Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models
Author
Source
International Journal of Biomedical Imaging
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents a novel method for Glioblastoma (GBM) feature extraction based on Gaussian mixture model (GMM) features using MRI.
We addressed the task of the new features to identify GBM using T1 and T2 weighted images (T1-WI, T2-WI) and Fluid-Attenuated Inversion Recovery (FLAIR) MR images.
A pathologic area was detected using multithresholding segmentation with morphological operations of MR images.
Multiclassifier techniques were considered to evaluate the performance of the feature based scheme in terms of its capability to discriminate GBM and normal tissue.
GMM features demonstrated the best performance by the comparative study using principal component analysis (PCA) and wavelet based features.
For the T1-WI, the accuracy performance was 97.05% (AUC = 92.73%) with 0.00% missed detection and 2.95% false alarm.
In the T2-WI, the same accuracy (97.05%, AUC = 91.70%) value was achieved with 2.95% missed detection and 0.00% false alarm.
In FLAIR mode the accuracy decreased to 94.11% (AUC = 95.85%) with 0.00% missed detection and 5.89% false alarm.
These experimental results are promising to enhance the characteristics of heterogeneity and hence early treatment of GBM.
American Psychological Association (APA)
Chaddad, Ahmad. 2015. Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models. International Journal of Biomedical Imaging،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1065286
Modern Language Association (MLA)
Chaddad, Ahmad. Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models. International Journal of Biomedical Imaging No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1065286
American Medical Association (AMA)
Chaddad, Ahmad. Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models. International Journal of Biomedical Imaging. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1065286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065286