Literature DB >> 10770229

Lesion segmentation and manual warping to a reference brain: intra- and interobserver reliability.

J A Fiez1, H Damasio, T J Grabowski.   

Abstract

The study of subjects with acquired brain damage has been an invaluable tool for exploring human brain function, and the description of lesion locations within and across subjects is an important component of this method. Such descriptions usually involve the separation of lesioned from nonlesioned tissue (lesion segmentation) and the description of the lesion location in terms of a standard anatomical reference space (lesion warping). The objectives of this study were to determine the sources and magnitude of variability involved in lesion segmentation and warping using the MAP-3 approach. Each of two observers segmented the lesion volume in ten brain-damaged subjects twice, so as to permit pairwise comparisons of both intra- and interobserver agreement. The segmented volumes were then warped to a reference brain using both a manual (MAP-3) and an automated (AIR-3) technique. Observer agreement between segmented and warped volumes was analyzed using four measures: volume size, distance between the volume surfaces, percentage of nonoverlapping voxels, and percentage of highly discrepant voxels. The techniques for segmentation and warping produced high agreement within and between observers. For example, in most instances, the warped volume surfaces created by different observers were separated by less than 3 mm. The performance of the automated warping technique compared favorably to the manual technique in most subjects, although important exceptions were found. Overall, these results establish benchmark parameters for expert and automated lesion transfer, and indicate that a high degree of confidence can be placed in the detailed anatomical interpretation of focal brain damage based upon the MAP-3 technique.

Entities:  

Mesh:

Year:  2000        PMID: 10770229      PMCID: PMC6871916          DOI: 10.1002/(sici)1097-0193(200004)9:4<192::aid-hbm2>3.0.co;2-y

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  23 in total

1.  Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software.

Authors:  P Dastidar; T Heinonen; T Vahvelainen; I Elovaara; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Plastic transformation of PET images.

Authors:  K J Friston; C D Frith; P F Liddle; R S Frackowiak
Journal:  J Comput Assist Tomogr       Date:  1991 Jul-Aug       Impact factor: 1.826

3.  A neural basis for the retrieval of conceptual knowledge.

Authors:  D Tranel; H Damasio; A R Damasio
Journal:  Neuropsychologia       Date:  1997-10       Impact factor: 3.139

4.  Improved CT diagnosis of acute middle cerebral artery territory infarcts with density-difference analysis.

Authors:  M Bendszus; H Urbach; B Meyer; R Schultheiss; L Solymosi
Journal:  Neuroradiology       Date:  1997-02       Impact factor: 2.804

5.  Three-dimensional linear and nonlinear transformations: an integration of light microscopical and MRI data.

Authors:  T Schormann; K Zilles
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

6.  Brainvox: an interactive, multimodal visualization and analysis system for neuroanatomical imaging.

Authors:  R J Frank; H Damasio; T J Grabowski
Journal:  Neuroimage       Date:  1997-01       Impact factor: 6.556

7.  Intra- and inter-observer agreement of brain MRI lesion volume measurements in multiple sclerosis. A comparison of techniques.

Authors:  M Filippi; M A Horsfield; S Bressi; V Martinelli; C Baratti; P Reganati; A Campi; D H Miller; G Comi
Journal:  Brain       Date:  1995-12       Impact factor: 13.501

8.  Brain tumor segmentation and characterization by pattern analysis of multispectral NMR images.

Authors:  H Soltanian-Zadeh; D J Peck; J P Windham; T Mikkelsen
Journal:  NMR Biomed       Date:  1998 Jun-Aug       Impact factor: 4.044

9.  The pattern of motor deficits in relation to the site of stroke lesions.

Authors:  E Kunesch; F Binkofski; H Steinmetz; H J Freund
Journal:  Eur Neurol       Date:  1995       Impact factor: 1.710

10.  Lesion localization in aphasia with cranial computed tomography and the Boston Diagnostic Aphasia Exam.

Authors:  M A Naeser; R W Hayward
Journal:  Neurology       Date:  1978-06       Impact factor: 9.910

View more
  53 in total

1.  Lesion network mapping demonstrates that mind-wandering is associated with the default mode network.

Authors:  Carissa L Philippi; Joel Bruss; Aaron D Boes; Fatimah M Albazron; Carolina Deifelt Streese; Elisa Ciaramelli; David Rudrauf; Daniel Tranel
Journal:  J Neurosci Res       Date:  2020-06-28       Impact factor: 4.164

2.  Comparison of spatial normalization procedures and their impact on functional maps.

Authors:  Fabrice Crivello; Thorsten Schormann; Nathalie Tzourio-Mazoyer; Per E Roland; Karl Zilles; Bernard M Mazoyer
Journal:  Hum Brain Mapp       Date:  2002-08       Impact factor: 5.038

Review 3.  [Mrt-based morphometry. A current assessment].

Authors:  M Tittgemeyer; D Y von Cramon
Journal:  Nervenarzt       Date:  2004-12       Impact factor: 1.214

4.  Foibles, follies, and fusion: web-based collaboration for medical image labeling.

Authors:  Bennett A Landman; Andrew J Asman; Andrew G Scoggins; John A Bogovic; Joshua A Stein; Jerry L Prince
Journal:  Neuroimage       Date:  2011-08-02       Impact factor: 6.556

5.  Automated segmentation of the canine corpus callosum for the measurement of diffusion tensor imaging.

Authors:  David E Peterson; Steven D Chen; Evan Calabrese; Leonard E White; James M Provenzale
Journal:  Neuroradiol J       Date:  2015-11-17

6.  Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis.

Authors:  Dorian Pustina; H Branch Coslett; Peter E Turkeltaub; Nicholas Tustison; Myrna F Schwartz; Brian Avants
Journal:  Hum Brain Mapp       Date:  2016-01-12       Impact factor: 5.038

7.  Localizing interference during naming: convergent neuroimaging and neuropsychological evidence for the function of Broca's area.

Authors:  Tatiana T Schnur; Myrna F Schwartz; Daniel Y Kimberg; Elizabeth Hirshorn; H Branch Coslett; Sharon L Thompson-Schill
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-31       Impact factor: 11.205

8.  Thresholding lesion overlap difference maps: application to category-related naming and recognition deficits.

Authors:  David Rudrauf; Sonya Mehta; Joel Bruss; Daniel Tranel; Hanna Damasio; Thomas J Grabowski
Journal:  Neuroimage       Date:  2007-12-27       Impact factor: 6.556

9.  The left temporal pole is a convergence region mediating the relation between names and semantic knowledge for unique entities: Further evidence from a "recognition-from-name" study in neurological patients.

Authors:  Brett Schneider; Jonah Heskje; Joel Bruss; Daniel Tranel; Amy M Belfi
Journal:  Cortex       Date:  2018-09-10       Impact factor: 4.027

10.  Damage to association fiber tracts impairs recognition of the facial expression of emotion.

Authors:  Carissa L Philippi; Sonya Mehta; Thomas Grabowski; Ralph Adolphs; David Rudrauf
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.