English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Automatic labelling of the human cortical surface using sulcal basins

Lohmann, G., & von Cramon, D. (2000). Automatic labelling of the human cortical surface using sulcal basins. Medical Image Analysis, 4(3), 179-188. doi:10.1016/S1361-8415(00)00024-4.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-AF58-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-AF59-3
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Lohmann, G1, Author              
von Cramon, DY, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Human brain mapping aims at establishing correspondences between brain function and brain anatomy. One of the most intriguing problems in this field is the high interpersonal variability of human neuroanatomy which makes studies across many subjects very difficult. The cortical folds (‘sulci’) often serve as landmarks that help to establish correspondences between subjects. In this paper, we will present a method that automatically detects and attributes neuroanatomical names to the cortical folds using image analysis methods applied to magnetic resonance data of human brains. We claim that the cortical folds can be subdivided into a number of substructures which we call sulcal basins. The concept of sulcal basins allows us to establish a complete parcellation of the cortical surface into separate regions. These regions are neuroanatomically meaningful and can be identified from MR data sets across many subjects. Sulcal basins are segmented using a region growing approach. The automatic labelling is achieved by a model matching technique.

Details

show
hide
Language(s):
 Dates: 2000-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/S1361-8415(00)00024-4
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Medical Image Analysis
  Other : Med. Image Anal.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Elsevier
Pages: - Volume / Issue: 4 (3) Sequence Number: - Start / End Page: 179 - 188 Identifier: ISSN: 1361-8415
CoNE: https://pure.mpg.de/cone/journals/resource/954927741859