Title :
A real-time electrical impedance tomograph
Author :
Edic, Peter M. ; Saulnier, Gary J. ; Newell, Jonathan C. ; Isaacson, David
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Electrical properties of tissues in the human body can be imaged using a technology known as Electrical Impedance Tomography. In this modality, sinusoidal electrical currents are applied to the body using electrodes attached to the skin, and voltages that are developed on the electrodes are measured. Using these data, a reconstruction algorithm computes the conductivity and permittivity distributions within the body. This paper describes the reconstruction algorithm, image display algorithm, and hardware of a real-time Electrical Impedance Tomograph known as the Real-Time Imaging System. The reconstruction algorithm, executed by a commercially available coprocessor board that resides in a 386-based personal computer, is a modification of the Newton´s One Step Error Reconstructor (NOSER) that minimizes algorithm execution time by precomputing many quantities. The image display algorithm, also executed by the coprocessor board, maps the output of the reconstruction algorithm into an image which is displayed using a video graphics board. The architecture of the system and execution times of algorithms implemented by the system are discussed. Using the continuous data acquisition mode of the Real-Time Imaging System, data from the thorax of a normal human subject were collected. Admittivity changes in the chest, as a result of respiration and the cardiac cycle, are presented. Data that were collected from the leg of a normal subject are shown which demonstrate capabilities of the triggered data acquisition mode of the system, allowing data acquisition synchronization with an electrocardiogram.
Keywords :
electric impedance imaging; image reconstruction; medical image processing; 386-based personal computer; Newton´s one step error reconstructor; algorithm execution time minimization; cardiac cycle; chest admittivity changes; coprocessor board; data acquisition synchronization; human body; image display algorithm; leg; medical diagnostic imaging; normal human subject; permittivity distribution; respiration; sinusoidal electrical currents; thorax; tissue electrical properties; triggered data acquisition mode; Computer displays; Coprocessors; Data acquisition; Electrodes; Humans; Impedance; Real time systems; Reconstruction algorithms; Skin; Tomography; Algorithms; Computer Systems; Electric Impedance; Electrodes; Equipment Design; Humans; Mathematics; Tomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on