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 |