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Fusion of images obtained from EIT and MRI

Fusion of images obtained from EIT and MRI

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© The Institution of Engineering and Technology
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A novel and effective methodology of combining images obtained by both electrical impedance tomography (EIT) and magnetic resonance imaging (MRI) data is described. Co-registered and fused image results for an example laboratory phantom based on the polysaccharide gel TX151 are presented. Bespoke software was used to convert an EIT dataset into a form consistent with 3D-Slicer, a powerful software package used for visualisation and image analysis. The data fusion provides a highly effective method of directly comparing EIT images, which typically have good temporal resolution and relatively poor spatial resolution, with those obtained with MRI, which has relatively poor temporal resolution but excellent spatial resolution.

Inspec keywords: computerised tomography; medical image processing; biomedical MRI; image registration; sensor fusion

Other keywords: image registration; MRI; Bespoke software; laboratory phantom; magnetic resonance imaging; data fusion; electrical impedance tomography; EIT; polysaccharide gel TX151; image fusion; 3D-Slicer

Subjects: Optical, image and video signal processing; Biomedical magnetic resonance imaging and spectroscopy; Image processing and restoration; Sensor fusion; X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); X-rays and particle beams (medical uses); Medical magnetic resonance imaging and spectroscopy; Biology and medical computing; Computer vision and image processing techniques

References

    1. 1)
      • Pieper, S., Halle, M., Kikinis, R.: `3D SLICER', Proc. 1st IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro, 2004, 1, p. 632–635, (see http://www.slicer.org).
    2. 2)
      • McCormick, D., Davidson, J.L., McCann, H.: `Conversion of EIT brain images for co-registration', Proc. 13th Int. Conf. on Electrical Bioimpedance and the 8th Conf. on Electrical Impedance Tomography, 2007, Graz, Austria, p. 384–387,, ISBN 978-3-540-36839-7.
    3. 3)
      • M.A. Bernstein , K.F. King , X.J. Zhou . (2004) Handbook of MRI pulse sequences.
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      • McCann, H., Ahsan, S.T., Davidson, J.L., Robinson, R.L., Wright, P., Pomfrett, C.J.D.: `A portable instrument for high-speed brain function imaging: fEITER', Proc. 33rd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, (EMBS), 2011, Boston, MA, USA, p. 7029–7032.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2012.0327
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