@inproceedings{a796ea19529e44a98a366c5916a84471,
title = "Genetic algorithm based l4 identification and Psoas segmentation",
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%.",
keywords = "Edge linking, Genetic algorithm, L4 identification, Psoas muscle, Region growing",
author = "Benjamin, {Namitha V.} and Boutin, {Robert D} and Chaudhari, {Abhijit J.} and Ma, {Kwan Liu}",
note = "Funding Information: The research in this paper was partially supported by National Institutes of Health under award number R01 AR076088. The authors would like tothank Dr. Stephen Henrichon of the University of California, Davis, who provided access to scans as well as training on image interpretation. Funding Information: The research in this paper was partially supported by National Institutes of Health under award number R01 AR076088. The authors would like to thank Dr. Stephen Henrichon of the University of California, Davis, who provided access to scans as well as training on image interpretation. Publisher Copyright: {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved; 8th International Conference on Bioimaging, BIOIMAGING 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 ; Conference date: 11-02-2021 Through 13-02-2021",
year = "2021",
language = "English (US)",
series = "BIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021",
publisher = "SciTePress",
pages = "120--127",
editor = "Alexandre Douplik and Ana Fred and Hugo Gamboa",
booktitle = "BIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021",
}