Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC.

Slides:



Advertisements
Similar presentations
Imaging Methods: Gait, Cognition and Mood Richard Camicioli MD University of Alberta Edmonton, Alberta
Advertisements

Neuroradiology Natasha Wehrli, MS4 University of Pennsylvania School of Medicine.
Advancing Care for Intrepid Fallen Heroes COSC Conference - San Diego 20 May 2010.
Neuroradiology Dr Mohamed El Safwany, MD. Intended Learning Outcomes  The student should be able to understand role of medical imaging in the evaluation.
Office of Public Health & Environmental Hazards RETURNING VETERANS WITH HEALTH CONCERNS AND EMERGING PROBLEMS War Related Illness & Injury Study Center.
National Alliance for Medical Image Computing Core DBP Dartmouth Data NA-MIC National Alliance for Medical Image Computing
Neuroimaging Processing : Overview, Limitations, pitfalls, etc. etc.
Improving The Clinical Care of Children and Adolescents With Mild Traumatic Brain Injury Madeline Joseph, MD, FACEP, FAAP Professor of Emergency Medicine.
Child Health Disparities Denice Cora-Bramble, MD, MBA Professor of Pediatrics, George Washington University Executive Director Goldberg Center for Community.
16 November 2004Biomedical Imaging BMEN Biomedical Imaging of the Future Alvin T. Yeh Department of Biomedical Engineering Texas A&M University.
Introducing The War Related Illness and Injury Study Center US Department of Veterans Affairs VA Palo Alto Healthcare System Office of Public Health and.
Office of Public Health Ansgar Furst, Ph.D. Director of Neuroimaging Laboratory, WRIISC VA Palo Alto, CA Clinical Assistant Professor (Affiliated) of Psychiatry.
The structural organization of the Brain Gray matter: nerve cell bodies (neurons), glial cells, capillaries, and short nerve cell extensions (axons and.
CT Scans (CAT Scans) CT scanning or (CAT scanning) is using X-rays to create a 3D image of the inside of an object. CT stands for computed tomography.
Screening By building screening for symptoms of VCI into regular workflows or practice, health care providers are participating in Taking Action to address.
ETIM-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Mobile Computing to Impact Patient Health and Data Exchange and Statistical Analysis Presenter:
Office of Public Health & Environmental Hazards The War Related Illness and Injury Study Center (WRIISC) Susan L. Santos, PhD, M.S. Assistant Director,
Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center Washington, DC.
The Nature of Disease.
Public Health Systems Research: What We Know and Need to Learn Glen P. Mays, PhD, MPH Department of Health Policy & Management UAMS College of Public Health.
-1- Pujol S et al. National Alliance for Medical Image Computing 3D Visualization of FreeSurfer Data Sonia Pujol, Ph.D. Silas Mann, B.Sc. Randy Gollub,
MEASURING IMPAIRMENT: VALIDATED TEST METHODS FOR ASSESSING SEDATING MEDICATIONS Gary G. Kay, Ph.D. Associate Clinical Professor of Neurology Director,
Quantitative Brain Structure Analysis on MR Images
Department of Veterans Affairs
Neuroimaging Methods: Visualising the brain & its injuries Structural (brain structure) –X-rays –CT (Computer Tomography) –MRI (Magnetic Resonance Imaging)
DTU Medical Visionday May 27, 2009 Generative models for automated brain MRI segmentation Koen Van Leemput Athinoula A. Martinos Center for Biomedical.
Dr. Jones University of Arkansas.  Disease  Pathology  Etiology.
Functional imaging in chronic pain
Methods and Tools for Studying the Brain. Early Methods Lobotomies and Shock Therapy …………
DIAGNOSTIC SERVICES What They Do * Perform tests or evaluations that aid in the detection, diagnosis, and treatment of disease, injury or other physical.
Measuring Technical Progress and Potential Impact in Real Time Presented at the American Evaluation Association Conference 2009 by Jerald Hage, Wilbur.
Office of Public Health & Environmental Hazards RETURNING VETERANS WITH HEALTH CONCERNS AND EMERGING PROBLEMS War Related Illness & Injury Study Center.
HOW CAN NEUROIMAGING HELP UNDERSTAND, DIAGNOSE, AND DEVELOP TREATMENTS FOR ALZHEIMER'S DISEASE? Part C – AD brain scans - anatomical NUCLEAR MEDICINE GRAND.
Introduction to Healthcare and Public Health in the US Delivering Healthcare (Part 2) Lecture d This material (Comp1_Unit3d) was developed by Oregon Health.
References: [1]S.M. Smith et al. (2004) Advances in functional and structural MR image analysis and implementation in FSL. Neuroimage 23: [2]S.M.
All Hands Meeting 2005 Morphometry BIRN - Overview - Scientific Achievements.
TATRC Programs in Image-Guided Therapy Dr. Anthony Pacifico Portfolio Manager, Medical Imaging Technologies Telemedicine & Advanced Technology Research.
WPA Neuroimaging. WPA Basic Principles of Brain Imaging Some technique is used to measure a signal in the brain (e.g., the degree to which an xray beam.
Medical Image SBIA.UPenn Christos Davatzikos Director, Section of Biomedical Image Analysis Professor, Radiology,
Oregon Health & Science University and Northwest PADRECC
PharmaCog WP5 / E-ADNI. Enrollment and follow-ups Clinical sites Maximum Minimum PATIENTS EXPECTED.
The many facets of brain aging as assessed by mri (and Freesurfer)
Automatic pipeline for quantitative brain tissue segmentation and parcellation: Experience with a large longitudinal schizophrenia MRI study 1,2 G Gerig,
The Alzheimer’s Disease Challenge: Take Your Knowledge Further ALZHEIMER’S DISEASE AND ITS MANAGEMENT: AN OVERVIEW.
References [1] Coupé et al., An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE TMI, 27(4):425–441, 2008.
White Matter Structural Integrity in Healthy Aging Adults and Patients With Alzheimer Disease: A Magnetic Resonance Imaging Study Bartzokis, et al. UCLA.
Clinical Research Informatics [CRI]. Informatics, defined generally as the intersection of information and computer science with a health-related discipline,
Screening. By building screening for symptoms of VCI into regular workflows or practice, health care providers are participating in Taking Action to address.
Structural and Functional Neuroimaging in the Diagnosis of Dementia John M. Ringman, M.D. Assistant Professor UCLA Department of Neurology.
Comparison of Risk Factors for Early-Onset versus Late-Onset Alzheimer Disease OBJECTIVE To compare early-onset (before 65) Alzheimer disease (AD) patients.
INFLUENCE OF FRACTIONAL ANISOTROPY THRESHOLD FOR TRACT BASED DIFFUSION TENSOR ANALYSIS OF UNCINATE FASCICLES IN ALZHEIMER DISEASE Toshiaki Taoka, Toshiaki.
Vipin Kumar Regents Professor and William Norris Chair in Large Scale Computing Research interests – Data mining, – high-performance computing, and – their.
TITIN ANDRI WIHASTUTI SCHOOL OF NURSING FACULTY OF MEDICINE
Microstructural Change and Cognitive Alteration in Maxillofacial Trauma and Mild Traumatic Brain Injury: A Diffusion Tensor Imaging Study  Vigneswaran.
C. P. Loizou1, C. Papacharalambous1, G. Samaras1, E. Kyriakou2, T
Conclusion/Discussion
RESULTS AND DISCUSSION
Lisa A. Weissfeld Professor and Associate Chair Dept. of Biostatistics
A new open-source tool for EEG source reconstruction in infants
Physical Activity Reductions in Male Veterans With Traumatic Brain Injury Karl F. Kozlowski 1,Greg Homish 1, Michelle Alt 2, Sarah Piwowarczyk 2, Kerry.
Computer Vision Aided Image Analysis and Volumetric Reconstruction of The Kidney to Improve Detection of Obstruction in the Urinary Tract Dr. Pramod Reddy.
Demonstrate and Measure the Impact of the Application of the Principles of Medical Informatics in Low-Resource Settings Gerry Douglas, PhD Assistant Professor.
Neuroimaging Schizophrenia and Related Disorders
DTI Course Bring your computer and you will be guided through the steps to reconstruct the white matter fibers of the brain, inspect fibers reaching gray.
Joseph I. Friedman et al. JIMG 2014;7:
Adam Brickler, Psy.D. March 1, 2019
Diffusion Tensor MRI of White Matter of Healthy Full-term Newborns: Relationship to Neurodevelopmental Outcomes Higher white matter integrity (as reflected.
Detecting and Diagnosing Alzheimer’s Disease
Defining diagnostic brain MRI markers in early MSA
Presentation transcript:

Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC Assistant Professor of Neurology Georgetown University School of Medicine Advanced Neuroimaging Methods Nearing Clinical Translation

Public Health Patrick M. Sullivan, MA Research Assistant Chapman Laboratory War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC Advanced Neuroimaging Methods Nearing Clinical Translation

Public Health Disclaimer The views expressed in this presentation are those of the author and DO NOT reflect the official policy of the Department of Veterans Affairs or the United States Government

Public Health Diffusion Tensor Imaging: What’s the big hairy deal?  DTI has been primarily used in research  However, DTI is currently used in some clinical settings  How can DTI be helpful to healthcare providers?  A basic understanding of DTI aids literature review  Scientific findings influence the way we practice  DTI studies of mild TBI provide a good example

Public Health mTBI Diagnosis: A History  Dubious perception of mTBI with persisting symptoms  Little physiologic evidence of injury:  Clinical brain scansPhysical examination  Neuropsychologic data: differences between those with and without mTBI  Litigation inherently will be involved in some cases of mTBI.

Public Health mTBI Diagnosis: A History  1980’s Positron Emission Tomography (PET) studies:  Humayun et al. (1984)  Rao et al. (1989)  PET studies found differences between groups with and without TBI.  Objective physiologic differences

Public Health mTBI and DTI  Functional imaging method  Invasive  Costly  Structural imaging method  Non-Invasive  Less Costly PETDTI

Public Health DTI Studies with differences between mTBI and Healthy Control Groups  Bazarian et al  Benson et al  Kraus et al  Niogi et al  Rutgers et al  Wilde et al  MacDonald et al. 2011

Public Health DTI as a Clinical Tool Goals for:  Diagnosis: Assist in the identification of diagnostic markers  Monitoring: Following the course of progressive diseases (i.e., MS, Alzheimer’s Disease)  Treatment:  identifying sites of disease-related abnormalities to guide treatment  Tracking the effects of treatment over time

Public Health Blast Injury Outcomes (BIO) Study mTBI + PTSD vs. Control Group Chapman Lab Fractional Anisotropy Tapetum_LT

Public Health Blast Injury Outcomes (BIO) Study

Public Health Blast Injury Outcomes (BIO) Study Preliminary Analysis, 2010

Public Health Type 2 Diabetes Mellitus Study DM2 + Obese vs. Obese Groups Chapman Lab Fractional Anisotropy Fornix

Public Health mTBI and Obesity Study Obese only vs. Control Group Mehos & Chapman Axial Diffusivity Cingulate Gyrus_LT

Public Health mTBI and Obesity Study Obese only vs. Control Group Mehos & Chapman Axial Diffusivity Genu of CC_LT

Public Health Volumetric Analysis A method to compare the volume of specific brain regions between patients or groups Athinoula A. Martinos Center for Biomedical Imaging

Public Health Volumetric Analysis  High anatomic validity (gold standard)  Extensive use of algorithms/atlas templates reduce anatomic validity Manually Drawn MethodsAutomated Methods

Public Health Volumetric Analysis  Time-intensive  Inter-rater reliability concerns  Allows high throughput & efficient workflow  Eliminates multiple rater effects Manually Drawn MethodsAutomated Methods

Public Health Volumetric Analysis  Automatic technique relies on distinguishing gray matter, white matter, and CSF  T1-weighted MRI images have good contrast between these types of tissue

Public Health Automated Volumetric Analysis  Automated tools for reconstruction of the brain’s cortical surface from structural MRI data

Public Health Automated Volumetric Analysis  Uses an algorithm to:  Strip away skull and facial tissue  Find border between the gray matter and subcortical white matter  Find border between the gray matter and the pia.

Public Health Automated Volumetric Analysis  Registers image to atlas template  automatically parcels brain into regions based on:  Atlas template  Anatomic properties of the subject brain.

Public Health Clinical Use of Volumetric Analysis  Automated programs accept standard clinical MRI images and produce objective results independent of rater effects.  The automatically parcellated brain regions are each measured for total volume.

Public Health Clinical Use of Volumetric Analysis  These amounts can be averaged into groups and group differences can be computed.  Volumetric differences are seen in many disease conditions such as Alzheimer’s, epilepsy, and depression

Public Health DTI and Volumetric Analysis  Potential to improve quality of care for Veterans  Close to Translation Line  Impact Clinical Practice

Public Health Contact Us or VISIT OUR WEBSITE: