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231223s2008 xx ||||| 00| ||eng c |
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|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Sun, Walter
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Learning the dynamics and time-recursive boundary detection of deformable objects
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| 264 |
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|c 2008
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 09.12.2008
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|a Date Revised 27.10.2019
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmentation across a cardiac cycle. The approach involves a technique for learning the system dynamics together with methods of particle-based smoothing as well as nonparametric belief propagation on a loopy graphical model capturing the temporal periodicity of the heart. The dynamic system state is a low-dimensional representation of the boundary, and the boundary estimation involves incorporating curve evolution into recursive state estimation. By formulating the problem as one of state estimation, the segmentation at each particular time is based not only on the data observed at that instant, but also on predictions based on past and future boundary estimates. Although this paper focuses on left ventricle segmentation, the method generalizes to temporally segmenting any deformable object
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
1 |
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|a Cetin, Müjdat
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chan, Raymond
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Willsky, Alan S
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 17(2008), 11 vom: 15. Nov., Seite 2186-200
|w (DE-627)NLM09821456X
|x 1057-7149
|7 nnns
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| 773 |
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|g volume:17
|g year:2008
|g number:11
|g day:15
|g month:11
|g pages:2186-200
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|d 17
|j 2008
|e 11
|b 15
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