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An accurate detection of anatomical structures in electrical impedance tomography (EIT) is still at an early stage. Aorta detection in EIT is of special interest, since it would favor non-invasive assessment of hemodynamic processes in the body. Here, diverse EIT reconstruction parameters of the GREIT algorithm were systematically evaluated to detect the aorta after saline bolus injection in apnea. True aorta position and size were taken from computed tomography (CT). A comparison with CT showed that the smallest error for aorta displacement was attained for noise figure  nf  = 0.7, weighting radius  rw  = 0.15, and target size  ts  = 0.01. The spatial extension of the aorta was most precise for  nf  = 0.7,  rw  = 0.25, and  ts  = 0.07. Detection accuracy (F1-score) was highest with  nf  = 0.6,  rw  = 0.15, and  ts  = 0.04. This work provides algorithm-related evidence for potentially accurate aorta detection in EIT after injection of a saline bolus.

Evaluation of reconstruction parameters of electrical impedance tomography on aorta detection during saline bolus injection