Image distortion and image mis-registration in low frequency current density imaging

DeMonte, Tim P.; Yoon, Richard S.; Hasanov, K.F.; Jorgenson, Dawn; Joy, Michael

doi:10.1109/iembs.2002.1106212

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Previous works studied the effects of mis-registration that gradient distortion had on CDI [6], [7]. In addition to the mis-registration problem, this paper also takes into account the distortion experienced by the phase derivatives.…”

Section: B Effects Of Gradient Distortion On CDImentioning

confidence: 99%

Gradient Distortion Correction for Low Frequency Current Density Imaging

Yan¹,

DeMonte²,

Joy³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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Current density imaging (CDI) is a technique that uses magnetic resonance imaging (MRI) to measure the distribution of externally applied electric current inside tissues. However, CDI processing is rendered inaccurate by the distortion caused by the nonlinearity of MRI gradient fields. The distortion interferes with the proper registration and the curl operation required for correct computation of current density vectors. To address this problem, a calibration phantom was imaged to determine the distortion and to generate calibration maps to correct the distorted current density images. A validation experiment involving a cylindrical phantom was performed to verify this method. Comparison of the distorted and corrected images reveals that both the registration and the curl operation are successfully corrected by this method.

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Section: B Effects Of Gradient Distortion On CDImentioning

confidence: 99%

Gradient Distortion Correction for Low Frequency Current Density Imaging

Yan¹,

DeMonte²,

Joy³

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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Analysis of reliability metrics and quality enhancement measures in current density imaging

Foomany

Beheshti

Magtibay

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Low frequency current density imaging (LFCDI) is a magnetic resonance imaging (MRI) technique which enables calculation of current pathways within the medium of study. The induced current produces a magnetic flux which presents itself in phase images obtained through MRI scanning. A class of LFCDI challenges arises from the subject rotation requirement, which calls for reliability analysis metrics and specific image registration techniques. In this study these challenges are formulated and in light of proposed discussions, the reliability analysis of calculation of current pathways in a designed phantom and a pig heart is presented. The current passed is measured with less than 5% error for phantom, using CDI method. It is shown that Gauss's law for magnetism can be treated as reliability metric in matching the images in two orientations. For the phantom and pig heart the usefulness of image registration for mitigation of rotation errors is demonstrated. The reliability metric provides a good representation of the degree of correspondence between images in two orientations for phantom and pig heart. In our CDI experiments this metric produced values of 95% and 26%, for phantom, and 88% and 75% for pig heart, for mismatch rotations of 0 and 20 degrees respectively.

show abstract

Gradient Distortion Correction for Low Frequency Current Density Imaging

Yan

DeMonte²,

Joy

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

Current density imaging (CDI) is a technique that uses magnetic resonance imaging (MRI) to measure the distribution of externally applied electric current inside tissues. However, GDI processing is rendered inaccurate by the distortion caused by the nonlinearity of MRI gradient fields. The distortion interferes with the proper registration and the curl operation required for correct computation of current density vectors. To address this problem, a calibration phantom was imaged to determine the distortion and to generate calibration maps to correct the distorted current density images. A validation experiment involving a cylindrical phantom was performed to verify this method. Comparison of the distorted and corrected images reveals that both the registration and the curl operation are successfully corrected by this method.

show abstract

Image distortion and image mis-registration in low frequency current density imaging

Cited by 5 publications

References 4 publications

Gradient Distortion Correction for Low Frequency Current Density Imaging

Gradient Distortion Correction for Low Frequency Current Density Imaging

Analysis of reliability metrics and quality enhancement measures in current density imaging

Gradient Distortion Correction for Low Frequency Current Density Imaging

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