3-D Contrast Source Inversion-Electrical Properties Tomography

• Published in: IEEE transactions on medical imaging Vol. 37; no. 9; pp. 2080 - 2089
• Main Authors: Leijsen, Reijer L., Brink, Wyger M., van den Berg, Cornelis A. T., Webb, Andrew G., Remis, Rob F.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Abdomen - diagnostic imaging; Algorithms; Biomedical imaging; Boundaries; Electrical properties; Electrical properties tomography; Electromagnetic Fields; electromagnetic Green’s tensor field representations; Electromagnetics; Female; Head - diagnostic imaging; Humans; Image reconstruction; Imaging, Three-Dimensional - methods; Inversion; Iterative methods; Magnetic properties; Magnetic resonance; Magnetic Resonance Imaging; Mathematical model; Mathematical models; Models, Anatomic; Radio frequency; Three dimensional models; three-dimensional contrast source inversion; Three-dimensional displays; Tomography; Tomography - methods
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2018.2816125

Contrast source inversion-electrical properties tomography (CSI-EPT) is an iterative reconstruction method to retrieve the electrical properties (EPs) of tissues from magnetic resonance data. The method is based on integral representations of the electromagnetic field and has been shown to allow EP reconstructions of small structures as well as tissue boundaries with compelling accuracy. However, to date, the CSI-EPT has been implemented for 2-D configurations only, which limits its applicability. In this paper, a full 3-D extension of the CSI-EPT method is presented, to enable CSI-EPT to be applied to realistic 3-D scenarios. Here, we demonstrate a proof-of-principle of 3-D CSI-EPT and present the reconstructions of a 3-D abdominal body section and a 3-D head model using different settings of the transmit coil. Numerical results show that the full 3-D approach yields accurate reconstructions of the EPs, even at tissue boundaries and is most accurate in regions where the absolute value of the electric field is highest.