Difference between revisions of "Publications/gasnault.21.seminar"

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(Created page with "{{CSIReport | authors = Louis Gasnault | title = Brain MRI segmentation using mathematical morphology | year = 2021 | number = 2119 | abstract = ... Insert an abstract in Engl...")
 
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| year = 2021
 
| year = 2021
 
| number = 2119
 
| number = 2119
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| abstract = Brain development can be evaluate using brain Magnetic Resonance Imaging (MRI). It is useful when a preterm birth occur to ensure no brain diseases develops during postnatal period. Such diseases can be visible on T2-weighted MR image as high signal intensity (DEHSI). To assess the presence of white matter hyperintensities, we will work on a new implementation of a robust, semi-automated framework, based on mathematical morphology, specialized on neonate brain segmentation. We will go though related works, the implementation of the different steps and the difficulties we encountered. By the end we did not finish our version but it is in good shape for further development.
| abstract = ... Insert an abstract in English here ...
 
 
| type = techreport
 
| type = techreport
 
| id = gasnault.21.seminar
 
| id = gasnault.21.seminar

Revision as of 07:24, 28 June 2021

Abstract

Brain development can be evaluate using brain Magnetic Resonance Imaging (MRI). It is useful when a preterm birth occur to ensure no brain diseases develops during postnatal period. Such diseases can be visible on T2-weighted MR image as high signal intensity (DEHSI). To assess the presence of white matter hyperintensities, we will work on a new implementation of a robust, semi-automated framework, based on mathematical morphology, specialized on neonate brain segmentation. We will go though related works, the implementation of the different steps and the difficulties we encountered. By the end we did not finish our version but it is in good shape for further development.