2018 | OriginalPaper | Buchkapitel
A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI
Autoren: Mohamed Amine Larhmam, Saïd Mahmoudi, Stylianos Drisis, Mohammed Benjelloun
Erschienen in:
Bioinformatics and Biomedical Engineering
Abstract
This paper presents a learning based approach for the classification of pathological vertebrae. The proposed method is applied to spine metastasis, a malignant tumor that develops inside bones and requires a rapid diagnosis for an effective treatment monitoring. We used multiple texture analysis techniques to extract useful features from two co-registered MR images sequences (T1, T2). These MRIs are part of a diagnostic protocol for vertebral metastases follow up. We adopted a slice by slice MRI analysis of 153 vertebra region of interest. Our method achieved a classification accuracy of \(90.17\% \pm 5.49\), using only a subset of 67 relevant selected features from the initial 142.
