Software Tools for the Analysis of Functional Magnetic Resonance Imaging
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Accurate Segmentation of Brain MR Images
Accurate segmentation of brain MR images Master of Science Thesis in Biomedical Engineering ANTONIO REYES PORRAS PÉREZ Department of Signals and Systems Division of Biomedical Engineering CHALMERS UNIVERSITY OF TECHNOLOGY Göteborg, Sweden, 2010 Report No. EX028/2010 Abstract Full brain segmentation has been of significant interest throughout the years. Recently, many research groups worldwide have been looking into development of patient-specific electromagnetic models for dipole source location in EEG. To obtain this model, accurate segmentation of various tissues and sub-cortical structures is thus required. In this project, the performance of three of the most widely used software packages for brain segmentation has been analyzed: FSL, SPM and FreeSurfer. For the analysis, real images from a patient and a set of phantom images have been used in order to evaluate the performance r of each one of these tools. Keywords: dipole source location, brain, patient-specific model, image segmentation, FSL, SPM, FreeSurfer. Acknowledgements To my advisor, Antony, for his guidance through the project. To my partner, Koushyar, for all the days we have spent in the hospital helping each other. To the staff in Sahlgrenska hospital for their collaboration. To MedTech West for this opportunity to learn. Table of contents 1. Introduction ......................................................................................................................................... 1 2. Magnetic resonance imaging .............................................................................................................. -
The Medical Practice Impact of Functional Neuroimaging Studies in Disorders of Consciousness
The Medical Practice Impact of Functional Neuroimaging Studies in Disorders of Consciousness Fundacio Grífols • Conferències Josep Egozcue Barcelona • November 15, 2016 James L. Bernat, M.D. Louis and Ruth Frank Professor of Neuroscience Professor of Neurology and Medicine Geisel School of Medicine at Dartmouth Hanover, New Hampshire USA Overview • Review of disorders of consciousness • Case reports highlighting “covert cognition” • Diagnosis and prognosis • Communication • Medical decision-making • Treatment • Future directions Disorders of Consciousness • Coma • Vegetative state (VS) • Minimally conscious state (MCS) • Brain death • Locked-in syndrome (LIS) – Not a DoC but may be mistaken for one Giacino JT et al. Nat Rev Neurol 2014;10:99-114 VS: Criteria I • Unawareness of self and environment • No sustained, reproducible, or purposeful voluntary behavioral response to visual, auditory, tactile, or noxious stimuli • No language comprehension or expression Multisociety Task Force. N Engl J Med 1994;330:1499-1508, 1572-1579 VS: Criteria II • Present sleep-wake cycles • Preserved autonomic and hypothalamic function to survive for long intervals with medical/nursing care • Preserved cranial nerve reflexes Multisociety Task Force. N Engl J Med 1994;330:1499-1508, 1572-1579 VS: Behavioral Repertoire • Sleep, wake, yawn, breathe • Blink and move eyes but no sustained visual pursuit • Make sounds but no words • Variable respond to visual threat • Grimacing; chewing movements • Move limbs; startle myoclonus Bernat JL. Lancet 2006;367:1181-1192 VS: Diagnosis • Fulfill “negative” diagnostic criteria • Exam: Coma Recovery Scale – Revised • Have patient gaze at self in hand mirror • Interview nurses and caregivers • False-positive rates of 40% • Consider minimally conscious state Schnakers C et al. -
1 Structural and Functional Alterations in the Brain Gray Matter
Structural and functional alterations in the brain gray matter among first-degree relatives of schizophrenia patients: a multimodal meta-analysis of fMRI and VBM studies Running title: Familial risk for schizophrenia and alterations in the brain Aino I. L. Saarinen, PhD1,2,3,*, Sanna Huhtaniska, MD, PhD4, Juho Pudas, MB3, Lassi Björnholm, MD3, Tuomas Jukuri, MD, PhD3, Jussi Tohka, MD, PhD5, Niklas Granö, PhD6, Jennifer H. Barnett, PhD7,8, Vesa Kiviniemi, MD, PhD9,10, Juha Veijola, MD, PhD3,10,11, Mirka Hintsanen, PhD1, Johannes Lieslehto, MD, PhD 12 1 Research Unit of Psychology, University of Oulu, Finland 2 Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland 3 Research Unit of Clinical Neuroscience, Department of Psychiatry, University of Oulu, Finland 4 Center for Life Course Health Research, University of Oulu, Finland 5 A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland 6 Helsinki University Hospital, Department of Adolescent Psychiatry, Finland 7 Cambridge Cognition, Cambridge, UK 8 Department of Psychiatry, University of Cambridge, Cambridge, UK 9 Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland 10 Department of Psychiatry, Oulu University Hospital, Oulu, Finland 11 Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland 12 Section for Neurodiagnostic Applications, Department of Psychiatry, Ludwig Maximilian University, Nussbaumstrasse 7, 80336 Munich, Bavaria, * Corresponding author: Aino Saarinen. Department of Psychology and Logopedics, Faculty of Medicine, Haartmaninkatu 3, P.O. Box 21, 00014 University of Helsinki, Finland. E-mail: [email protected], Tel.: +35844 307 1204. 1 Abstract Objective: Schizophrenia has one of the highest heritability estimates in psychiatry, but the genetically- based underlying neuropathology has mainly remained unclear. -
Simultaneous PET/MRI for Connectivity Mapping: Quantitative Methods in Clinical Setting
UNIVERSITY OF PADOVA Department of Information Engineering Ph.D. School on Information Engineering Curriculum: Bioengineering - Cycle: XXX Simultaneous PET/MRI for Connectivity Mapping: Quantitative Methods in Clinical Setting Headmaster of the School: Prof. Andrea NEVIANI Supervisor: Prof. Alessandra BERTOLDO PhD. Candidate: Eng. Erica SILVESTRI 2018 iii University of Padova Abstract Ph.D. School on Information Engineering Simultaneous PET/MRI for Connectivity Mapping: Quantitative Methods in Clinical Setting by Eng. Erica SILVESTRI In recent years, the study of brain connectivity has received growing inter- est from neuroscience field, from a point of view both of analysis of patho- logical condition and of a healthy brain. Hybrid PET/MRI scanners are promising tools to study this complex phenomenon. This thesis presents a general framework for the acquisition and analysis of simultaneous multi- modal PET/MRI imaging data to study brain connectivity in a clinical set- ting. Several aspects are faced ranging from the planning of an acquisition protocol consistent with clinical constraint to the off-line PET image recon- struction, from the selection and implementation of methods for quantifying the acquired data to the development of methodologies to combine the com- plementary informations obtained with the two modalities. The developed analysis framework was applied to two different studies, a first conducted on patients affected by Parkinson’s Disease and dementia, and a second one on high grade gliomas, as proof of concept evaluation that the pipeline can be extended in clinical settings. v Università degli Studi di Padova Sommario Scuola di Dottorato in Ingegneria dell’Informazione Acquisizioni simultanee PET/MR per lo studio della connettività: metodi quantitativi in ambito clinico di Ing. -
Statistical Parametric Mapping (Spm): Theory, Software and Future Directions
STATISTICAL PARAMETRIC MAPPING (SPM): THEORY, SOFTWARE AND FUTURE DIRECTIONS 1 Todd C Pataky, 2Jos Vanrenterghem and 3Mark Robinson 1Shinshu University, Japan 2Katholieke Universiteit Leuven, Belgium 3Liverpool John Moores University, UK Corresponding author email: [email protected]. DESCRIPTION Table 1: Many types of biomechanical data are mDnD, but Overview— Statistical Parametric Mapping (SPM) [1] was most statistical tests in the literature are 1D0D: t tests, developed in Neuroimaging in the mid 1990s [2], primarily regression and ANOVA, and based on the relatively simple for the analysis of 3D fMRI and PET images, and has Gaussian distribution, despite nearly a century of theoretical recently appeared in Biomechanics for a variety of development in mD0D and mDnD statistics. applications with dataset types ranging from kinematic and force trajectories [3] to plantar pressure distributions [4] 0D data 1D data (Fig.1) and cortical bone thickness fields [5]. Scalar Vector Scalar Vector 1D0D mD0D 1D1D mD1D SPM’s fundamental observation unit is the “mDnD” Multivariate Random Field Theory Gaussian continuum, where m and n are the dimensionalities of the Gaussian Theory observed variable and spatiotemporal domain, respectively, T tests T2 tests making it ideally suited for a variety of biomechanical Applied Regression CCA SPM applications including: ANOVA MANOVA • (m=1, n=1) Joint flexion trajectories • (m=3, n=1) Three-component force trajectories • (m=1, n=2) Contact pressure distributions The purposes of this workshop are: • (m=6, n=3) Bone strain tensor fields. 1. To review SPM’s historical context. SPM handles all data types in a single, consistent statistical 2. To demonstrate how SPM generalizes common tests framework, generalizing to arbitrary data dimensionalities (including t tests, regression and ANOVA) to the and geometries through Eulerian topology. -
Freesurfer Tutorial
FreeSurfer Tutorial FreeSurfer is brought to you by the Martinos Center for Biomedical Imaging supported by NCRR/P41RR14075, Massachusetts General Hospital, Boston, MA USA 2008-06-01 20:47 1 FreeSurfer Tutorial Table of Contents Section Page Overview and course outline 3 Inspection of Freesurfer output 5 Troubleshooting your output 22 Fixing a bad skull strip 26 Making edits to the white matter 34 Correcting pial surfaces 46 Using control points to fix intensity normalization 50 Talairach registration 55 recon-all: morphometry and reconstruction 69 recon-all: process flow table 97 QDEC Group analysis 100 Group analysis: average subject, design matrix, mri_glmfit 125 Group analysis: visualization and inspection 149 Integrating FreeSurfer and FSL's FEAT 159 Exercise overview 172 Tkmedit reference 176 Tksurfer reference 211 Glossary 227 References 229 Acknowledgments 238 2008-06-01 20:47 2 top FreeSurfer Slides 1. Introduction to Freesurfer - Bruce Fischl 2. Anatomical Analysis with Freesurfer - Doug Greve 3. Surface-based Group Analysis - Doug Greve 4. Applying FreeSurfer Tools to FSL fMRI Analysis - Doug Greve FreeSurfer Tutorial Overview The FreeSurfer tools deal with two main types of data: volumetric data volumes of voxels and surface data polygons that tile a surface. This tutorial should familiarize you with FreeSurfer’s volume and surface processing streams, the recommended workflow to execute these, and many of their component tools. The tutorial also describes some of FreeSurfer's tools for registering volumetric datasets, performing group analysis on morphology data, and integrating FSL Feat output with FreeSurfer overlaying color coded parametric maps onto the cortical surface and visualizing plotted results. -
Brain Imaging Technologies
Updated July 2019 By Carolyn H. Asbury, Ph.D., Dana Foundation Senior Consultant, and John A. Detre, M.D., Professor of Neurology and Radiology, University of Pennsylvania With appreciation to Ulrich von Andrian, M.D., Ph.D., and Michael L. Dustin, Ph.D., for their expert guidance on cellular and molecular imaging in the initial version; to Dana Grantee Investigators for their contributions to this update, and to Celina Sooksatan for monograph preparation. Cover image by Tamily Weissman; Livet et al., Nature 2017 . Table of Contents Section I: Introduction to Clinical and Research Uses..............................................................................................1 • Imaging’s Evolution Using Early Structural Imaging Techniques: X-ray, Angiography, Computer Assisted Tomography and Ultrasound..............................................2 • Magnetic Resonance Imaging.............................................................................................................4 • Physiological and Molecular Imaging: Positron Emission Tomography and Single Photon Emission Computed Tomography...................6 • Functional MRI.....................................................................................................................................7 • Resting-State Functional Connectivity MRI.........................................................................................8 • Arterial Spin Labeled Perfusion MRI...................................................................................................8 -
Confrontsred Tape
IPS: THE MENTAL HEALTH SERVICES CONFERENCE Oct. 8-11, 2015 • New York City When Good Care Confronts Red Tape Navigating the System for Our Patients and Our Practice New York, NY | Sheraton New York Times Square POSTER SESSION OCTOBER 09, 2015 POSTER SESSION 1 P1- 1 ANGIOEDEMA DUE TO POTENTIATING EFFECTS OF RITONIVIR ON RISPERIDONE: CASE REPORT Lead Author: Luisa S. Gonzalez, M.D. Co-Author(s): David A. Kasle MSIII Kavita Kothari M.D. SUMMARY: For many drugs, the liver is the principal site of its metabolism. The most important enzyme system of phase I metabolism is the cytochrome P-450 (CYP450). Ritonavir, a protease inhibitor used for the treatment of human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS), has been shown to be a potent inhibitor of the (CYP450) 3A and 2D6 isozymes. This inhibition increases the chance for potential drug-drug interactions with compounds that are metabolized by these isoforms. Risperidone, a second generation atypical antipsychotic, is metabolized to a significant extent by the (CYP450) 2D6, and to a lesser extent 3A4. Ritonavir and risperidone can both cause serious, and even life threatening, side effects. An example of one such rare side effect is angioedema which is characterized by edema of the deep dermal and subcutaneous tissues. Here we present three cases of patients residing in a nursing home setting, diagnosed with HIV/AIDS and comorbid psychiatric illness. These patients were all on antiretroviral medications such as ritonavir, and all later presented with varying degrees of edema after long term use of risperidone. We aim to bring to awareness the potential for ritonavir inhibiting the metabolism of risperidone, thus leading to an increased incidence of angioedema in these patients. -
Downloaded from the Cellprofiler Site [31] to Provide a Starting Point for New Analyses
Open Access Software2006CarpenteretVolume al. 7, Issue 10, Article R100 CellProfiler: image analysis software for identifying and quantifying comment cell phenotypes Anne E Carpenter*, Thouis R Jones*†, Michael R Lamprecht*, Colin Clarke*†, In Han Kang†, Ola Friman‡, David A Guertin*, Joo Han Chang*, Robert A Lindquist*, Jason Moffat*, Polina Golland† and David M Sabatini*§ reviews Addresses: *Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. †Computer Sciences and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. ‡Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA. §Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. Correspondence: David M Sabatini. Email: [email protected] Published: 31 October 2006 Received: 15 September 2006 Accepted: 31 October 2006 reports Genome Biology 2006, 7:R100 (doi:10.1186/gb-2006-7-10-r100) The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2006/7/10/R100 © 2006 Carpenter et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. deposited research Cell<p>CellProfiler, image analysis the software first free, open-source system for flexible and high-throughput cell image analysis is described.</p> Abstract Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, research refereed CellProfiler. -
Functional Neuroimaging of Disorders of Consciousness
Functional Neuroimaging of Disorders of Consciousness Martin R. Coleman, PhD* Adrian M. Owen, PhD*w Wolfson Brain Imaging Centre, Addenbrookes Hospital MRC Cognition and Brain Sciences Unit An accurate and reliable evaluation of the level and content of cognitive processing is of paramount importance for the appropriate management of severely brain-damaged patients with disorders of consciousness.1 Objective behavioral assessment of residual cognitive function can be extremely challenging in these patients, as motor responses may be minimal, inconsistent, and difficult to document, or may be undetectable because no cognitive output is possible. This difficulty leads to much confusion and a high-level of misdiagnoses in the vegetative state (VS), minimally conscious state, and locked-in syndrome.2,3 Recent advances in functional neuroimaging suggest a novel solution to this problem; so-called ‘‘activation’’ studies can be used to assess cognitive functions in altered states of consciousness without the need for any overt response on the part of the patient. In several recent studies, this approach has been used to detect residual cognitive function and even conscious awareness in patients who behaviorally meet the criteria defining the VS.4–6 Similarly, these techniques have been used in other studies to guide therapeutic interventions and track recovery processes.7,8 Such studies suggest that the future integration of emerging functional neuroimaging techniques with existing clinical and behavioral methods of assessment will be essential in reducing the current rate of misdiagnosis. Moreover, such FROM THE *CAMBRIDGE IMPAIRED CONSCIOUSNESS RESEARCH GROUP,WOLFSON BRAIN IMAGING CENTRE, ADDENBROOKES HOSPITAL AND THE wMRC COGNITION AND BRAIN SCIENCES UNIT REPRINTS:MARTIN R. -
Survey of Databases Used in Image Processing and Their Applications
International Journal of Scientific & Engineering Research Volume 2, Issue 10, Oct-2011 1 ISSN 2229-5518 Survey of Databases Used in Image Processing and Their Applications Shubhpreet Kaur, Gagandeep Jindal Abstract- This paper gives review of Medical image database (MIDB) systems which have been developed in the past few years for research for medical fraternity and students. In this paper, I have surveyed all available medical image databases relevant for research and their use. Keywords: Image database, Medical Image Database System. —————————— —————————— 1. INTRODUCTION Measurement and recording techniques, such as electroencephalography, magnetoencephalography Medical imaging is the technique and process used to (MEG), Electrocardiography (EKG) and others, can create images of the human for clinical purposes be seen as forms of medical imaging. Image Analysis (medical procedures seeking to reveal, diagnose or is done to ensure database consistency and reliable examine disease) or medical science. As a discipline, image processing. it is part of biological imaging and incorporates radiology, nuclear medicine, investigative Open source software for medical image analysis radiological sciences, endoscopy, (medical) Several open source software packages are available thermography, medical photography and for performing analysis of medical images: microscopy. ImageJ 3D Slicer ITK Shubhpreet Kaur is currently pursuing masters degree OsiriX program in Computer Science and engineering in GemIdent Chandigarh Engineering College, Mohali, India. E-mail: MicroDicom [email protected] FreeSurfer Gagandeep Jindal is currently assistant processor in 1.1 Images used in Medical Research department Computer Science and Engineering in Here is the description of various modalities that are Chandigarh Engineering College, Mohali, India. E-mail: used for the purpose of research by medical and [email protected] engineering students as well as doctors.