Quantification of posterior fossa structures in fetal brain MR images

P. Moeskops; Shouliang Qi; J.W. Triest, van; Jun Zhang; Yan Kang

doi:10.1109/WCICA.2010.5554361

Quantification of posterior fossa structures in fetal brain MR images

P. Moeskops, Shouliang Qi, J.W. Triest, van, Jun Zhang, Yan Kang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper describes results for an ongoing research on the segmentation of the posterior fossa and the structures it contains in fetal brain MR images. A semi-automatic segmentation algorithm based on Dijkstra’s algorithm and a fast marching level set method is suggested. The algorithm has been tested on a small number of images and compared to manual segmentations done by experts. It shows reasonable results, but a more elaborate study with more data is needed to statistically evaluate the proposed algorithm.

Original language	English
Title of host publication	Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA 2010), 7-9 July 2010, Jinan, China
Pages	1-6
DOIs	https://doi.org/10.1109/WCICA.2010.5554361
Publication status	Published - 2010

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title = "Quantification of posterior fossa structures in fetal brain MR images",

abstract = "This paper describes results for an ongoing research on the segmentation of the posterior fossa and the structures it contains in fetal brain MR images. A semi-automatic segmentation algorithm based on Dijkstra{\textquoteright}s algorithm and a fast marching level set method is suggested. The algorithm has been tested on a small number of images and compared to manual segmentations done by experts. It shows reasonable results, but a more elaborate study with more data is needed to statistically evaluate the proposed algorithm.",

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Quantification of posterior fossa structures in fetal brain MR images. / Moeskops, P.; Qi, Shouliang; Triest, van, J.W.; Zhang, Jun; Kang, Yan.

Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA 2010), 7-9 July 2010, Jinan, China. 2010. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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