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Optimization for Mu...
Optimization for Multi-Region Segmentation of Cardiac MRI
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- Ulén, Johannes (författare)
- Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Strandmark, Petter (författare)
- Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Kahl, Fredrik (författare)
- Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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Camara, Oscar (redaktör/utgivare)
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Konukoglu, Ender (redaktör/utgivare)
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Pop, Mihaela (redaktör/utgivare)
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Rhode, Kawal (redaktör/utgivare)
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Sermesant, Maxime (redaktör/utgivare)
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Young, Alistair (redaktör/utgivare)
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2011
- 2011
- Engelska 10 s.
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Ingår i: 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). - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1611-3349 .- 0302-9743. - 9783642283260 - 9783642283253 ; 7085, s. 129-138
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http://www.maths.lth... (free)
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http://dx.doi.org/10...
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http://www.maths.lth...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Matematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics (hsv//eng)
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- ref (ämneskategori)
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