Genetic Algorithm based L4 Identification and Psoas Segmentation

Namitha V. Benjamin, Robert D. Boutin, Abhijit J. Chaudhari, Kwan-Liu Ma

2021

Abstract

Segmentation of the Psoas muscle is an important first step in identifying sarcopenia. Physicians use computed tomography (CT) images to track changes in muscle mass, which, in turn, act as indicators of how well a patient is responding to treatment. To measure the muscle, a radiologist segments a CT manually. This is often time consuming task and can be prone to error. In this paper we propose a novel method to segment psoas muscles from abdominal CT images. The novel approach uses imaging techniques augmented with medical anatomic knowledge. The outcome of the algorithm is two fold; first, the 4th lumbar vertebra (L4) is identified from a series of CT images. Second, the psoas muscle in the identified slice, is segmented based on a genetic algorithm based edge linking method. The algorithm was applied to a series of datasets of 61 patients over the age of 65 with hip fractures, and we obtained an average match (true positive percentage) of 91%.

Paper Citation

in Harvard Style

Benjamin N., Boutin R., Chaudhari A. and Ma K. (2021). Genetic Algorithm based L4 Identification and Psoas Segmentation. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING; ISBN 978-989-758-490-9, SciTePress, pages 120-127. DOI: 10.5220/0010207700002865

in Bibtex Style

@conference{bioimaging21,
author={Namitha V. Benjamin and Robert D. Boutin and Abhijit J. Chaudhari and Kwan-Liu Ma},
title={Genetic Algorithm based L4 Identification and Psoas Segmentation},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING},
year={2021},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010207700002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING
TI - Genetic Algorithm based L4 Identification and Psoas Segmentation
SN - 978-989-758-490-9
AU - Benjamin N.
AU - Boutin R.
AU - Chaudhari A.
AU - Ma K.
PY - 2021
SP - 120
EP - 127
DO - 10.5220/0010207700002865
PB - SciTePress