Title: | Integration of statistical spatial relations into Active Shape Model- Application to striatum segmentation in MRI |
Authors: | Ettaïeb, Saïd Mnassri, Besma Hamrouni, Kamel |
Citation: | WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 361-368. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf http://hdl.handle.net/11025/29724 |
ISBN: | 978-80-86943-58-9 |
ISSN: | 2464-4617 |
Keywords: | statistické předchozí znalosti;prostorový vztah;aktivní model tvaru;MRI |
Keywords in different language: | statistical a prior knowledge;spatial relations;active shape model;MRI |
Abstract: | This paper describes a new method based on Active Shape Model (ASM) and statistical spatial relations. It combines three types of a priori knowledge: the structures shapes, the distance and the angle variability between them. This knowledge is estimated during a training step. Then, the obtained models are used to guide the evolution of initial shapes during the segmentation step. The proposed method is applied to extract the striatum (Caudate nucleus and Putamen) on MR images of the brain. The obtained results are promising and show the performance of the proposed method. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2016: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Ettaïeb.pdf | Plný text | 988,28 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29724
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