Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI

Autism Spectrum Disorder, ASD, is prevalent lifelong mental disorder associated with difficulties i n s ocial interaction, communication skills, and behavioral patterns. Numerous studies were presented suggesting abnormal development of neural networks in the brain in shape and connectivity. Magneti...

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Bibliographic Details
Published in2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) pp. 447 - 452
Main Authors ElNakieb, Yaser, Ali, Mohamed T., Dekhil, Omar, Khalefa, Mohamed E., Soliman, Ahmed, Shalaby, Ahmed, Mahmoud, Ali, Ghazal, Mohamed, Hajjdiab, Hassan, Elmaghraby, Adel, Keynton, Robert, Barnes, Gregory, El-Baz, Ayman
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Autism
Computeraided detection and diagnosis (CAD)
Diffusion tensor imaging
DTI
Feature extraction
Functional imaging (e.g. fMRI)
Functional magnetic resonance imaging
Pipelines
White matter
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DOI10.1109/ISSPIT.2018.8642639

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Summary:Autism Spectrum Disorder, ASD, is prevalent lifelong mental disorder associated with difficulties i n s ocial interaction, communication skills, and behavioral patterns. Numerous studies were presented suggesting abnormal development of neural networks in the brain in shape and connectivity. Magnetic resonance imaging, MRI, is used to diagnose the structural (i.e., sMRI) the functionality (i.e., fMRI) of gray matter and connectivity of the white matter (WM), using diffusion tensor imaging, DTI. The goal of this paper is to integrate these perspective to allow a comprehensive and personalized computer aided diagnostic (CAD) for ASD patients.
DOI:10.1109/ISSPIT.2018.8642639