Free‐breathing cine DENSE MRI using phase cycling with matchmaking and stimulated‐echo image‐based navigators.

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Title: Free‐breathing cine DENSE MRI using phase cycling with matchmaking and stimulated‐echo image‐based navigators.
Authors: Cai, Xiaoying1, Epstein, Frederick H.1,2 fredepstein@virginia.edu
Source: Magnetic Resonance in Medicine. Nov2018, Vol. 80 Issue 5, p1907-1921. 15p.
Abstract: Purpose: This study aimed to develop a self‐navigated method for free‐breathing spiral cine displacement encoding with stimulated echoes (DENSE), a myocardial strain imaging technique that uses phase‐cycling for artifact suppression. The method needed to address 2 consequences of motion for DENSE: striping artifacts from incomplete suppression of the T1‐relaxation echo and blurring. Methods: The method identifies phase‐cycled spiral interleaves at matched respiratory phases by minimizing the residual signal due to T1 relaxation after phase‐cycling subtraction. Next, the method reconstructs image‐based navigators from matched phase‐cycled interleaves that are comprised of the stimulated echo (ste‐iNAVs). Ste‐iNAVs are used for motion estimation and compensation of k‐space data. The method was demonstrated in phantoms and compared to diaphragm‐based navigator (dNAV) and conventional iNAV (c‐iNAV) methods for the reconstruction of free‐breathing volunteer data sets (N = 10). Results: Phantom experiments demonstrated that the proposed method removes striping artifacts and blurring due to motion. Volunteer results showed that respiratory motion measured by ste‐iNAVs was better correlated than c‐iNAVs to dNAV data (R2 = 0.82 ± 0.03 vs. 0.70 ± 0.05, P < 0.05). Match‐making reconstructions of free‐breathing data sets achieved lower residual T1‐relaxation echo energy (1.04 ± 0.01 vs. 1.18 ± 0.04 for dNAV and 1.18 ± 0.03 for c‐iNAV, P < 0.05), higher apparent SNR (11.93 ± 1.05 vs. 10.68 ± 1.06 for dNAV and 10.66 ± 0.99 for c‐iNAV, P < 0.05), and better phase quality (0.147 ± 0.012 vs. 0.166 ± 0.017 for dNAV, P = 0.06, and 0.168 ± 0.015 for c‐iNAV, P < 0.05) than dNAV and c‐iNAV methods. Conclusion: For free‐breathing cine DENSE, the proposed method addresses both types of breathing‐induced artifacts and provides better quality images than conventional dNAV and iNAV methods. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Free‐breathing cine DENSE MRI using phase cycling with matchmaking and stimulated‐echo image‐based navigators.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cai%2C+Xiaoying%22&quot;&gt;Cai, Xiaoying&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Epstein%2C+Frederick+H%2E%22&quot;&gt;Epstein, Frederick H.&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt;&lt;i&gt; fredepstein@virginia.edu&lt;/i&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Magnetic+Resonance+in+Medicine%22&quot;&gt;Magnetic Resonance in Medicine&lt;/searchLink&gt;. Nov2018, Vol. 80 Issue 5, p1907-1921. 15p.
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  Data: Purpose: This study aimed to develop a self‐navigated method for free‐breathing spiral cine displacement encoding with stimulated echoes (DENSE), a myocardial strain imaging technique that uses phase‐cycling for artifact suppression. The method needed to address 2 consequences of motion for DENSE: striping artifacts from incomplete suppression of the T1‐relaxation echo and blurring. Methods: The method identifies phase‐cycled spiral interleaves at matched respiratory phases by minimizing the residual signal due to T1 relaxation after phase‐cycling subtraction. Next, the method reconstructs image‐based navigators from matched phase‐cycled interleaves that are comprised of the stimulated echo (ste‐iNAVs). Ste‐iNAVs are used for motion estimation and compensation of k‐space data. The method was demonstrated in phantoms and compared to diaphragm‐based navigator (dNAV) and conventional iNAV (c‐iNAV) methods for the reconstruction of free‐breathing volunteer data sets (N = 10). Results: Phantom experiments demonstrated that the proposed method removes striping artifacts and blurring due to motion. Volunteer results showed that respiratory motion measured by ste‐iNAVs was better correlated than c‐iNAVs to dNAV data (R2 = 0.82 &#177; 0.03 vs. 0.70 &#177; 0.05, P &lt; 0.05). Match‐making reconstructions of free‐breathing data sets achieved lower residual T1‐relaxation echo energy (1.04 &#177; 0.01 vs. 1.18 &#177; 0.04 for dNAV and 1.18 &#177; 0.03 for c‐iNAV, P &lt; 0.05), higher apparent SNR (11.93 &#177; 1.05 vs. 10.68 &#177; 1.06 for dNAV and 10.66 &#177; 0.99 for c‐iNAV, P &lt; 0.05), and better phase quality (0.147 &#177; 0.012 vs. 0.166 &#177; 0.017 for dNAV, P = 0.06, and 0.168 &#177; 0.015 for c‐iNAV, P &lt; 0.05) than dNAV and c‐iNAV methods. Conclusion: For free‐breathing cine DENSE, the proposed method addresses both types of breathing‐induced artifacts and provides better quality images than conventional dNAV and iNAV methods. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.27199
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              Text: Nov2018
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              Y: 2018
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