Optimization for Multi-Region Segmentation of Cardiac MRI
Author
Editor
- Oscar Camara
- Ender Konukoglu
- Mihaela Pop
- Kawal Rhode
- Maxime Sermesant
- Alistair Young
Summary, in English
We introduce a new multi-region model for simultaneous segmentation of the left and right ventricles, myocardium and the left ventricular papillary muscles in MRI. The model enforces geometric constraints such as inclusion and exclusion between the regions, which makes it possible to correctly segment different regions even though the intensity distributions are identical. We efficiently optimize the model using Lagrangian duality which is faster and more memory efficient than current state of the art. As the optimization is based on global techniques, the resulting segmentations are independent of initialization. We evaluate our approach on two benchmarks with competitive results.
Department/s
- Mathematics (Faculty of Engineering)
- Mathematical Imaging Group
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Publishing year
2011
Language
English
Pages
129-138
Publication/Series
Lecture Notes in Computer Science (Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers)
Volume
7085
Links
Document type
Conference paper
Publisher
Springer
Topic
- Computer Vision and Robotics (Autonomous Systems)
- Mathematics
Conference name
MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges 2011
Conference date
2011-09-22
Conference place
Toronto, Canada
Status
Published
Research group
- Mathematical Imaging Group
ISBN/ISSN/Other
- ISSN: 1611-3349
- ISSN: 0302-9743
- ISBN: 978-3-642-28326-0
- ISBN: 978-3-642-28325-3 (print)