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Authors: Aneta Lisowska 1 ; Erin Beveridge 2 ; Keith Muir 3 and Ian Poole 2

Affiliations: 1 Toshiba Medical Visualization Systems Europe Ltd. and Heriot-Watt University, United Kingdom ; 2 Toshiba Medical Visualization Systems Europe Ltd., United Kingdom ; 3 University of Glasgow, United Kingdom

ISBN: 978-989-758-215-8

Keyword(s): Convolutional Neural Network, Stroke, Thrombus, Non-contrast Computer Tomography (NCCT).

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Image Processing Methods ; Medical Imaging and Diagnosis

Abstract: Automatic detection and measurement of thrombi may expedite clinical workflow in the treatment planning stage. Nevertheless it is a challenging task on non-contrast computed tomography due to the subtlety of the pathological intensity changes, which are further confounded by the appearance of vascular calcification (common in ageing brains). In this paper we propose a 3D Convolutional Neural Network architecture to detect these subtle signs of stroke. The architecture is designed to exploit contralateral features and anatomical atlas information. We use 122 CT volumes equally split into training and testing to validate our method, achieving a ROC AUC of 0.996 and a Precision-Recall AUC of 0.563 in a voxel-level evaluation. The results are not yet at a level for routine clinical use, but they are encouraging.

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Paper citation in several formats:
Lisowska, A.; Beveridge, E.; Muir, K. and Poole, I. (2017). Thrombus Detection in CT Brain Scans using a Convolutional Neural Network.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017) ISBN 978-989-758-215-8, pages 24-33. DOI: 10.5220/0006114600240033

@conference{bioimaging17,
author={Aneta Lisowska. and Erin Beveridge. and Keith Muir. and Ian Poole.},
title={Thrombus Detection in CT Brain Scans using a Convolutional Neural Network},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={24-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006114600240033},
isbn={978-989-758-215-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)
TI - Thrombus Detection in CT Brain Scans using a Convolutional Neural Network
SN - 978-989-758-215-8
AU - Lisowska, A.
AU - Beveridge, E.
AU - Muir, K.
AU - Poole, I.
PY - 2017
SP - 24
EP - 33
DO - 10.5220/0006114600240033

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