RT Journal Article
SR Electronic
T1 A 3D Reconstruction Algorithm for Real-time Simultaneous Multi-Source EIT Imaging for Lung Function Monitoring
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.05.29.124222
DO 10.1101/2020.05.29.124222
A1 Tzu-Jen Kao
A1 Bruce Amm
A1 David Isaacson
A1 Jonathan Newell
A1 Gary Saulnier
A1 Jennifer L. Mueller
YR 2020
UL http://biorxiv.org/content/early/2020/05/31/2020.05.29.124222.abstract
AB Monitoring regional pulmonary ventilation and pulsatile perfusion changes in a 3D region of interest (ROI) of the lung is a promising application for electrical impedance tomography (EIT). This paper describes a 3D analytical reconstruction algorithm that was embedded in a prototype EIT system to enable a real-time image reconstruction at nearly 20 frames per second for monitoring impedance changes in the chest in real-time. The derivation and results of the 3D analytical forward solution and inverse solution and details of the real-time reconstruction algorithm are given. The algorithm and EIT system are validated with simulated data, in-vitro phantoms, and finally shown to be capable of imaging ventilation and pulsatile perfusion in human subjects. The human subject data was obtained using a high-precision, high-speed and simultaneous multiple current source (SMS-EIT) developed by GE Research. Data was collected using four rows of 8 electrodes for a healthy adult male subject and 2 rows of 16 electrodes for six healthy human female subjects, with one row placed above the breasts and a second row placed at the infra-mammary fold. Each of the female subjects performed a breathing maneuver with a volumetric incentive spirometer, and the volume of air inhaled was calculated from the EIT images. Pulsatile perfusion images were computed from this data, and regional lung filling was also analyzed.Competing Interest StatementThe authors have declared no competing interest.