Giulia Cinicola
Inferior vena cava tracking in ultrasound videos.
Rel. Luca Mesin, Piero Policastro. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (13MB) | Preview |
Abstract
The inferior vena cava (IVC) is the largest vein in the human body that carries oxygen-poor blood from the lower part of the body to the right atrium of the heart. The objective of this study is to assess and compare tracking algorithms of OpenCV library to determine the most effective approach for tracking IVC in ultrasound (US) videos. Tracking is used to follow the movement of the vein, providing a complete view of the IVC's position, leading to the identification of respiratory movements and the assessment of diameter variations induced by them. The algorithms chosen for tracking are Lucas-Kanade, KCF, MIL, TLD, MOSSE, Median Flow, Mean Shift, Block Matching, Boosting, ORB and CSRT.
These algorithms are widely used for pedestrian and vehicle tracking in traffic surveillance and people recognition in crowded environments
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
