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.
| Original language | English |
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| Title of host publication | Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Proceedings |
| Editors | Anna Schroder, Xiang Li, Tanveer Syeda-Mahmood, Neil P. Oxtoby, Alexandra Young, Alessa Hering, Tejas S. Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi |
| Publisher | Springer Verlag |
| Pages | 101-110 |
| Number of pages | 10 |
| Volume | 15401 |
| ISBN (Electronic) | 978-3-031-84525-3 |
| ISBN (Print) | 9783031845246 |
| DOIs | |
| Publication status | E-pub ahead of print - 13 Apr 2025 |
| Event | MICCAI 2024 Workshops - Marrakesh, Morocco Duration: 6 Oct 2024 → 10 Oct 2024 https://conferences.miccai.org/2024/en/ |
Publication series
| Series | Lecture Notes in Computer Science |
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| Volume | 15401 LNCS |
| ISSN | 0302-9743 |
Workshop
| Workshop | MICCAI 2024 Workshops |
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| Country/Territory | Morocco |
| City | Marrakesh |
| Period | 6/10/24 → 10/10/24 |
| Internet address |
Keywords
- coordinate system
- CT scans
- self-supervision