Deep Learning based Detection and Tracking of the IVC in Ultrasound Scans
Roberta Stellino
Deep Learning based Detection and Tracking of the IVC in Ultrasound Scans.
Rel. Luca Mesin, Piero Policastro. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
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Abstract
This work of thesis originated within a start-up company, VIPER s.r.l., which was established as a research project of the Polytechnic of Turin, which developed a semi-automatic software to delineate and trace the displacements of the edges of the Inferior Vena Cava (IVC) not in a single direction, but in both transverse and longitudinal sections in ultrasound videos, meaning in a totally non-invasive way. This software allows the computation of different measurements, such as diameters, areas, Caval Index (CI) and so on, based on the assessment of the pulsatility of the IVC itself. These measurements can lead to the evaluation of the volemic state of a patient and the pressure present in the right atrium (Right Atrial Pressure, RAP), which are two different indicators that can be valuable in many fields of medicine, ranging from internal medicine, in order to distinct between hypovolaemic and euvolemic patients, to cardiology, for the evaluation and management of heart failure, and many more.
One limitation of this software is the impossibility of obtaining these measurements in real-time: in fact, at first the ultrasound video is obtained and only in post-processing the video can be elaborated, and all the measurements of interest therefore obtained
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