5 Pages

ch17_pages6_10

Course: CH 17, Fall 2008
School: UCLA
Rating:
 
 
 
 
 

Document Preview

Brain 1068 Image Analysis and Atlas Construction Figure 17.1: Elements of a disease-specic atlas. This schematic shows the types of maps and models contained in a disease-specic brain atlas. This atlas [3235] represents an Alzheimers disease population. To construct the atlas, databases of structural imaging data are used to develop detailed models of cortical structure and anatomic subsystems. These models are...

Register Now

Unformatted Document Excerpt

Coursehero >> California >> UCLA >> CH 17

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Brain 1068 Image Analysis and Atlas Construction Figure 17.1: Elements of a disease-specic atlas. This schematic shows the types of maps and models contained in a disease-specic brain atlas. This atlas [3235] represents an Alzheimers disease population. To construct the atlas, databases of structural imaging data are used to develop detailed models of cortical structure and anatomic subsystems. These models are statistically combined to create group average models that can be compared with a normal database. Patterns of variability, asymmetry, and disease-specic differences are also computed from the anatomic data. Specialized techniques create a well-resolved average image template for the patient population (Continuum-Mechanical Atlas, center right). This template provides a coordinate framework to link in vivo metabolic and functional data with ne-scale anatomy and biochemistry [24]. (For a color version of this Figure see Plate 26 in the color section of this book.) Registration to an atlas 1069 17.1.6 Disease-specic atlases Once built, population-based atlases can be stratied into subpopulations to reect the unique anatomy and physiology of a specic group. Atlases are being built to represent populations with Alzheimers disease (Fig. 17.1; [33, 35, 38]) and sc...
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

UCLA - CH - 17
Warping algorithms 1073, a linear system At a global (or local) minimum of the cost function, can be written down and solved for the parameter increment . Here the matrix elements = are computed from the image gradients (using the chain rule), and
UCLA - CH - 17
Model-driven deformable atlases 1083Figure 17.5: Partitioning the ventricles into 3D surface elements. A model of the lateral ventricles is shown, in the context of a coronal anatomic image and a smoothed cortical surface mesh. The ventricles are p
UCLA - CH - 17
Cortical modeling and analysis 1093Figure 17.10: Corpus callosum in Alzheimers disease. Midsagittal corpus callosum boundaries were averaged from patients with Alzheimers disease and from elderly controls matched for age, educational level, gender,
UCLA - CH - 17
1096 Brain Image Analysis and Atlas ConstructionFigure 17.12: Maps of the human cerebral cortex: at maps, spherical maps, and Tensor Maps. Extreme variations in cortical anatomy (3D Models; top left) present challenges in brain mapping because of t
UCLA - CH - 17
Cortical averaging 1099 or planar) used for each surface. Intriguingly, similar variational approaches, using Beltrami ows, have been used for image restoration [144], and related covariant PDEs can assist in structure extraction and statistical appl
UCLA - CH - 17
1100 Brain Image Analysis and Atlas ConstructionFigure 17.14: Cortical averaging. The average cortical surface for a group of subjects (N=9, Alzheimers patents) is shown as a graphically rendered surface model. If sulcal position vectors are averag
UCLA - CH - 17
Cortical averaging 1101Figure 17.15: Matching an individuals cortex to the average cortex. 3D variability patterns across the cortex are measured by driving individual cortical patterns into local correspondence with the average cortical model. (a)
UCLA - CH - 17
Deformation-based morphometry 1103 can be made to represent the average anatomy and its variation in a subpopulation. 17.8.3 Uses of average templatesAverage brain templates have a variety of uses. If functional imaging data from Alzheimers patient
UCLA - CH - 17
Voxel-based morphometry 1113 . Usually the smoothness is calculated not from elements the data itself, which may contain a physiological signal, but from the residuals after tting a linear statistical model which removes linear effects of the experim
UCLA - CH - 17
References 1123[50] A. W. Toga and J. C. Mazziotta, Brain Mapping: The Methods. Academic Press, 1996. [51] M. S. Mega, P. M. Thompson, J. L. Cummings, C. L. Back, L. Q. Xu, S. Zohoori, A. Goldkorn, J. Moussai, L. Fairbanks, G. W. SMall, and A. W. To
UCLA - LONI - 2003
AUTOMATED ANALYSIS OF STRUCTURAL MRI DATA1Paul Thompson PhD, 2Judith L. Rapoport MD, 3Tyrone D. Cannon PhD, 1Arthur W. Toga PhD1Laboratory of Neuro Imaging, Dept. of Neurology, Division of Brain Mapping, 4238 Reed Neurology, UCLA School of Med
UCLA - LONI - 2002
BIOINFORMATICS AND BRAIN IMAGING: RECENT ADVANCES AND NEUROSCIENCE APPLICATIONSPaul M. Thompson, Ph.D. Assistant Professor of Neurology Laboratory of Neuro Imaging, Brain Mapping Division and Brain Research Institute UCLA School of Medicine, Los Ang
UCLA - LONI - 2003
REDUCED CEREBRAL GRAY MATTER VOLUMES MAY HAVE PROGNOSTIC SIGNIFICANCE FOR MEMORY DECLINE IN HEALTHY OLDER ADULTS. Linda M Ercoli, PhD1, Prabha Siddarth, PhD1, Paul M Thompson, PhD2, Kiralee M Hayashi, BS2, Gary W Small, MD11Psychiatry, UCLA Neurop
UCLA - LONI - 2004
A DEFORMABLE BRODMANN AREA ATLAS Paul E. Rasser1,2,3, Patrick J. Johnston2,1, Philip B. Ward1,3 and Paul M. Thompson4,11Neuroscience Institute of Schizophrenia and Allied Disorders, Sydney, Australia; 2Centre for Mental Health Studies, Newcastle,
UCLA - LONI - 2004
BRAIN WARPING WITH IMPLICIT REPRESENTATIONS A. Leow, P. Thompson Laboratory of Neuroimaging Dept. of Neurology UCLA School of Medicine Los Angeles, CA 90095ABSTRACT In this paper, a new framework for brain warping via landmark matching is proposed u
UCLA - LONI - 2004
Regional cortical gray matter thickness reductions in first episode schizophrenia Katherine L. Narr, Paul M. Thompson, Robert M. Bilder, Roger P. Woods, David Rex, Philip Szeszko, Delbert Robinson, YungPing Wang, Heather DeLuca, Arthur W. Toga Labora
UCLA - LONI - 2004
DETECTION & MAPPING OF ABNORMAL BRAIN STRUCTURE IN METHAMPHETAMINE USERS1P.M. Thompson, 1K.M. Hayashi, 2S.L. Simon, 1J.A. Geaga, 1M.S. Hong, 1Y. Sui, 1J.Y. Lee, 1 A.W. Toga, 2W. Ling, 2,3,4E.D. London Laboratory of Neuro Imaging, Brain Mapping Div
UCLA - LONI - 2004
FRACTAL COMPLEXITY OF THE HUMAN CORTEX IS INCREASED IN WILLIAMS SYNDROME1Paul M. Thompson, 1Agatha D. Lee, 1Rebecca A. Dutton, 1Jennifer A. Geaga, 1 Kiralee M. Hayashi, 1John D. Bacheller, 2 Mark A. Eckert, 1Arthur W. Toga, 2Allan L. Reiss1Labo
UCLA - LONI - 2004
Mapping cortical thickness and gray matter density in first episode schizophrenia Katherine L. Narr, Robert M. Bilder, Roger P. Woods, David Rex, Philip Szeszko, Delbert Robinson, YungPing Wang, Heather DeLuca, Arthur W. Toga, Paul M. Thompson. Labor
UCLA - LONI - 2004
Evaluation of a Landmark Curve Matching Technique in Brain Mapping based on the Level Set Method A.D. Leow,1 H.D. Protas2, S.-C. Huang2, P.M. Thompson1 Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, L.A., CA 90095 2 Dep
UCLA - LONI - 2004
SURFACE-BASED COMPUTATIONAL ANATOMY TECHNIQUES REVEAL VENTRICULAR AND HIPPOCAMPAL ABNORMALITIES IN ADOLESCENTS WITH SCHIZOPHRENIA1C.N. Vidal*, 2J.L. Rapoport, 1K.M. Hayashi, 1J.A. Geaga, 1Y. Sui, 1T. Nguyen, 1L. McLemore, 1V. S. Li, 2J.N. Giedd, 2
UCLA - LONI - 2004
Analysis of first-episode schizophrenia patients sMRI and fMRI BOLD activation during the Tower of London Task using cortical pattern matching Paul E. Rasser, Patrick Johnston, Jim Lagopoulos, Philip B. Ward, Ulrich Schall, Renate Thienel, Stefan Ben
UCLA - LONI - 2004
A 3D Probabilistic Glioblastoma Multiforme Location AtlasAJ Frew, PM Thompson, TF Cloughesy, PB Tseng, AW Toga, JR Alger Biomedical Physics, Neurology, and Radiology, University of California, Los Angeles Los Angeles, CA Abstract: A 3D probabilistic
UCLA - LONI - 2004
Parametric Transverse Relaxation Time Measures are More Consistent across Subjects than T2-Weighted Image Intensity MeasuresAJ Frew, PM Thompson, TF Cloughesy, Bier D, AW Toga, JR Alger Biomedical Physics, Neurology, and Radiology, University of Cal
UCLA - LONI - 2004
Volumetric Harmonic Brain Mapping using a Variational MethodYalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3 , Shing-Tung Yau4 1 Mathematics Department, UCLA 2 CISE, University of Florida 3 Lab. of Neuro Imaging and Brain Research Inst
UCLA - LONI - 2004
HIPPOCAMPAL MORPHOMETRY STUDIED WITH BRAIN CONFORMAL MAPPINGYALIN WANG XIANFENG GU PAUL M. THOMPSON SHING-TUNG YAU (a)(b)(c)Figure 1. Illustrates the conformal mapping on hippocampal surfaces. (a) is the view, from above, of left hippocam
UCLA - LONI - 2004
UCLA - LONI - 2004
UCLA - LONI - 2005
Asymmetries in the Corpus Callosum and the Influence of GenderLuders E1, Narr KL1, Zaidel, E2 Thompson PM1, Jancke L3, Gaser C4, and Toga AW11Laboratoryof Neuro Imaging, Brain Mapping Division, Department of Neurology, UCLA School of Medicine, US
UCLA - LONI - 2005
FMRI BOLD Cerebellar Activation of First-episode Schizophrenia Patients during the Tower of London Task*P.E. Rasser1,2,3, G. Peck1,2, P. Johnston1,2,3, P.M. Thompson1,4, P.B. Ward1,5 and U. Schall1,2,31) Neuroscience Institute of Schizophrenia and
UCLA - LONI - 2005
Cortical thinning in cingulate and occipital cortices in first episode schizophrenia Katherine L. Narr, Arthur W. Toga, Philip Szeszko, Paul M. Thompson, Roger P. Woods, Delbert Robinson, Serge Sevy, YungPing Wang, Karen Schrock, Robert M. Bilder Lab
UCLA - LONI - 2005
Liana G. Apostolova, Paul M. Thompson, Kiralee M. Hayashi, Ivo D. Dinov, Arthur W. Toga, Jeffrey L. Cummings. 3D surface-based gray matter density analysis can predict conversion from mild cognitive impairment to Alzheimers dementia Objective: To tes
UCLA - LONI - 2005
Analysis of Regional Brain Atrophy in A Single Case of Semantic Dementia Using Serial MRI with Inverse-Consistent Non-Rigid Registration A.D.Leow1, A.D. Lee1, M.C. Chiang1, R.A. Dutton1, K.M. Hayashi1, S.-C. Huang2, J.T. Becker3, S.W. Davis3, A.W. To
UCLA - LONI - 2005
Tensor-Based Morphometry of the Corpus Callosum in Williams Syndrome1Ming-Chang Chiang, 2Allan L. Reiss, 2Mark A. Eckert, 1Rebecca A. Dutton, 1Agatha D. Lee, 1 Yasaman Alaghband, 3Ursula Bellugi, 4Albert M. Galaburda, 5 Julie R. Korenberg, 6Debra
UCLA - LONI - 2005
Mapping reduced cortical thickness and complexity in mesial temporal lobe epilepsy with hippocampal sclerosis Jack J Lin1,4, Noriko Salamon2, Agatha D Lee3, Rebecca A Dutton3, Jennifer A Geaga3, Kiralee M Hayashi3, Eileen Luders3, Arthur W Toga3, Jer
UCLA - LONI - 2005
3D Mapping of the Lateral Ventricles in AutismChristine N. Vidal MS, 4Emmanuelle Frenoux PhD, 2,3Rob Nicolson MD, 4 Jean-Yves Boire PhD, 3Timothy J. DeVito M.Eng, 1Jennifer A. Geaga, 1 Kiralee M. Hayashi, 3 Dick J. Drost PhD, 2,3Peter C. Williamson
UCLA - LONI - 2005
UCLA - LONI - 2005
Hippocampal changes in Alzheimer, fronto-temporal and Lewy body dementia patients: a radial atrophy mapping study. Sabattoli F1, Boccardi M1, Lee AD2, Dutton RA2, Thompson PM2, Frisoni GB1,3.1LENITEM Laboratory of Epidemiology, Neuroimaging, & Tel
UCLA - LONI - 2005
Mapping CSF Changes in First Episode Schizophrenia1 4Katherine L. Narr; 2,3Robert M. Bilder, 2Roger P. Woods, 1Paul M. Thompson; 4Philip Szeszko; Delbert Robinson; 1Martina Ballmaier; 1Margaret Slater; 1Bradley Messenger; 1YungPing Wang and 1,2Art
UCLA - LONI - 2005
Optimization of Conformal Parametrization using LandmarksYalin Wang1 , Lok Ming Lui1 , Tony F. Chan1 , Paul M. Thompson2 1 Mathematics Department, UCLA Laboratory. of Neuro Imaging and Brain Research Institute, UCLA School of Medicine {ylwang,malmlu
UCLA - LONI - 2005
Brain Surface Parameterization with Holomorphic Dierential FormsYalin Wang1 , Xianfeng Gu2 , Kiralee M. Hayashi3 , Tony F. Chan1 , Paul M. Thompson3 , Shing-Tung Yau4 1 Mathematics Department, UCLA 2 Computer Science Department, SUNY at Stony Brook
UCLA - LONI - 2005
Direct Painting Software for Tracing on 3D Brain Surfaces with Global Conformal ParameterizationYalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3 , Shing-Tung Yau4 1 Mathematics Department, UCLA 2 Computer Science Department, SUNY at St
UCLA - LONI - 2005
Gender Effects on Cortical Thickness Luders E1, Narr KL1, Thompson PM1, Rex DE1, Woods RP2, DeLuca H1, Jancke L3, and Toga AW11Laboratory of Neuro Imaging, Department of Neurology, UCLA Geffen School of Medicine Los Angeles, USA 2 Ahmanson-Lovelac
UCLA - LONI - 2005
Thin Plate Spline Registration in the Intrinsic Geometry of the Cortical Surface Anand Joshi1, David W. Shattuck2, Paul M. Thompson2, Richard M. Leahy1 1. Signal and Image Processing Institute, University of Southern California, Los Angeles, USA 2. L
UCLA - LONI - 2005
CORTICAL BRAIN SURFACE MAPPING FOR STUDYING PARTIAL VOLUME EFFECTS IN BRAIN FDG PET IMAGES Hillary Protas, Paul M. Thompson, Kiralee M. Hayashi, S.C. Huang Objectives Due to the small thickness of cortical gray matter in the brain, biological interpr
UCLA - LONI - 2003
DYNAMIC MAPPING OF ALZHEIMERS DISEASE1Paul M. Thompson, 1Kiralee M. Hayashi, 2Greig de Zubicaray, 2Andrew L. Janke, Elizabeth R. Sowell, 2Stephen E. Rose, 3James Semple, 1David Herman, 1Michael S. Hong, 1 Stephanie S. Dittmer, 2David M. Doddrell,
UCLA - LONI - 2002
Inverse Consistent Medical Image RegistrationGary E. ChristensenDepartment of Electrical & Computer Engineering The University of IowaThis work was supported by NIH grant NS35368.Gary E. Christensen, MICCAI 2002Introduction Uses of image reg
UCLA - WIRELESS - 2
Smart Sensor Platform for Industrial Monitoring and ControlHarish Ramamurthy, B. S. Prabhu and Rajit GadhWireless Internet for the Mobile Enterprise Consortium University of California, Los Angeles Los Angeles, California, USA.Abstract a wireless
UCLA - WIRELESS - 2
Accepted at IEEE Wireless Telecommunication Symposium WTS 2005, Pomona, CaliforniaReWINS: A Distributed Multi-RF Sensor Control Network for Industrial AutomationHarish Ramamurthy, Dhananjay Lal, B.S. Prabhu and Rajit Gadh, Wireless Internet for th
UCLA - WIRELESS - 2
UCLA - WIRELESS - 2
To appear in the proceedings of International Workshop on Secure and Ubiquitous Networks-SUN05; Part of DEXA 2005 - 16th International Conference on Database and Expert Systems Applications, Copenhagen, Denmark, 22 - 26 August 2005. Applied Research
UCLA - STATS - 03
A Multi-scale Generative Model for Animate Shapes and PartsAleksandr Dubinskiy and Song Chun Zhu dubinskiy1@yahoo.com, sczhu@stat.ucla.eduAbstractThis paper presents a multi-scale generative model for representing animate shapes and extracting me
UCLA - ECON - 211
Copyright (C) 2001 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of version 1 of the open text license amendment to version 2 of the GNU General Public License. The open text license amend
UCLA - ECON - 211
Economic 211B, David K. Levine Answers to Problems on Game Theory Fundamentals Last modified: March 11, 1998 1. When x = 18 the mixed strategy equilibrium (indifference between the two strategies) is at 50-50. So if x > 18 the bottom (Pareto efficien
UCLA - ECON - 211
Economic 211B, David K. Levine Problems on Repeated Games Last modified: January 19, 1999 (click here for answers) 1. Investment An investor may either be wealthy or bankrupt. If he is bankrupt he receives zero and has no choices. If he is wealthy he
UCLA - ECON - 211
Economic 211B, David K. Levine Answers to Problems on Repeated GamesLast Modified: January 19, 1999 1. Bellmans equationvbankrupt = 0 vwealthy = maxif max is bond then vwealthy = 1(1 )1 + v % &21 )2 + ( pv + (1 )v 7 'wealthy bankrupt w
UCLA - ECON - 211
1 Copyright (C) 2001 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of version 1 of the open text license amendment to version 2 of the GNU General Public License. The open text license ame
UCLA - ECON - 211
1 Economic 211B, David K. Levine Answers to Problems on Reputation Last modified: March 11, 19981. Reputation Gigantic = player 1 Consumeroutstanding mediocre Gigantic cheap (4,0) real (2,2) Consumer (1,1)unique subgame perfect equilibrium is ch
UCLA - ECON - 211
Economic 211, David K. Levine Problems on Learning Last modified: March 16, 1999 (click here for answers) 1. In a two-player game, a marginal best response distribution is a probability distribution over outcomes (possibly correlated) such that each
UCLA - ECON - 211
Economic 211, David K. Levine Answers to Problems on Learning Last modified: March 16, 1999 1. in a 2x2 game a marginal best best response distribution is a correlated equilibrium: weak marginal best response must satisfy that actual utility is great