Overview of statistical shape models for cardiac image analysis and modeling
15 mins 41 secs,
82.04 MB,
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| Description: |
Frangi, A (Pompeu Fabra)
Thursday 23 July 2009, 10:15-10:30 |
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| Created: | 2009-07-24 20:49 | ||
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| Collection: | Cardiac Physiome Project | ||
| Publisher: | Isaac Newton Institute | ||
| Copyright: | Frangi, A (Pompeu Fabra) | ||
| Language: | eng (English) | ||
| Distribution: |
World
(downloadable)
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| Credits: |
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| Explicit content: | No | ||
| Aspect Ratio: | 4:3 | ||
| Screencast: | No | ||
| Bumper: | UCS Default | ||
| Trailer: | UCS Default | ||
| Abstract: | This talk will overview the cardiac image analysis and statistical modeling work at Universitat Pompeu Fabra. In particular, we will cover in some detail and point to to key references of our work concerning spatio-temporal statistical cardiac models and application of these models to the analysis of MR, SPECT, 3DUS and CARTO data. The use of registration-based strategies for automatically constructing point distribution models from large databases together with methods for generating automatically the appearance in multimodal data allow us to efficiently construct model-based approaches to image analysis and populational modeling. We show that it is possible to use these methods for consistently handling multimodal data and, hence, allow for consistently mapping information coming from multiple sources in the same coordinate system. |
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