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Authors: Zhen Tang 1 ; Sasan Mahmoodi 1 ; Angela Darekar 2 and Brigitte Vollmer 3

Affiliations: 1 School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K. ; 2 Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton So16 6YD, U.K. ; 3 Clinical Neurosciences and Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, SO17 1BJ, U.K.

Keyword(s): Hypoxic-Ischaemic Encephalopathy, Susceptibility-weighted Imaging, HOG, Motor, Cognitive Outcomes.

Abstract: The aim of this study is to analyse the susceptibility-weighted magnetic resonance images (SWI) by using Histogram of Oriented Gradients (HOG) as a global feature to identify areas of the neonatal brain affected by Hypoxic-ischaemic encephalopathy (HIE). 42 infants with neonatal HIE have undergone under SW imaging in the neonatal period and have been investigated through neurodevelopmental assessment at 24 months of age. HOG features are used to represent the whole brain SW images and the region of interest separated from the brain image registration algorithm. We use k-nearest neighbours (kNN) and random forest to classify the SWI images into normal and abnormal groups, and then we compare our results to our previous work. The result shows an effective classification, which achieved an accuracy of 76.25±10.9. Our research suggests that automated analysis of neonatal SWI images can identify brain regions affected by HIE on SWI images and predict motor and cognitive outcomes.

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Paper citation in several formats:
Tang, Z.; Mahmoodi, S.; Darekar, A. and Vollmer, B. (2022). Hypoxic-Ischaemic Encephalopathy Prognosis using Susceptibility Weighted Image Analysis based on Histogram Orientation Gradient. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 57-62. DOI: 10.5220/0010856800003123

@conference{biosignals22,
author={Zhen Tang. and Sasan Mahmoodi. and Angela Darekar. and Brigitte Vollmer.},
title={Hypoxic-Ischaemic Encephalopathy Prognosis using Susceptibility Weighted Image Analysis based on Histogram Orientation Gradient},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS},
year={2022},
pages={57-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010856800003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS
TI - Hypoxic-Ischaemic Encephalopathy Prognosis using Susceptibility Weighted Image Analysis based on Histogram Orientation Gradient
SN - 978-989-758-552-4
IS - 2184-4305
AU - Tang, Z.
AU - Mahmoodi, S.
AU - Darekar, A.
AU - Vollmer, B.
PY - 2022
SP - 57
EP - 62
DO - 10.5220/0010856800003123
PB - SciTePress