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2D human pose estimation in the catheterization laboratory
Rick Butler, Teddy Vijfvinkel, Sjors van Riel, Chavdar Bachvarov, Jan Constandse, Maarten van der Elst, John van den Dobbelsteen, Benno Hendriks
Session: Poster Session 1 (Even numbers)
Session starts: Thursday 26 January, 16:00
Presentation starts: 16:00



Rick Butler (Delft University of Technology)
Teddy Vijfvinkel (Delft University of Technology, Reinier de Graaf Gasthuis)
Sjors van Riel (Philips Healthcare)
Chavdar Bachvarov (Philips Healthcare)
Jan Constandse (Reinier de Graaf Gasthuis)
Maarten van der Elst (Reinier de Graaf Gasthuis, Delft University of Technology)
John van den Dobbelsteen (Delft University of Technology)
Benno Hendriks (Philips Research, Delft University of Technology)


Abstract:
The field of workflow analysis aims to analyze limiting factors during medical procedures, and improve cost-efficiency and patient wellbeing [1, 2, 3]. We aim to automate Workflow Analysis in the Catheterization Laboratory (Cath Lab), where we recorded 300 Cardiac AngioGram procedures from 5 different viewpoints for this purpose. One feature that is very descriptive of personnel activity---and therefore workflow---are the positions and poses of people in the room over time [4, 5, 6, 7]. Therefore, we start by testing several pose detection algorithms [8, 9, 10] in a qualitative manner. We pick clinically interesting and technically challenging situations from our dataset and evaluate how each algorithm performs. We conclude with the up- and downsides of each algorithm, and a recommendation of which one to use in a clinical environment.