CoReHA: conductivity reconstructor using harmonic algorithms for magnetic resonance electrical impedance tomography (MREIT)
2
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging modality providing cross-sectional images of a conductivity distribution inside an electrically conducting object. MREIT has rapidly progressed in its theory, algorithm and experimental technique and now reached the stage of in vivo animal and human experiments. Conductivity image reconstructions in MREIT require various steps of carefully implemented numerical computations. To facilitate MREIT research, there is a pressing need for an MREIT software package with an efficient user interface. In this paper, we present an example of such a software, called CoReHA which stands for conductivity reconstructor using harmonic algorithms. It offers various computational tools including preprocessing of MREIT data, identification of boundary geometry, electrode modeling, meshing and implementation of the finite element method. Conductivity image reconstruction methods based on the harmonic algorithm are used to produce cross-sectional conductivity images. After summarizing basics of MREIT theory and experimental method, we describe technical details of each data processing task for conductivity image reconstructions. We pay attention to pitfalls and cautions in their numerical implementations. The presented software will be useful to researchers in the field of MREIT for simulation as well as experimental studies.
Abstract
Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging modality providing cross-sectional images of a conductivity distribution inside an electrically conducting object. MREIT has rapidly progressed in its theory, algorithm and experimental technique and now reached the stage of in vivo animal and human experiments. Conductivity image reconstructions in MREIT require various steps of carefully implemented numerical computations. To facilitate MREIT research, there is a pressing need for an MREIT software package with an efficient user interface. In this paper, we present an example of such a software, called CoReHA which stands for conductivity reconstructor using harmonic algorithms. It offers various computational tools including preprocessing of MREIT data, identification of boundary geometry, electrode modeling, meshing and implementation of the finite element method. Conductivity image reconstruction methods based on the harmonic algorithm are used to produce cross-sectional conductivity images. After summarizing basics of MREIT theory and experimental method, we describe technical details of each data processing task for conductivity image reconstructions. We pay attention to pitfalls and cautions in their numerical implementations. The presented software will be useful to researchers in the field of MREIT for simulation as well as experimental studies.
참고문헌 (29)
- N. Zhang, "Electrical Impedance Tomography based on Current Density Imaging", 석사, pp.1992
- E.J. Woo, "Impedance tomography using internal current density distribution measured by nuclear magnetic resonance", SPIE, pp.377~385 (1994)
- O. Birgul, "Use of the magnetic field generated by the internal distribution of injected currents for electrical impe- dance tomography", Proc. IXth Int. Conf. Elec. Bio-Impedance, pp.418~419 (1995)
- Y.Z. Ider, "Use of the magnetic field generated by the internal distribution of injected currents for electrical impedance tomography (MR-EIT)", Elektrik, 6, pp.215~225 (1998)
- O. Kwon, "Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm", IEEE Trans. Biomed. Eng, 49, pp.160~167 (2002)
- E.J. Woo, "Magnetic resonance electrical impedance tomography (MREIT) in Holder D ed. in : Electrical Impedance Tomography: Methods, History and Applications" (2005), IOP Publishing
- E.J. Woo, "Magnetic resonance electrical impedance tomography (MREIT) for high-resolution conductivity imaging", Physiol. Meas, 29, pp.R1~R26 (2008)
- H.J. Kim, "Conductivity imaging of canine brain using a 3 T MREIT system: postmortem experiments", Physiol. Meas, 28, pp.1341~1353 (2007)
- H.J. Kim, "In vivo electrical conductivity imaging of a canine brain using a 3T MREIT system", Physiol. Meas, 29, pp.1145~1155 (2008)
- T.S. Kim, "A Matlab toolbox for magnetic resonance electrical impedance tomography (MREIT): MREIT toolbox", IJBEM, 7, pp.352~355 (2005)
- J.K. Seo, "Reconstruction of conductivity and current density images using only one comp- onent of magnetic field measurements", IEEE Trans. Biomed. Eng, 50, pp.1121~1124 (2003)
- S.H. Oh, "Conductivity and current density image reconstruction using harmonic algorithm in magnetic resonance electrical impedance tomography", Phys. Med. Biol, 48, pp.3101~3116 (2003)
- J.K. Seo, "Local harmonic algorithm with domain decomposition in MREIT: computer simulation study", IEEE Trans. Med. Imag, 27, pp.1754~1761 (2008)
- O. Kwon, "Mathematical framework for -based MREIT model in electrical impedance imaging", Comp. Math. Appl, 51, pp.817~828 (2006)
- B.I. Lee, "Three-dimensional forward solver and its performance analysis in magnetic resonance electrical impedance tomography (MREIT) using recessed electrodes", Phys. Med. Biol, 48, pp.1971~1986 (2003)
- Tong In Oh, "Improved Current Source Design to Measure Induced Magnetic Flux Density Distributions in MREIT", 의공학회지, 27(1), pp.30~37 (2006), 대한의용생체공학회
- "OpenGL"[URL]
- D.C. Ghiglia, "Two-Dimensional Phase Unwra- pping: Theory, Algorithms and software" (1998), Wiley Interscience
- V. Caselles, "Geodesic active contours", Int. J. Comput. Vis, 22, pp.61~79 (1997)
- T. Chan, "Active contours without edges", IEEE Trans. Imag. Proc, 10, pp.266~277 (2001)
- X. Xie, "RAGS: region-aided geometric snake", IEEE Trans. Imag. Proc, 13, pp.640~652 (2004)
- Method for image segment- ation using statistically reinstating force and multi-resolution, "C.O. Lee", Applied for Korea patent, ~ (2007)
- Image segmentation based on the statistical variational formulation using the local region information, "S.H. Park", KAIST, ~, pp.DAM Res. Rep. 08-03 (2008)
- "Triangle: a two-dimensional quality mesh generator and Delaunay triangulator"[URL]
- G.C. Scott, "Sensitivity of magnetic resonance current density imaging", J. Magn. Reson, 97, pp.235~254 (1992)
- R. Sadleir, "Noise analysis in MREIT at 3 and 11 Tesla field strength", Physiol. Meas, 26, pp.875~884 (2005)
- B.I. Lee, "Harmonic decomposition in PDE-based denoising technique for magnetic resonance electrical impedance tomography", IEEE Trans. Biomed. Eng, 52, pp.1912~1920 (2005)
- S.H. Lee, "Conductivity image reconstruction from defective data in MREIT: numerical simulation and animal experiment", IEEE Trans. Med. Imag, 25, pp.168~176 (2006)