Genetic algorithm based l4 identification and Psoas segmentation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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%.

Original languageEnglish (US)
Title of host publicationBIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
EditorsAlexandre Douplik, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages120-127
Number of pages8
ISBN (Electronic)9789897584909
StatePublished - 2021
Event8th International Conference on Bioimaging, BIOIMAGING 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 - Virtual, Online
Duration: Feb 11 2021Feb 13 2021

Publication series

NameBIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

Conference

Conference8th International Conference on Bioimaging, BIOIMAGING 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
CityVirtual, Online
Period2/11/212/13/21

Keywords

  • Edge linking
  • Genetic algorithm
  • L4 identification
  • Psoas muscle
  • Region growing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

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