Publications

@conference{Yahia2023,

title = {A new approach for monitoring disease progression in Multiple Sclerosis Lesions using 3D Magnetic Brain Image},

author = {S. Yahia and Y. Ben Salem and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182934544\&doi=10.1109%2fIW_MSS59200.2023.10368989\&partnerID=40\&md5=1db63676e6dd4ef5f174eddba821b57a},

doi = {10.1109/IW_MSS59200.2023.10368989},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Multiple Sclerosis (MS) lesions is a chronic autoimmune inflammatory disease that affects the nerves in the spinal cord and the brain. Magnetic Resonance Imaging (MRI) is a successful, highly sensitive MS lesion diagnostic technique. It is used to monitor the activity and progression of this disease. Monitoring the progression of multiple sclerosis (MS) is crucial for timely intervention and treatment adjustments, as it can help improve patients' quality of life and contribute to ongoing research efforts to better understand the disease. This paper uses two techniques to monitor MS lesions progression: the Decimal Descriptor Pattern (DDP) and the Local Binary Pattern (LBP). These operators are used to extract the most important features and to characterize the properties of the structures in the brain. 3D MRI brain are described using a collection of orthogonal planes. We have developed an extension to the DDP descriptor to improve the performance in MS evolution. Our results are proof that our approach is effective and fast. © 2023 IEEE.},

note = {cited By 0},

keywords = {3d magnetic resonance image; Brain images; Descriptors; Disease progression; Features extraction; Multiple sclerose lesion evolution; Multiple sclerosis; Multiple sclerosis lesions; New approaches; Orthogonal plane, Brain mapping; Diagnosis; Diseases; Local binary pattern; Patient treatment, Magnetic resonance imaging},

pubstate = {published},

tppubtype = {conference}

}