A radiological-based coordinate system for the human body: A proof-of-concept Conference Paper


Authors: Bucho, T. M. T.; Boellaard, T. N.; Taveira, M.; Bodalal, Z.; Nguyen-Kim, T. D. L.; Beets-Tan, R.; Trebeschi, S.
Title: A radiological-based coordinate system for the human body: A proof-of-concept
Conference Title: 27th International Conference of the Medical Image Computing and Computer Assisted Intervention (MICCAI 2024)
Abstract: This study develops a self-supervised Siamese model to predict the relative positions of patches from thoraco-abdominal CT scans, creating an explicit 3D universal coordinate system (UCS) for the human body. The model is evaluated through experiments on body part localization, landmark detection, and longitudinal lesion tracking. Despite the moderate performance of the UCS in these experiments, this model provides a proof-of-concept system for standardized anatomical coordinates. Such a system enables robust identification and comparison of anatomical structures across different individuals and longitudinally. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Keywords: proof of concept; coordinate system; ct scans; ct-scan; self-supervision; body parts; co-ordinate system; human bodies; landmark detection; on-body; parts localization; relative positions
Journal Title Lecture Notes in Computer Science
Volume: 15401 LNCS
Conference Dates: 2024 Oct 6-10
Conference Location: Marrakesh, Morocco
ISBN: 0302-9743
Publisher: Springer  
Date Published: 2025-01-01
Start Page: 101
End Page: 110
Language: English
DOI: 10.1007/978-3-031-84525-3_9
PROVIDER: scopus
DOI/URL:
Notes: This paper was published in a conference book with ISBN: 978-3-031-72082-6 -- Source: Scopus
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