Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT

Crabb, Michael and Davidson, John and Little, Ross and Wright, Paul and Morgan, Alexandra and Miller, Chris and Naish, Josephine and Parker, Geoff and Kikinis, Ron and McCann, Hugh and Lionheart, William (2014) Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT. Physiological Measurement, 35 (5). pp. 863-879.

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Abstract

We report on a pilot study of dynamic lung electrical impedance tomography (EIT) at the University of Manchester. Low-noise EIT data at 100 frames per second were obtained from healthy male subjects during controlled breathing, followed by magnetic resonance imaging (MRI) subsequently used for spatial validation of the EIT reconstruction. The torso surface in the MR image and electrode positions obtained using MRI fiducial markers informed the construction of a 3D finite element model extruded along the caudal-distal axis of the subject. Small changes in the boundary that occur during respiration were accounted for by incorporating the sensitivity with respect to boundary shape into a robust temporal difference reconstruction algorithm. EIT and MRI images were co-registered using the open source medical imaging software, 3D Slicer. A quantitative comparison of quality of different EIT reconstructions was achieved through calculation of the mutual information with a lung-segmented MR image. EIT reconstructions using a linear shape correction algorithm reduced boundary image artefacts, yielding better contrast of the lungs, and had 10% greater mutual information compared with a standard linear EIT reconstruction.

Item Type:	Article
Uncontrolled Keywords:	3D lung EIT, MRI, mutual information, image co-registration
Subjects:	MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis MSC 2010, the AMS's Mathematics Subject Classification > 92 Biology and other natural sciences
Depositing User:	Dr Michael Crabb
Date Deposited:	30 Dec 2014
Last Modified:	20 Oct 2017 14:13
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/2223

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