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 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 Cumulated Index Medicus written by and published by . This book was released on 1990 with total page 1246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the International School on Magnetic Resonance and Brain Function XIII Workshop written by Itamar Ronen and published by Frontiers Media SA. This book was released on 2021-08-19 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Registration of Histology and Magnetic Resonance Imaging of the Brain written by Jonas Pichat and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining histology and non-invasive imaging has been attracting the attention of the medical imaging community for a long time, due to its potential to correlate macroscopic information with the underlying microscopic properties of tissues. Histology is an invasive procedure that disrupts the spatial arrangement of the tissue components but enables visualisation and characterisation at a cellular level. In contrast, macroscopic imaging allows non-invasive acquisition of volumetric information but does not provide any microscopic details. Through the establishment of spatial correspondences obtained via image registration, it is possible to compare micro- and macroscopic information and to recover the original histological arrangement in three dimensions. In this thesis, I present: (i) a survey of the literature relative to methods for histology reconstruction with and without the help of 3D medical imaging; (ii) a graph-theoretic method for histology volume reconstruction from sets of 2D sections, without external information; (iii) a method for multimodal 2D linear registration between histology and MRI based on partial matching of shape-informative boundaries.

Download or read book Index Medicus written by and published by . This book was released on 2004 with total page 2160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.

Download or read book Electrical Electronics Abstracts written by and published by . This book was released on 1997 with total page 2304 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 Computational Methods for Three Dimensional Microscopy Reconstruction written by Gabor T. Herman and published by Springer Science & Business Media. This book was released on 2014-01-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.

Download or read book Computer Control Abstracts written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fluorescence Molecular Tomography written by Stephen Joseph Shamp and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: Medical imaging is critical for the detection and diagnosis of disease, guided biopsies, assessment of therapies, and administration of treatment. While computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and ultra-sound (US) are the more familiar modalities, interest in yet other modalities continues to grow. Among the motivations are reduction of cost, avoidance of ionizing radiation, and the search for new information, including biochemical and molecular processes. Fluorescence Molecular Tomography (FMT) is one such emerging technique and, like other techniques, has its advantages and limitations. FMT can reconstruct the distribution of fluorescent molecules in vivo using near-infrared radiation or visible band light to illuminate the subject. FMT is very safe since non-ionizing radiation is used, and inexpensive due to the comparatively low cost of the imaging system. This should make it particularly well suited for small animal studies for research. A broad range of cell activity can be identified by FMT, making it a potentially valuable tool for cancer screening, drug discovery and gene therapy. Since FMT imaging is scattering dominated, reconstruction of volume images is significantly more computationally intensive than for CT. For instance, to reconstruct a 32x32x32 image, a flattened matrix with approximately 1010, or 10 billion, elements must be dealt with in the inverse problem, while requiring more than 100 GB of memory. To reduce the error introduced by noisy measurements, significantly more measurements are needed, leading to a proportionally larger matrix. The computational complexity of reconstructing FMT images, along with inaccuracies in photon propagation models, has heretofore limited the resolution and accuracy of FMT. To surmount the problems stated above, we decompose the forward problem into a Khatri-Rao product. Inversion of this model is shown to lead to a novel reconstruction method that significantly reduces the computational complexity and memory requirements for overdetermined datasets. Compared to the well known SVD approach, this new reconstruction method decreases computation time by a factor of up to 25, while simultaneously reducing the memory requirement by up to three orders of magnitude. Using this method, we have reconstructed images up to 32x32x32. Also outlined is a two step approach which would enable imaging larger volumes. However, it remains a topic for future research. In achieving the above, the author studied the physics of FMT, developed an extensive set of original computer programs, performed COMSOL simulations on photon diffusion, and unavoidably, developed visual displays.

Download or read book MRI Images Segmentation and 3D Reconstruction for Cerebral Cancer Detection written by Nadia Smaoui Zghal and published by . This book was released on 2018 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a dense and an abnormal rapid multiplication (proliferation) of cells in the tissues of the human body. The brain tumor is one of the most dangerous and deadly tumors. Fortunately, the evolution of science has allowed us to create very efficient medical imaging techniques in order to discover this type of cancer. Chief among these techniques is magnetic resonance imaging (MRI) which is a very efficient technique compared to ultrasound. In this work, we are interested in the detection of this type of cancer allowing a three-dimensional (3D) reconstruction of MRI images. The segmentation methods used are based primarily on the Fuzzy C-Means algorithm that classifies and isolates parts of the brain tissue, and secondly on Distance Regularized Level Set Evolution technique for tumor detection. The obtained results show the effectiveness of this approach to detect brain tumor. The 3D reconstruction is finally carried out to better visualize the tumor as a whole and to detect its expansion. It is conducted using an indirect volume rendering method, which is the Marching Cubes algorithm.

Download or read book 3D Reconstruction from Multiple Images written by Theo Moons and published by Now Publishers Inc. This book was released on 2009-10-23 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.

Download or read book MRI Based Brain specific 3D printed Model Aligned to Stereotactic Space to Facilitate Registration of Histology to MRI Data written by Sethu Kovendhan Boopathy Jegathambal and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Studies that seek to predict the brain's microstructure through magnetic resonance images (MRI) require precise alignment of images of processed brain histology slices to the corresponding 3D MRI data, for the purpose of comparisons to ground truth histology data. However, achieving such alignment is a challenging problem, due to tissue distortions and the different contrasts seen in MRI and the processed tissue. Previous studies proposed to create an MRI-based 3D-printed concave model with the impression of the specific brain, in order to hold the brain and guide the blades while sectioning thick slabs of the tissue (Luciano et al. 2016). Holding the brain in such a 3D-printed model while sectioning the tissue coarsely aligns the sectioned brain to the MRI data by default. This can assist in aligning the processed tissue images to the MRI volume.In this work, we replicate the development proposed by Luciano et al. 2016. Then, we build on this development, and introduce two main improvements. Firstly, we propose to align the ex-vivo MRI of the brain tissue to an existing MRI template before creating the 3D-printed sectioning model. Such alignment to an MRI stereotactic template makes it possible to section the brain and eventually thin histology slices in an orientation which is approximately parallel to the main stereotactic axes of the MRI template. This facilitates comparison of the newly obtained histology slices to previously created histology atlases, while maintaining the high-resolution parallel to the standard stereotactic plane in both the newly obtained histology images and the atlas' histology images. Secondly, we propose to use an anatomical atlas with cortical and subcortical areal labels for guiding the planning and placement of cuts in the 3D-printed sectioning model. Incorporating the labels is achieved by registering the species-specific anatomical brain atlas to the ex-vivo brain MRIxiiafter the latter was already aligned to an MRI template. Guiding the positioning of the grooves according to anatomical information from the co-registered atlas facilitates region-specific histology. Finally, we present an interactive software pipeline to create an ex-vivo MRI-based 3D-printed sectioning model with our proposed improvements. Specifically, we segment the volume of the brain from ex-vivo MRI data, align the MRI data obtained in the native space to an MRI stereotactic template and create a 3D printed model that precisely fits the brain. The pipeline then makes it possible to create grooves in the 3D model, for guiding blades for cutting slabs of tissue. The pipeline we introduce can be used to create brain-specific sectioning models for a variety of species, including humans, primates, and rodents. In addition to facilitating alignment of histology volumes to their corresponding MRI volumes, the pipeline can be easily integrated to the workflow of histology and histopathology laboratories, for using 3D printed models for MRI-guided tissue sectioning." --

Download or read book Advances in Photometric 3D Reconstruction written by Jean-Denis Durou and published by Springer Nature. This book was released on 2020-09-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.

Download or read book Abstracts of the Annual Meeting of the European Neuroscience Association written by European Neuroscience Association. Meeting and published by . This book was released on 1990 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multimodal Brain Image Analysis written by Li Shen and published by Springer. This book was released on 2013-08-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.