Comparison of self-gated cine MRI retrospective cardiac synchronization algorithms

Grace M. Nijm; Alan V. Sahakian; Steven Swiryn; James C. Carr; John J. Sheehan; Andrew C. Larson

doi:10.1002/jmri.21514

Comparison of self-gated cine MRI retrospective cardiac synchronization algorithms

Grace M. Nijm, Alan V. Sahakian, Steven Swiryn, James C. Carr, John J. Sheehan, Andrew C. Larson

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

Purpose: To determine whether improved self-gating (SG) algorithms can provide superior synchronization accuracy for retrospectively gated cine MRI. Materials and Methods: First difference, template matching, and polynomial fitting algorithms were implemented to improve the synchronization of MRI data using cardiac SG signals. Cine datasets were acquired during short-axis, two-, three-, and four-chamber cardiac MRI scans. The root-mean-square (RMS) error of SG synchronization positions compared to detected R-wave positions were calculated along with the mean square error (MSE) and peak signal-to-noise ratio (PSNR) comparing SG to electrocardiogram (ECG)-gated images. Overall image quality was also compared by two expert reviewers. Results: RMS errors were highest for the first difference method for all orientations. Improvements for both template matching and cubic polynomial fitting methods were significant for two-, three-, and four-chamber scans. MSE values were lower and PSNR were significantly higher for the cubic method compared to the first difference method for all orientations. Reviewers scored the images to be of comparable quality. Conclusion: Template matching and polynomial fitting improved the accuracy of cardiac cycle synchronization for two-, three-, and four-chamber scans; improvements in SG synchronization accuracy were reflected in improvements In analytical image quality. Implementation of robust post-processing algorithms may bring SG approaches closer to clinical utilization.

Original language	English (US)
Pages (from-to)	767-772
Number of pages	6
Journal	Journal of Magnetic Resonance Imaging
Volume	28
Issue number	3
DOIs	https://doi.org/10.1002/jmri.21514
State	Published - Sep 2008

Funding

A. S. Tsaftaris, Professor and M. Kafka, Graduate Student, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece. Address correspondence to: A. S. Tsaftaris, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece (E-mail: TS [email protected]). Part of the work presented in this article from the authors’ laboratory is financed by E.U., P.T.P. roigect AMlCA and the Greek Secretariat for Research and Technology.

Keywords

Cardiac MRI
Retrospective gating
Self-gating

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1002/jmri.21514

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@article{7201d64690904b2886992384668a385c,

title = "Comparison of self-gated cine MRI retrospective cardiac synchronization algorithms",

abstract = "Purpose: To determine whether improved self-gating (SG) algorithms can provide superior synchronization accuracy for retrospectively gated cine MRI. Materials and Methods: First difference, template matching, and polynomial fitting algorithms were implemented to improve the synchronization of MRI data using cardiac SG signals. Cine datasets were acquired during short-axis, two-, three-, and four-chamber cardiac MRI scans. The root-mean-square (RMS) error of SG synchronization positions compared to detected R-wave positions were calculated along with the mean square error (MSE) and peak signal-to-noise ratio (PSNR) comparing SG to electrocardiogram (ECG)-gated images. Overall image quality was also compared by two expert reviewers. Results: RMS errors were highest for the first difference method for all orientations. Improvements for both template matching and cubic polynomial fitting methods were significant for two-, three-, and four-chamber scans. MSE values were lower and PSNR were significantly higher for the cubic method compared to the first difference method for all orientations. Reviewers scored the images to be of comparable quality. Conclusion: Template matching and polynomial fitting improved the accuracy of cardiac cycle synchronization for two-, three-, and four-chamber scans; improvements in SG synchronization accuracy were reflected in improvements In analytical image quality. Implementation of robust post-processing algorithms may bring SG approaches closer to clinical utilization.",

keywords = "Cardiac MRI, Retrospective gating, Self-gating",

author = "Nijm, {Grace M.} and Sahakian, {Alan V.} and Steven Swiryn and Carr, {James C.} and Sheehan, {John J.} and Larson, {Andrew C.}",

note = "Funding Information: A. S. Tsaftaris, Professor and M. Kafka, Graduate Student, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece. Address correspondence to: A. S. Tsaftaris, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece (E-mail: TS [email protected]). Part of the work presented in this article from the authors{\textquoteright} laboratory is financed by E.U., P.T.P. roigect AMlCA and the Greek Secretariat for Research and Technology.",

year = "2008",

month = sep,

doi = "10.1002/jmri.21514",

language = "English (US)",

volume = "28",

pages = "767--772",

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T1 - Comparison of self-gated cine MRI retrospective cardiac synchronization algorithms

AU - Nijm, Grace M.

AU - Sahakian, Alan V.

AU - Swiryn, Steven

AU - Carr, James C.

AU - Sheehan, John J.

AU - Larson, Andrew C.

N1 - Funding Information: A. S. Tsaftaris, Professor and M. Kafka, Graduate Student, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece. Address correspondence to: A. S. Tsaftaris, Department of Genetics and Plant Breeding, Aristoteles University of Thessaloniki, Thessaloniki, Greece (E-mail: TS [email protected]). Part of the work presented in this article from the authors’ laboratory is financed by E.U., P.T.P. roigect AMlCA and the Greek Secretariat for Research and Technology.

PY - 2008/9

Y1 - 2008/9

N2 - Purpose: To determine whether improved self-gating (SG) algorithms can provide superior synchronization accuracy for retrospectively gated cine MRI. Materials and Methods: First difference, template matching, and polynomial fitting algorithms were implemented to improve the synchronization of MRI data using cardiac SG signals. Cine datasets were acquired during short-axis, two-, three-, and four-chamber cardiac MRI scans. The root-mean-square (RMS) error of SG synchronization positions compared to detected R-wave positions were calculated along with the mean square error (MSE) and peak signal-to-noise ratio (PSNR) comparing SG to electrocardiogram (ECG)-gated images. Overall image quality was also compared by two expert reviewers. Results: RMS errors were highest for the first difference method for all orientations. Improvements for both template matching and cubic polynomial fitting methods were significant for two-, three-, and four-chamber scans. MSE values were lower and PSNR were significantly higher for the cubic method compared to the first difference method for all orientations. Reviewers scored the images to be of comparable quality. Conclusion: Template matching and polynomial fitting improved the accuracy of cardiac cycle synchronization for two-, three-, and four-chamber scans; improvements in SG synchronization accuracy were reflected in improvements In analytical image quality. Implementation of robust post-processing algorithms may bring SG approaches closer to clinical utilization.

AB - Purpose: To determine whether improved self-gating (SG) algorithms can provide superior synchronization accuracy for retrospectively gated cine MRI. Materials and Methods: First difference, template matching, and polynomial fitting algorithms were implemented to improve the synchronization of MRI data using cardiac SG signals. Cine datasets were acquired during short-axis, two-, three-, and four-chamber cardiac MRI scans. The root-mean-square (RMS) error of SG synchronization positions compared to detected R-wave positions were calculated along with the mean square error (MSE) and peak signal-to-noise ratio (PSNR) comparing SG to electrocardiogram (ECG)-gated images. Overall image quality was also compared by two expert reviewers. Results: RMS errors were highest for the first difference method for all orientations. Improvements for both template matching and cubic polynomial fitting methods were significant for two-, three-, and four-chamber scans. MSE values were lower and PSNR were significantly higher for the cubic method compared to the first difference method for all orientations. Reviewers scored the images to be of comparable quality. Conclusion: Template matching and polynomial fitting improved the accuracy of cardiac cycle synchronization for two-, three-, and four-chamber scans; improvements in SG synchronization accuracy were reflected in improvements In analytical image quality. Implementation of robust post-processing algorithms may bring SG approaches closer to clinical utilization.

KW - Cardiac MRI

KW - Retrospective gating

KW - Self-gating

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JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

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ER -

Comparison of self-gated cine MRI retrospective cardiac synchronization algorithms

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