994 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Three Dimensional Volumetric Modeling of the Internal Brain Structure Using Magnetic Resonance Imaging Slices written by and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conventional cross sections of the brain, provided by magnetic resonance imaging (MRI) scanners, comprise a sparse dataset of 2-D gray-level images, that is neither capable of representing the 3-D nature of the brain, nor differentiating its various component parts in a convenient way. The target of the developed work is to fuse more information from the original MRI cross sections, which leads to building a 3-D computerized color-coded model of the normal human brain. The proposed model is beneficial in many areas like medical training, radiation treatment, 3-D model matching, or volume mensuration of brain component parts. This paper presents a revision of the different methods for building 3-D brain models, along with their advantages and disadvantages. A proposed method for building a 3-D brain model is then introduced. The method consists of three stages: interpolation of the original MRI slices, segmentation of the different brain tissues, and 3-D volumetric reconstruction. The resultant model can be geometrically transformed and arbitrarily dissected. The results are shown throughout the paper. Finally, the conclusions drawn from this work, as well as possible future extensions of the work, are listed.
Download or read book Magnetic Resonance Imaging written by V. Rajinikanth and published by Academic Press. This book was released on 2022-02-15 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI), along with its applications and challenges. The book explores the abnormalities in internal human organs using MRI techniques while also featuring case studies that illustrate measures used. In addition, it explores precautionary measures used during MRI based imaging, the selection of appropriate contrast agents, and the selection of the appropriate modality during the image registration. Sections introduce medical imaging, the use of MRI in brain, cardiac, lung and kidney detection, and also discuss both 2D and 3D imaging techniques and various MRI modalities. This volume will be of interest to researchers, engineers and medical professionals involved in the development and use of MRI systems. - Discusses challenges and issues faced, as well as safety precautions to be followed - Features case studies with benchmark MRIs existing in the literature - Introduces computer-based assessment (Machine Learning and Deep Learning) of the MRI based on its 2D slices
Download or read book Reconstruction of a 3 Dimensional Brain Volume from Fluorescent Images and Its Co Registration with Magnetic Resonance Imaging written by Maik Stille and published by . This book was released on 2015-10-05 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the research of neuronal diseases, a comparison of magnetic resonance imaging (MRI) and histology sections is indispensable. While histology provides information about microscopic structures and chemical composition of brain tissue, in-vivo high-contrast MRI is a powerful tool for detecting pathologic structures in living animals. In clinic practice, the histology-MRI correspondence is often determined visually by experienced neuroscientists. This is a time-consuming and laborious procedure. In this Book an imaging pipeline in described that automatically aligns histology sections to the anatomically corresponding position in the MRI. In order to evaluate the underlying methodology, corresponding anatomical landmarks in MRI and histology were selected by experts. The accuracy achieved by the reconstruction and registration pipeline enables a precise analysis of microstructural features seen in the histology sections and superimposed on the MRI. This in turn is extremely valuable for studying the cellular mechanisms that are responsible for signal changes in MRI.
Download or read book The Human Brain written by Henri M. Duvernoy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serial sections - 2 mm thick - of the cerebral hemispheres and diencephalon in the coronal, sagittal, and horizontal planes. So as to point out the level of the sections more accurately, each is shown from different angles -- emphasising the surrounding hemisphere surfaces. This 3D approach has proven to be extremely useful when apprehending the difficult anatomy of the gyri and sulci of the brain. Certain complex cerebral structures such as the occipital lobe, the deep grey matter and the vascularization are studied here in greater detail. This second edition has been completely revised and updated, 44 serial sections have been added, while old MRI figures have been replaced by newer ones.
Download or read book MRI Atlas of Human White Matter written by Susumu Mori and published by Elsevier. This book was released on 2005-05-11 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in modern imaging techniques that can be used non-invasively for the visualization of the human brain have greatly enhanced the knowledge of brain anatomy and the understanding of its relationship to brain function. A unique new MRI modality, called diffusion tensor imaging (DTI) allows the three-dimensional study of the large white matter (WM) fiber bundles at macroscopic resolution (millimeter scale). MRI Atlas of Human White Matter provides a three-dimensional and two-dimensional in vivo atlas of various white matter tracts in the human brain. The images are based on diffusion tensor imaging and various tracts are reconstructed three-dimensionally from the data. Following an introduction and description of the methodology (Chapters 1 and 2), the 3D anatomy of individual tracts is delineated in Chapter 3. Chapter 4 consists of a series of color-coded orientation maps to delineate white matter anatomy in a slice-by-slice manner, in which the structures are extensively annotated. This richly illustrated Atlas is a valuable resource for students studying white matter anatomy and researchers working in brain research and radiology. This book also provides the structural assignment, which will assist neuroradiologists when interpreting diffusion tensor images in routine clinical studies.* Contains information demonstrating the clear separation of grey matter and white matter structures in the living human brain* 3D white matter tract reconstruction, with extensive 2D panels in all three viewing angles* Comprehensive annotations of white matter structures
Download or read book 3D Imaging in Medicine Second Edition written by Jayaram K. Udupa and published by CRC Press. This book was released on 1999-09-28 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to visualize, non-invasively, human internal organs in their true from and shape has intrigued mankind for centuries. While the recent inventions of medical imaging modalities such as computerized tomography and magnetic resonance imaging have revolutionized radiology, the development of three-dimensional (3D) imaging has brought us closer to the age-old quest of non-invasive visualization. The ability to not only visualize but to manipulate and analyze 3D structures from captured multidimensional image data, is vital to a number of diagnostic and therapeutic applications. 3D Imaging in Medicine, Second Edition, unique in its contents, covers both the technical aspects and the actual medical applications of the process in a single source. The value of this technology is obvious. For example, three dimensional imaging allows a radiologist to accurately target the positioning and dosage of chemotherapy as well as to make more accurate diagnoses by showing more pathology; it allows the vascular surgeon to study the flow of blood through clogged arteries; it allows the orthopedist to find all the pieces of a compound fracture; and, it allows oncologists to perform less invasive biopsies. In fact, one of the most important uses of 3D Imaging is in computer-assisted surgery. For example, in cancer surgery, computer images show the surgeon the extent of the tumor so that only the diseased tissue is removed. In short, 3D imaging provides clinicians with information that saves time and money. 3D Imaging in Medicine, Second Edition provides a ready reference on the fundamental science of 3D imaging and its medical applications. The chapters have been written by experts in the field, and the technical aspects are covered in a tutorial fashion, describing the basic principles and algorithms in an easily understandable way. The application areas covered include: surgical planning, neuro-surgery, orthopedics, prosthesis design, brain imaging, analysis of cardio-pulmonary structures, and the assessment of clinical efficacy. The book is designed to provide a quick and systematic understanding of the principles of biomedical visualization to students, scientists and researchers, and to act as a source of information to medical practitioners on a wide variety of clinical applications of 3D imaging.
Download or read book Inter slice Compression and Reconstruction of Glioma Magnetic Resonance Imaging MRI Data Using Encoder decoder Neural Networks written by Gavin Michael Karr and published by . This book was released on 2020 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic Resonance Imaging (MRI) scans of patients with brain tumors are an important source of pre-surgical medical information. These three-dimensional image volumes can be represented as a stack of two-dimensional image slices. The objective of this thesis is to compress the size of these image volumes by removing the odd-numbered slices and reconstruct the image volume using an encoder-decoder convolutional neural network. This neural network architecture is based on a modified form of the U-net segmentation network, which has been adjusted to allow for multiple image inputs and to support a network capable of generating new image slices. A novel method of performing slice interpolation is introduced in which the image features extracted by the neural network are averaged at each network layer to form the intermediary slice from the two input slices. The MRI volume reconstruction performed by the encoder-decoder neural network is compared against linear interpolation of the image slices, and the metric used is the peak signalto-noise-ratio. The reconstruction of the volume by the neural network slightly underperforms the linear interpolation baseline due to both methods being close to optimal in performance. Overall, the reconstruction quality of both methods is high since the initial slice distance causes ii little variation between adjacent slices. This thesis concludes that the neural network method of compression and reconstruction has potential in cases where inter-slice resolution is initially poor, such as at 4 millimeters and higher, while linear interpolation is sufficient at resolutions below 4 millimeters.
Download or read book Mapping the connectome Multi level analysis of brain connectivity written by Trygve B. Leergaard and published by Frontiers E-books. This book was released on with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Robust and Efficient Framework for Slice to volume Reconstruction written by Junshen Xu and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumetric reconstruction in presence of motion is a challenging problem in medical imaging. When imaging moving targets, many modalities are limited to fast 2D imaging techniques that provide cross-sectional snapshots (2D images) of the subject with an attempt to "freeze'' in-plane motion. However, inter-slice movement results in slice misalignment in 3D space, i.e., each image being an independent slice that fails to form a coherent volume for diagnosis and analysis. To this end, slice-to-volume reconstruction (SVR) has been proposed to reconstruct a high-quality 3D volume from misaligned 2D observations by performing inter-slice motion correction and super-resolution reconstruction. Existing SVR algorithms, however, have a limited capture range of slice motion and are time-consuming, particularly when producing high-resolution volumes. This thesis proposes a motion-robust and efficient machine learning framework for SVR, motivated by the application of magnetic resonance imaging (MRI) in assessing fetal brain development. We first introduce a slice-to-volume registration transformer that models input slices as a sequence and performs inter-slice motion correction by simultaneously predicting rigid transformations of all images in 3D space. We then reformulate the reconstruction problem using implicit neural representation, where the underlying volume is represented by a continuous function of 3D coordinates. This resolution-agnostic approach allows efficient reconstruction of high-resolution volumes. Finally, we extend this method to data that suffer from non-rigid motion by introducing an implicit motion field that captures slice-dependent deformation. These advances together enable robust and efficient 3D reconstruction and visualization in fetal MRI, benefiting diagnosis and downstream analysis. Additionally, the proposed framework has the potential for broader clinical implications in various applications that involve similar volumetric reconstruction problems.
Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book The Human Brain written by Henri M. Duvernoy and published by Springer. This book was released on 1991-01-01 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Magnetic Resonance Imaging written by Nicole Seiberlich and published by Academic Press. This book was released on 2020-11-18 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
Download or read book Medical Imaging Systems written by Andreas Maier and published by Springer. This book was released on 2018-08-02 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.
Download or read book Magnetic Resonance Elastography written by Sudhakar K. Venkatesh and published by Springer. This book was released on 2014-10-01 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to cover the groundbreaking development and clinical applications of Magnetic Resonance Elastography, this book is essential for all practitioners interested in this revolutionary diagnostic modality. The book is divided into three sections. The first covers the history of MRE. The second covers technique and clinical applications of MRE in the liver with respect to fibrosis, liver masses, and other diseases. Case descriptions are presented to give the reader a hands-on approach. The final section presents the techniques, sequence and preliminary results of applications in other areas of the body including muscle, brain, lung, heart, and breast.
Download or read book Trends in Cerebrovascular Surgery written by Tetsuya Tsukahara and published by Springer. This book was released on 2016-09-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of new concepts in neurovascular interventions based on clinical and scientific knowledge of cerebrovascular disorders. It especially focuses on subarachnoid hemorrhage and cerebrovascular malformations, e.g. aneurysms, arterio-venous malformations, and cavernomas. A separate part addresses cerebral revascularization for both complex aneurysms and ischemia. All contributions were written by recognized experts and cover original papers presented at the 7th European Japanese Stroke Surgery Conference, held in Verona, Italy in June 2014. The authors present new trends and strategies for managing emerging problems, as well as in-depth discussions on controversial issues in the field.
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2016 written by Sebastien Ourselin and published by Springer. This book was released on 2016-10-17 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
