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Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • de Bruijne, Marleen
  • Bram van Ginneken
  • Lambertus W. Bartels
  • Maarten J. van der Laan
  • Jan D. Blankensteijn
  • Wiro J. Niessen
  • Max. A. Viergever
An automated method for segmenting the outer boundary of abdominal aortic aneurysms in MR images is presented. The method is based on the well known Active Shape Models (ASM), which fit a global landmark-based shape model on the basis of local boundary appearance models. The original three-dimensional ASM scheme is modified to deal with multi-spectral image information and inconsistent boundary appearance in a principled way, with only a limited amount of training data. In addition, a framework for user interaction is proposed. If required, the obtained segmentation can be corrected in an interactive manner by indicating points on the desired boundary.
The methods are evaluated in leave-one-out experiments on 21 datasets. A segmentation scheme combining gray level information from two or three MR sequences produces significantly better results than a single-scan model. Average volume errors with respect to the manual segmentation are 4.0%, in 19 out of 21 datasets. In the cases in which the obtained error is large, results can easily be improved using the interactive scheme.
OriginalsprogEngelsk
TitelMedical Image Computing and Computer-Assisted Intervention - MICCAI
Forlag<Forlag uden navn>
Publikationsdato2003
Sider538-545
ISBN (Trykt)978-3-540-20464-0
DOI
StatusUdgivet - 2003
Eksternt udgivetJa
BegivenhedInternational Conference in Medical Image Computing and Computer-Assisted Intervention (MICCAI) - Montreal, Canada
Varighed: 29 nov. 2010 → …
Konferencens nummer: 6

Konference

KonferenceInternational Conference in Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Nummer6
LandCanada
ByMontreal
Periode29/11/2010 → …
NavnLecture notes in computer science
Vol/bind2879/2003
ISSN0302-9743

ID: 5555723