DOCSLIB.ORG

Reversible Cerebral Vasoconstriction Syndrome Proton Beam Radiation Necrosis in Pediatric Patients Woven Endobridge Flow Disrupt

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Reversible Cerebral Vasoconstriction Syndrome Proton Beam Radiation Necrosis in Pediatric Patients Woven Endobridge Flow Disrupt AUGUST 2015 THE JOURNAL OF DIAGNOSTIC AND VOLUME 36 INTERVENTIONAL NEURORADIOLOGY NUMBER 8 WWW.AJNR.ORG Reversible cerebral vasoconstriction syndrome Proton beam radiation necrosis in pediatric patients Woven EndoBridge flow disrupter Official Journal ASNR • ASFNR • ASHNR • ASPNR • ASSR Engineered® by MicroVention HYDROGEL ADVANCED COILS ThT e cliniccalal benenefie ts of hydrogel NOW engginneeereed wiwitht the sooftf ness of bare plal titinunum onn the VV-Trak® Advd ana cec d Coill Systet m. INDICATIONS FOR USE: The HydroCoil® Embolic System (HES) is intended for the endovascular embolization of intracranial aneurysms and other neurovascular abnormalities such as arteriovenous malformations and arteriovenous fistulae. The HES is also intended for vascular occlusion of blood vessels within the neurovascular system to permanently obstruct blood flow to an aneurysm or other vascular malformation and for arterial and venous embolizations in the peripheral vasculature. The device should only be used by physicians who have undergone pre-clinical training in all aspects of HES procedures as prescribed by MicroVention. MICROVENTION, V-Trak, HydroCoil, HydroFrame, HydroFill and HydroSoft are registered trademarks of MicroVention, Inc. Scientific and clinical data related to this document are on file at MicroVention, Inc. Refer to Instructions for Use, contraindications and warnings for additional information. Federal (USA) law restricts this device for sale by or on the order of a physician. © 2015 MicroVention, Inc. 6/15 Frame, Fill, Finish HydroFrame® ® ® HydroCoil® Embolic System HydroCoil® Embolic System HydroCoil® Embolic System t $-*/*$"--: 456%*&% ):%30(&- t &''&$5*7&1,2,3 t &45"#-*4)&% 4"'&5: 130'*-&4 t 40'5&3 %&4*(/5 MicroVention, Inc. For more information or a product demonstration, Worldwide Headquarters PH +1.714.247.8000 contact your local MicroVention representative: 1311 Valencia Avenue Tustin, CA 92780 USA MicroVention UK Limited PH +44 (0) 191 258 6777 MicroVention Europe, S.A.R.L. PH +33 (1) 39 21 77 46 MicroVention Deutschland GmbH PH +49 211 210 798-0 microvention.com References 1. Speirs, Burke, Lee, and Ala. The next generation HydroCoil: initial clinical experience with the HydroFill embolic coil. J NeuroIntervent Surg, 2013. 2. Brinjikiji et al. Abstract 112. Presented at: International Stroke Conference 2015, Nashville, Tennessee, February 11-13, 2015. 3. Lee, Seo, Less, Cho, Kang and Han. Mid-term outcome of intracranial aneurysms treated with HydroSoft coils compared to historical controls treated with bare platinum coils: a single-center experience. Acta Neurochir, 156:1687-1694, 2014. 4. Laymond et al. Patients prone to recurrence after endovascular treatment: periprocedural results of the PRET randomized trial on large and recurrent aneurysms, AJNR AM J Neuroradiol, 2014. 5. Data on file at MicroVention, Inc. Extremely soft profi le of The Barricade Finishing coil now in a complex shape Excellent microcatheter stability for confi dent coil placement Available in a size range of 1mm-5mm MADE IN AMERICA The Barricade Coil System is intended for the endovascular embolization of intracranial aneurysms and other neurovascular abnormalities such as arteriovenous malformations and arteriovenous fi stulae. The System is also intended for vascular occlusion of blood vessels within the neurovascular system to permanently obstruct blood fl ow to an aneurysm or other vascular malformation and for arterial and venous embolizations in the peripheral vasculature. Refer to the instructions for use for complete product information. 18 TECHNOLOGY DRIVE #169, IRVINE CA 92618 p: 949.788.1443 | f: 949.788.1444 WWW.BLOCKADEMEDICAL.COM MKTG-031 Rev. A AMERICAN JOURNAL OF NEURORADIOLOGY AUGUST 2015 Publication Preview at www.ajnr.org features articles released in advance of print. AJNRVOLUME 36 Visit www.ajnrblog.org to comment on AJNR content and chat with colleagues NUMBER 8 and AJNR’s News Digest at http://ajnrdigest.org to read the stories behind the WWW.AJNR.ORG latest research in neuroimaging. PERSPECTIVES 1391 J. McCarty REVIEW ARTICLE 1392 Reversible Cerebral Vasoconstriction Syndrome, Part 1: Epidemiology, Pathogenesis, and Clinical Course T.R. Miller, R. Shivashankar, M. Mossa-Basha, and D. Gandhi PRACTICE PERSPECTIVES 1400 Mesial Temporal Sclerosis: Accuracy of NeuroQuant versus Neuroradiologist M. Azab, M. Carone, S.H. Ying, and D.M. Yousem ADULT BRAIN 1407 Perfusion Deficits and Mismatch in Patients with Acute Lacunar Infarcts Studied with Whole-Brain CT Perfusion S. Rudilosso, X. Urra, L. San Roma´n, Indicates Editor’s C. Laredo, A. Lo´pez-Rueda, S. Amaro, L. Oleaga, and A´. Chamorro Choices selection Indicates Fellows’ 1413 Residual Thromboembolic Material in Cerebral Arteries after Endovascular Journal Club selection Stroke Therapy Can Be Identified by Dual-Energy CT A.E. Grams, Indicates open access to non- M. Knoflach, R. Rehwald, J. Willeit, M. Sojer, E.R. Gizewski, and B. Glodny subscribers at www.ajnr.org 1419 Performance and Predictive Value of a User-Independent Platform for CT Indicates article with supplemental on-line table Perfusion Analysis: Threshold-Derived Automated Systems Outperform Examiner-Driven Approaches in Outcome Prediction of Acute Ischemic Indicates article with supplemental on-line photo Stroke S. Dehkharghani, R. Bammer, M. Straka, L.S. Albin, O. Kass-Hout, J.W. Allen, Indicates article with S. Rangaraju, D. Qiu, M.J. Winningham, and F. Nahab supplemental on-line video 1426 Hyperintense Vessels on FLAIR: Hemodynamic Correlates and Response to EBM Indicates Evidence-Based Medicine Thrombolysis A. Kufner, I. Galinovic, V. Ambrosi, C.H. Nolte, M. Endres, J.B. Fiebach, 1 Level 1 and M. Ebinger EBM Indicates Evidence-Based Medicine 2 Level 2 1431 Evaluating CT Perfusion Deficits in Global Cerebral Edema after Aneurysmal Subarachnoid Hemorrhage H. Baradaran, V. Fodera, D. Mir, K. Kesavobhotla, J. Ivanidze, U. Ozbek, A. Gupta, J. Claassen, and P.C. Sanelli 1436 Constrained Source Space MR Spectroscopy: Multiple Voxels, No Gradient Readout K. Landheer, A. Sahgal, S. Das, and S. J. Graham 1444 High-Resolution DCE-MRI of the Pituitary Gland Using Radial k-Space Acquisition with Compressed Sensing Reconstruction M.C. Rossi Espagnet, L. Bangiyev, M. Haber, K.T. Block, J. Babb, V. Ruggiero, F. Boada, O. Gonen, CT images showing findings and G.M. Fatterpekar of acute invasive fungal rhinosinusitis including 1450 How Does the Accuracy of Intracranial Volume Measurements Affect periantral fat involvement, Normalized Brain Volumes? Sample Size Estimates Based on 966 Subjects and soft tissue within the from the HUNT MRI Cohort T.I. Hansen, V. Brezova, L. Eikenes, A. Håberg, sphenopalatine foramen. and T.R. Vangberg The newly designed Trevo® XP ProVue Retriever takes proven Trevo Retriever performance to new levels for easy delivery, easy placement, and easy visualization. When you’re in control, it’s amazing what you can capture. Copyright © 2014 Stryker NV00009028.AA 1457 Longitudinal Mixed-Effect Model Analysis of the Association between Global and Tissue-Specific Brain Atrophy and Lesion Accumulation in Patients with Clinically Isolated Syndrome M. Varosanec, T. Uher, D. Horakova, J. Hagemeier, N. Bergsland, M. Tyblova, Z. Seidl, M. Vaneckova, J. Krasensky, M.G. Dwyer, E. Havrdova, and R. Zivadinov 1465 Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach J. van Heerden, D. Rawlinson, A.M. Zhang, R. Chakravorty, M.A. Tacey, P.M. Desmond, and F. Gaillard 1472 Mean Diffusional Kurtosis in Patients with Glioma: Initial Results with a Fast Imaging Method in a Clinical Setting A. Tietze, M.B. Hansen, L. Østergaard, S.N. Jespersen, R. Sangill, T.E. Lund, M. Geneser, M. Hjelm, and B. Hansen FUNCTIONAL EBM 2 1479 Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy L. Su, J. An, Q. Ma, S. Qiu, and D. Hu 1488 Challenges in Identifying the Foot Motor Region in Patients with Brain Tumor on Routine MRI: Advantages of fMRI R.A. Fisicaro, R.X. Jiao, C. Stathopoulos, N.M. Petrovich Brennan, K.K. Peck, and A.I. Holodny 1494 Identifying Corticothalamic Network Epicenters in Patients with Idiopathic Generalized Epilepsy G.-J. Ji, Z. Zhang, Q. Xu, Z. Wang, J. Wang, Q. Jiao, F. Yang, Q. Tan, G. Chen, Y.-F. Zang, W. Liao, and G. Lu INTERVENTIONAL 1501 Woven EndoBridge Intrasaccular Flow Disrupter for the Treatment of Ruptured and Unruptured Wide-Neck Cerebral Aneurysms: Report of 55 Cases D. Behme, A. Berlis, and W. Weber 1507 Vascular Wall Imaging of Unruptured Cerebral Aneurysms with a Hybrid of Opposite-Contrast MR Angiography T. Matsushige, Y. Akiyama, T. Okazaki, K. Shinagawa, N. Ichinose, K. Awai, and K. Kurisu HEAD & NECK 1512 The Role of Core Needle Biopsy and Its Impact on Surgical Management in Patients with Medullary Thyroid Cancer: Clinical Experience at 3 Medical Institutions E.J. Ha, J.H. Baek, D.G. Na, J.-h. Kim, J.K. Kim, H.S. Min, D.E. Song, K.E. Lee, and Y.K. Shong 1518 Optimal Virtual Monochromatic Images for Evaluation of Normal Tissues and Head and Neck Cancer Using Dual-Energy CT S. Lam, R. Gupta, M. Levental, E. Yu, H.D. Curtin, and R. Forghani 1525 Residual Cervical Thymus: A Normal CT Finding That May Be Present Throughout Patients’ Lives A.V. Prabhu, H.A. Kale, and B.F. Branstetter IV 1529 Acute Invasive Fungal Rhinosinusitis: A Comprehensive Update of CT Findings and Design of an Effective Diagnostic Imaging Model E.H. Middlebrooks, C.J. Frost, R.O. De Jesus, T.C. Massini, I.M. Schmalfuss, and A.A. Mancuso 1536 Hyperintense Optic Nerve due to Diffusion Restriction: Diffusion- Weighted Imaging in Traumatic Optic Neuropathy U.K. Bodanapally, K. Shanmuganathan, R.K. Shin, D. Dreizin, L. Katzman, R.P. Reddy, and D. Mascarenhas PEDIATRICS 1542 Injury to the Cerebellum in Term Asphyxiated Newborns Treated with Hypothermia S. Kwan, E. Boudes, G. Gilbert, C. Saint-Martin, S. Albrecht, M. Shevell, and P. Wintermark The Foundation of the ASNR Symposium 2016: Emergency Neuroradiology May 21-22 ASNR 54th Annual Meeting May 23-26 Howard A. Rowley, MD, ASNR 2016 Program Chair/President-Elect Programming developed in cooperation with … American Society of Functional Neuroradiology (ASFNR) Christopher G.
Load more

Recommended publications
  • 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 ..............................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • A Novel Mricompatible Brain Ventricle Phantom for Validation of Segmentation and Volumetry Methods
    CME JOURNAL OF MAGNETIC RESONANCE IMAGING 36:476–482 (2012) Original Research A Novel MRI-Compatible Brain Ventricle Phantom for Validation of Segmentation and Volumetry Methods Amanda F. Khan, MSc,1,2 John J. Drozd, PhD,2 Robert K. Moreland, MSc,2,3 Robert M. Ta, MSc,1,2 Michael J. Borrie, MB ChB,3,4 Robert Bartha, PhD1,2* and the Alzheimer’s Disease Neuroimaging Initiative Purpose: To create a standardized, MRI-compatible, life- Conclusion: The phantom represents a simple, realistic sized phantom of the brain ventricles to evaluate ventricle and objective method to test the accuracy of lateral ventri- segmentation methods using T1-weighted MRI. An objec- cle segmentation methods and we project it can be tive phantom is needed to test the many different segmen- extended to other anatomical structures. tation programs currently used to measure ventricle vol- Key Words: 3T; brain phantom; MRI; ventricle; software umes in patients with Alzheimer’s disease. validation; segmentation Materials and Methods: A ventricle model was con- J. Magn. Reson. Imaging 2012;36:476–482. structed from polycarbonate using a digital mesh of the VC 2012 Wiley Periodicals, Inc. ventricles created from the 3 Tesla (T) MRI of a subject with Alzheimer’s disease. The ventricle was placed in a brain mold and surrounded with material composed of VOLUMETRY HAS DEMONSTRATED that large mor- 2% agar in water, 0.01% NaCl and 0.0375 mM gadopente- phological changes occur in the brain during the tate dimeglumine to match the signal intensity properties course of Alzheimer’s disease (AD) (1). In particular, of brain tissue in 3T T -weighted MRI.
    [Show full text]
  • Medical Images Research Framework
    Medical Images Research Framework Sabrina Musatian Alexander Lomakin Angelina Chizhova Saint Petersburg State University Saint Petersburg State University Saint Petersburg State University Saint Petersburg, Russia Saint Petersburg, Russia Saint Petersburg, Russia Email: [email protected] Email: [email protected] Email: [email protected] Abstract—with a growing interest in medical research problems for the development of medical instruments and to show and the introduction of machine learning methods for solving successful applications of this library on some real medical those, a need in an environment for integrating modern solu- cases. tions and algorithms into medical applications developed. The main goal of our research is to create medical images research 2. Existing systems for medical image process- framework (MIRF) as a solution for the above problem. MIRF ing is a free open–source platform for the development of medical tools with image processing. We created it to fill in the gap be- There are many open–source packages and software tween innovative research with medical images and integrating systems for working with medical images. Some of them are it into real–world patients treatments workflow. Within a short specifically dedicated for these purposes, others are adapted time, a developer can create a rich medical tool, using MIRF's to be used for medical procedures. modular architecture and a set of included features. MIRF Many of them comprise a set of instruments, dedicated takes the responsibility of handling common functionality for to solving typical tasks, such as images pre–processing medical images processing. The only thing required from the and analysis of the results – ITK [1], visualization – developer is integrating his functionality into a module and VTK [2], real–time pre–processing of images and video – choosing which of the other MIRF's features are needed in the OpenCV [3].
    [Show full text]
  • High-Yield Neuroanatomy
    LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page i Aptara Inc. High-Yield TM Neuroanatomy FOURTH EDITION LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page ii Aptara Inc. LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page iii Aptara Inc. High-Yield TM Neuroanatomy FOURTH EDITION James D. Fix, PhD Professor Emeritus of Anatomy Marshall University School of Medicine Huntington, West Virginia With Contributions by Jennifer K. Brueckner, PhD Associate Professor Assistant Dean for Student Affairs Department of Anatomy and Neurobiology University of Kentucky College of Medicine Lexington, Kentucky LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page iv Aptara Inc. Acquisitions Editor: Crystal Taylor Managing Editor: Kelley Squazzo Marketing Manager: Emilie Moyer Designer: Terry Mallon Compositor: Aptara Fourth Edition Copyright © 2009, 2005, 2000, 1995 Lippincott Williams & Wilkins, a Wolters Kluwer business. 351 West Camden Street 530 Walnut Street Baltimore, MD 21201 Philadelphia, PA 19106 Printed in the United States of America. All rights reserved. This book is protected by copyright. No part of this book may be reproduced or transmitted in any form or by any means, including as photocopies or scanned-in or other electronic copies, or utilized by any information storage and retrieval system without written permission from the copyright owner, except for brief quotations embodied in critical articles and reviews. Materials appearing in this book prepared by individuals as part of their official duties as U.S. government employees are not covered by the above-mentioned copyright. To request permission, please contact Lippincott Williams & Wilkins at 530 Walnut Street, Philadelphia, PA 19106, via email at [email protected], or via website at http://www.lww.com (products and services).
    [Show full text]
  • 9. Biomedical Imaging Informatics Daniel L
    9. Biomedical Imaging Informatics Daniel L. Rubin, Hayit Greenspan, and James F. Brinkley After reading this chapter, you should know the answers to these questions: 1. What makes images a challenging type of data to be processed by computers, as opposed to non-image clinical data? 2. Why are there many different imaging modalities, and by what major two characteristics do they differ? 3. How are visual and knowledge content in images represented computationally? How are these techniques similar to representation of non-image biomedical data? 4. What sort of applications can be developed to make use of the semantic image content made accessible using the Annotation and Image Markup model? 5. Describe four different types of image processing methods. Why are such methods assembled into a pipeline when creating imaging applications? 6. Give an example of an imaging modality with high spatial resolution. Give an example of a modality that provides functional information. Why are most imaging modalities not capable of providing both? 7. What is the goal in performing segmentation in image analysis? Why is there more than one segmentation method? 8. What are two types of quantitative information in images? What are two types of semantic information in images? How might this information be used in medical applications? 9. What is the difference between image registration and image fusion? Given an example of each. 1 9.1. Introduction Imaging plays a central role in the healthcare process. Imaging is crucial not only to health care, but also to medical communication and education, as well as in research.
    [Show full text]
  • High-Yield Neuroanatomy, FOURTH EDITION
    LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page i Aptara Inc. High-Yield TM Neuroanatomy FOURTH EDITION LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page ii Aptara Inc. LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page iii Aptara Inc. High-Yield TM Neuroanatomy FOURTH EDITION James D. Fix, PhD Professor Emeritus of Anatomy Marshall University School of Medicine Huntington, West Virginia With Contributions by Jennifer K. Brueckner, PhD Associate Professor Assistant Dean for Student Affairs Department of Anatomy and Neurobiology University of Kentucky College of Medicine Lexington, Kentucky LWBK110-3895G-FM[i-xviii].qxd 8/14/08 5:57 AM Page iv Aptara Inc. Acquisitions Editor: Crystal Taylor Managing Editor: Kelley Squazzo Marketing Manager: Emilie Moyer Designer: Terry Mallon Compositor: Aptara Fourth Edition Copyright © 2009, 2005, 2000, 1995 Lippincott Williams & Wilkins, a Wolters Kluwer business. 351 West Camden Street 530 Walnut Street Baltimore, MD 21201 Philadelphia, PA 19106 Printed in the United States of America. All rights reserved. This book is protected by copyright. No part of this book may be reproduced or transmitted in any form or by any means, including as photocopies or scanned-in or other electronic copies, or utilized by any information storage and retrieval system without written permission from the copyright owner, except for brief quotations embodied in critical articles and reviews. Materials appearing in this book prepared by individuals as part of their official duties as U.S. government employees are not covered by the above-mentioned copyright. To request permission, please contact Lippincott Williams & Wilkins at 530 Walnut Street, Philadelphia, PA 19106, via email at [email protected], or via website at http://www.lww.com (products and services).
    [Show full text]
  • NEUROANATOMY Draw It to Know It This Page Intentionally Left Blank NEUROANATOMY Draw It to Know It
    NEUROANATOMY Draw It to Know It This page intentionally left blank NEUROANATOMY Draw It to Know It ADAM FISCH, MD Washington University in St. Louis School of Medicine Department of Neurology St. Louis, MO 1 2009 1 Oxford University Press, Inc., publishes works that further Oxford University’s objective of excellence in research, scholarship, and education. Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Copyright © 2009 by Adam Fisch. Published by Oxford University Press, Inc. 198 Madison Avenue, New York, New York 10016 www.oup.com Oxford is a registered trademark of Oxford University Press All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior permission of Oxford University Press. Library of Congress Cataloging-in-Publication Data Fisch, Adam. Neuroanatomy : draw it to know it / Adam Fisch. p. cm. Includes bibliographical references and index. ISBN 978-0-19-536994-6 1. Neuroanatomy—Graphic methods. I. Title. QM451.F57 2009 611.8—dc22 2008047543 9 8 7 6 5 4321 Printed in the United States of America on acid-free paper This book is dedicated in loving memory to my younger brother, David, whose humility and enthusiasm for learning remain a source of inspiration. This page intentionally left blank FOREWORD EUROANATOMY IS A nightmare for neuroimaging, the actual practice of neurology, most medical students.
    [Show full text]
  • Visual-Limbic Disconnection Syndrome of the Non-Human Primate with the Experimental Brain Lesion
    Nagoya ]. med. Sci. 31: 485-507, 1969 VISUAL-LIMBIC DISCONNECTION SYNDROME OF THE NON-HUMAN PRIMATE WITH THE EXPERIMENTAL BRAIN LESION - SOME ASPECTS OF THE KLUVER-BUCY'S SYNDROME WITH SPECIAL REFERENCE TO THE GNOSTIC ABILITY- Yun ANno 1st Department of Surgery, Nagoya University School of Medicine (Director: Prof Yoshio Hashimoto) ABSTRACT The adult male monkeys (macaca fuscata fuscata) were used in this study. After ecological behavioral observations on three selected pairs, bilateral temporal lobes of the dominant monkeys were removed and submissive ones were operated with only exploratory craniotomy for the control study. Subsequently, the behavioral changes were observed individually and in the each same pair. Indi­ vidual behavioral changes of the bilateral temporal lobectomized monkeys were those of the KHiver·Bucy's syndrome. Changes in pair suggested the "socio· agnostic" behavior. Selected one of the operated dominant monkeys with persistent Kliiver·Bucy's syndrome, psychometric examinations mediated visually, were performed to elucidate the mechanism of the agnostic behaviors which were observed ecolo­ gically, which was the main purpose of this study. The various visual discrimina· tions (of color, form, size and brightness) were tasked on the bilateral temporal lobectomized monkey under proper conditionings with comparison to the sham· operated monkey as the control monkey. Eventually, the bilateral temporal lobectomized monkey could not learn the tasks after even 200 trials each, while the control monkey was able to reach to the criterion (20 consecutive correct responses) finally. The essential factor of the agnostic behaviors seem to be settled on the dissociation of the limbic function from the visual function.
    [Show full text]
  • Corpus Callosum and Neglect Syndrome
    Published online: 2019-09-04 Review Article Corpus Callosum and Neglect Syndrome: Clinical Findings After Meningioma Removal and Anatomical Review David Gomes1, Madalena Fonseca1, Maria Garrotes1, Maria Rita Lima1, Marta Mendonça1, Mariana Pereira1, Miguel Lourenço1, Edson Oliveira1,2, José Pedro Lavrador1,2,3 1 Department of Anatomy, Two types of neglect are described: hemispatial and motivational neglect syndromes. Neglect Lisbon Medical School, syndrome is a neurophysiologic condition characterized by a malfunction in one hemisphere of 2 Department of the brain, resulting in contralateral hemispatial neglect in the absence of sensory loss and the Neurosurgical, Hospital right parietal lobe lesion being the most common anatomical site leading to it. In motivational Santa Maria, Centro neglect, the less emotional input is considered from the neglected side where anterior cingulate Hospitalar Lisboa Norte, cortex harbors the most frequent lesions. Nevertheless, there are reports of injuries in the corpus 3 ABSTRACT Lisboa, Portugal, Department callosum (CC) causing hemispatial neglect syndrome, particularly located in the splenium. of Paediatric and Adult It is essential for a neurosurgeon to recognize this clinical syndrome as it can be either a Neurosurgery, King’s College primary manifestation of neurosurgical pathology (tumor, vascular lesion) or as a postoperative Hospital NHS Foundation iatrogenic clinical finding. The authors report a postoperative hemispatial neglect syndrome after Trust, Denmark Hill, London a falcotentorial meningioma removal that recovered 10 months after surgery and performs a clinical, anatomical, and histological review centered in CC as key agent in neglect syndrome. Keywords: Corpus callosum, meningioma, neglect Introduction There are two hypotheses concerning the pathophysiology he right hemisphere is the dominant for the visuospatial of neglect.
    [Show full text]
  • Segmentation Tools Frederic Cervenansky What Is Open-Source
    Through the forest of open source segmentation tools Frederic Cervenansky What is Open-Source Open source doesn’t just mean access to source code 1 - Free Redistribution (no restriction from selling or giving away the software as a component) 2 - Source Code ( as well as compiled form) 3 - Derived Works (copyleft license) 4 - Integrity of The Author's Source Code (users have a right to know who is the original author) 5 – Distribution of License (no need of a third license) 6 and more What criteria to discriminate software? Usability Code Langage Segmentation methods Plugins – Extensions Organ/structure specificity Software Organs specific Code Segmentation Plugins Citations* Language Methods ImageJ no Java Automatic Yes 723 Fiji No ( Cell) Java Automatic Yes 1254 Freesurfer Brain C++, bash Automatic no 470 ITK no C++ Automatic Yes-no 512 Slicer3D No (Brain) C++ Manual- Automatic Yes 75 FSL Brain C++, bash Automatic No 690 SPM Brain matlab Automatic Yes 7574 pubmed … --- --- --- --- --- *: JAVA Bio-imaging Plugins system User friendly IMAGEJ 2D and 3D limitation No hierarchy in plugins ImgLib (n-dimensional, repackaging, sharing improvement) KMeans Color Quantization Color Picker Fiji Marching IMAGEJ2 Icy Threshold Learning Active Contours Squassh KMeans Clustering Texture Level Set Maximum Entropy Threshold HK-Means Graph Cut Maximum Multi Entropy Threshold Active Cells Bad Indexation: Seeded Region Growing Toolbox dithering as Snake. segmenation tool Brain Organ specific Fully automatic FreeSurfer Allow to restart at divergent steps. Both available Fully automatic through VIP Catalog of tools FSL BET ( Brain Extraction) FAST (GM and WM automated Segmentation). SPM Modified gaussian mixture model Need a matlab license.
    [Show full text]