Automatic Spine Segmentation in CT Scans

Gabor Revy; Daniel Hadhazi; Gabor Hullam

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Paper

Automatic Spine Segmentation in CT Scans

Topics: Image Processing Methods; Medical Imaging and Diagnosis

In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSTEC, 86-93, 2023 , Lisbon, Portugal

Authors: Gabor Revy ; Daniel Hadhazi and Gabor Hullam

Affiliation: Department of Measurement and Information Systems, Muegyetem rkp. 3., H-1111 Budapest, Hungary

Keyword(s): Spine Segmentation, Image Processing, CT, Dynamic Programming.

Abstract: The segmentation of the spine can be an essential step in computer-aided diagnosis. Current methods aiming to handle this problem generally employ an explicit model of some type. However, to create an adequately robust model, a high amount of properly labeled diverse data is required. This is not always accessible. In this research, we suggest an explicit model-free algorithm for spine segmentation. Our approach utilizes expert algorithms that are built on medical expert knowledge to create a spine segmentation from thoracic CT scans. Our system achieves an IoU (intersection over union) value of 0.7103±0.051 (mean±std) and a DSC (Dice similarity coefficient) of 0.8295±0.0343 on a subset of the CTSpine1K dataset.

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Paper citation in several formats:

Revy, G.; Hadhazi, D. and Hullam, G. (2023). Automatic Spine Segmentation in CT Scans. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 86-93. DOI: 10.5220/0011660000003414

@conference{bioimaging23,
author={Gabor Revy. and Daniel Hadhazi. and Gabor Hullam.},
title={Automatic Spine Segmentation in CT Scans},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING},
year={2023},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011660000003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING
TI - Automatic Spine Segmentation in CT Scans
SN - 978-989-758-631-6
IS - 2184-4305
AU - Revy, G.
AU - Hadhazi, D.
AU - Hullam, G.
PY - 2023
SP - 86
EP - 93
DO - 10.5220/0011660000003414
PB - SciTePress