A robust approach for the detection of brain tumors by variational b-spline level-set method and brain extraction

Author

Bara, Samir ; El Maia, Hasan ; Hammouch, Ahmed ; Aboutajdine, Driss

Author_Institution

LRIT, Univ. of Mohammed V, Agdal, Morocco

fYear

2014

fDate

14-16 April 2014

Firstpage

62

Lastpage

68

Abstract

Medical image segmentation, as an application of image segmentation, is to extract some anatomical structures from various medical image modalities. The idea is to isolate the contours of the tumor subsequently to characterize. After detecting the outline, we will have to set a margin inside and outside of the tumor. So we have a band around the tumor: a healthy part and a cancerous part. The context of our study is based particularly on the diagnosis of brain tumors.

Keywords

biomedical MRI; brain; image segmentation; medical image processing; splines (mathematics); tumours; anatomical structure extraction; brain extraction; brain tumor detection; brain tumor diagnosis; medical image modality; medical image segmentation; variational b-spline level-set method; Biomedical imaging; Equations; Image segmentation; Magnetic resonance imaging; Motion segmentation; Tumors; B-Spline Level-Set; MRI images; brain tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2014 International Conference on

Conference_Location

Marrakech

Print_ISBN

978-1-4799-3823-0

Type

conf

DOI

10.1109/ICMCS.2014.6911406

Filename

6911406