Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging

Guillaume Noyel; Jesus Angulo; Dominique Jeulin; D. Balvay; C. A. Cuénod

doi:10.1109/ISBI.2008.4541297

Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging

Guillaume Noyel ¹ Jesus Angulo ¹ Dominique Jeulin ¹ D. Balvay ^{2, 3} C. A. Cuénod ^{2, 3}

1 CMM - Centre de Morphologie Mathématique

2 LRI-EA4062

3 Service de radiologie (AP-HP - HEGP)

Abstract : Segmenting dynamic contrast enhanced-MRI series of small animal, which are intrinsically noisy and low contrasted images with low resolution, is the aim of this paper. To do this, a segmentation method taking into account the temporal (spectral) and spatial information is presented on several series. The idea is to start from a temporal classification, and to build a probability density function of contours conditionally to this classification. Then, this function is segmented to find potentially tumorous areas. The method is presented on several series after a range normalization histogram in order to compare the series.

Keywords : angiogenesis imaging image enhancement filtering theory image classification Dynamic Contrast Enhanced MRI image segmentation mathematical morphology medical image processing segmentation Multivariate images hyperspectral images probability tumours biomedical MRI blood vessels cancer edge detection

Type de document :

Communication dans un congrès

5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), May 2008, Paris, France. IEEE, 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008, pp.1517-1520, 2008, 〈10.1109/ISBI.2008.4541297〉

Domaine :

Informatique [cs] / Imagerie médicale

Sciences du Vivant [q-bio] / Ingénierie biomédicale / Imagerie

Informatique [cs] / Traitement des images

Sciences du Vivant [q-bio] / Cancer

Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-00834030
Contributeur : Guillaume Noyel <>
Soumis le : mardi 23 mai 2017 - 09:39:00
Dernière modification le : lundi 12 novembre 2018 - 10:54:17
Document(s) archivé(s) le : vendredi 25 août 2017 - 00:15:40

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Fichiers produits par l'(les) auteur(s)

Guillaume Noyel, Jesus Angulo, Dominique Jeulin, D. Balvay, C. A. Cuénod. Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), May 2008, Paris, France. IEEE, 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008, pp.1517-1520, 2008, 〈10.1109/ISBI.2008.4541297〉. 〈hal-00834030v2〉

Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging

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Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging

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