Change search
ReferencesLink to record
Permanent link

Direct link
Automatic Fontanel Extraction from Newborns' CT Images Using Variational Level set
Shiraz University of Technology.
K.N. Toosi University of Technology.
Shiraz University of Technology.
Shiraz University of Technology.ORCID iD: 0000-0003-1569-3527
Show others and affiliations
2009 (English)In: COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS / [ed] Jiang, X, Petkov, N, Springer Berlin/Heidelberg, 2009, 639-646 p.Conference paper (Refereed)
Abstract [en]

A realistic head model is needed for source localization methods used for the study of epilepsy in neonates applying Electroencephalographic (EEG) measurements from the scalp. The earliest models consider the head as a series of concentric spheres, each layer corresponding to a different tissue whose conductivity is assumed to be homogeneous. The results of the source reconstruction depend highly on the electric conductivities of the tissues forming the head.The most used model is constituted of three layers (scalp, skull, and intracranial). Most of the major bones of the neonates’ skull are ossified at birth but can slightly move relative to each other. This is due to the sutures, fibrous membranes that at this stage of development connect the already ossified flat bones of the neurocranium. These weak parts of the neurocranium are called fontanels. Thus it is important to enter the exact geometry of fontaneles and flat bone in a source reconstruction because they show pronounced in conductivity. Computer Tomography (CT) imaging provides an excellent tool for non-invasive investigation of the skull which expresses itself in high contrast to all other tissues while the fontanels only can be identified as absence of bone, gaps in the skull formed by flat bone. Therefore, the aim of this paper is to extract the fontanels from CT images applying a variational level set method. We applied the proposed method to CT-images of five different subjects. The automatically extracted fontanels show good agreement with the manually extracted ones.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009. 639-646 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5702
Keyword [en]
newborns, fontanel, source reconstruction, level set, segmentation.
National Category
Medical Image Processing
URN: urn:nbn:se:kth:diva-91215DOI: 10.1007/978-3-642-03767-2_78ISI: 000273458100078ISBN: 978-3-642-03766-5OAI: diva2:508839
13th International Conference on Computer Analysis of Images and Patterns. Munster, GERMANY. SEP 02-04, 2009

QC 20120312

Available from: 2012-03-09 Created: 2012-03-09 Last updated: 2014-12-03Bibliographically approved

Open Access in DiVA

fulltext(278 kB)39 downloads
File information
File name FULLTEXT01.pdfFile size 278 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textThe final publication is available at

Search in DiVA

By author/editor
Tarighati, Alla
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 39 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 78 hits
ReferencesLink to record
Permanent link

Direct link