Free‐breathing radial imaging using a pilot‐tone radiofrequency transmitter for detection of respiratory motion.

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Title: Free‐breathing radial imaging using a pilot‐tone radiofrequency transmitter for detection of respiratory motion.
Authors: Solomon, Eddy1 (AUTHOR), Rigie, David S.1 (AUTHOR), Vahle, Thomas2 (AUTHOR), Paška, Jan1 (AUTHOR), Bollenbeck, Jan2 (AUTHOR), Sodickson, Daniel K.1 (AUTHOR), Boada, Fernando E.1 (AUTHOR), Block, Kai Tobias1,2 (AUTHOR), Chandarana, Hersh1 (AUTHOR) Hersh.Chandarana@nyulangone.org
Source: Magnetic Resonance in Medicine. May2021, Vol. 85 Issue 5, p2672-2685. 14p.
Subjects: Radio frequency, Transmitters (Communication), Signal reconstruction, Three-dimensional imaging, Motion
Abstract: Purpose: To describe an approach for detection of respiratory signals using a transmitted radiofrequency (RF) reference signal called Pilot‐Tone (PT) and to use the PT signal for creation of motion‐resolved images based on 3D stack‐of‐stars imaging under free‐breathing conditions. Methods: This work explores the use of a reference RF signal generated by a small RF transmitter, placed outside the MR bore. The reference signal is received in parallel to the MR signal during each readout. Because the received PT amplitude is modulated by the subject's breathing pattern, a respiratory signal can be obtained by detecting the strength of the received PT signal over time. The breathing‐induced PT signal modulation can then be used for reconstructing motion‐resolved images from free‐breathing scans. The PT approach was tested in volunteers using a radial stack‐of‐stars 3D gradient echo (GRE) sequence with golden‐angle acquisition. Results: Respiratory signals derived from the proposed PT method were compared to signals from a respiratory cushion sensor and k‐space‐center‐based self‐navigation under different breathing conditions. Moreover, the accuracy was assessed using a modified acquisition scheme replacing the golden‐angle scheme by a zero‐angle acquisition. Incorporating the PT signal into eXtra‐Dimensional (XD) motion‐resolved reconstruction led to improved image quality and clearer anatomical depiction of the lung and liver compared to k‐space‐center signal and motion‐averaged reconstruction, when binned into 6, 8, and 10 motion states. Conclusion: PT is a novel concept for tracking respiratory motion. Its small dimension (8 cm), high sampling rate, and minimal interaction with the imaging scan offers great potential for resolving respiratory motion. [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 radial imaging using a pilot‐tone radiofrequency transmitter for detection of respiratory motion.
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  Data: <searchLink fieldCode="AR" term="%22Solomon%2C+Eddy%22">Solomon, Eddy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rigie%2C+David+S%2E%22">Rigie, David S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vahle%2C+Thomas%22">Vahle, Thomas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paška%2C+Jan%22">Paška, Jan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bollenbeck%2C+Jan%22">Bollenbeck, Jan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sodickson%2C+Daniel+K%2E%22">Sodickson, Daniel K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boada%2C+Fernando+E%2E%22">Boada, Fernando E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Block%2C+Kai+Tobias%22">Block, Kai Tobias</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chandarana%2C+Hersh%22">Chandarana, Hersh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Hersh.Chandarana@nyulangone.org</i>
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. May2021, Vol. 85 Issue 5, p2672-2685. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Radio+frequency%22">Radio frequency</searchLink><br /><searchLink fieldCode="DE" term="%22Transmitters+%28Communication%29%22">Transmitters (Communication)</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+reconstruction%22">Signal reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Motion%22">Motion</searchLink>
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  Label: Abstract
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  Data: Purpose: To describe an approach for detection of respiratory signals using a transmitted radiofrequency (RF) reference signal called Pilot‐Tone (PT) and to use the PT signal for creation of motion‐resolved images based on 3D stack‐of‐stars imaging under free‐breathing conditions. Methods: This work explores the use of a reference RF signal generated by a small RF transmitter, placed outside the MR bore. The reference signal is received in parallel to the MR signal during each readout. Because the received PT amplitude is modulated by the subject's breathing pattern, a respiratory signal can be obtained by detecting the strength of the received PT signal over time. The breathing‐induced PT signal modulation can then be used for reconstructing motion‐resolved images from free‐breathing scans. The PT approach was tested in volunteers using a radial stack‐of‐stars 3D gradient echo (GRE) sequence with golden‐angle acquisition. Results: Respiratory signals derived from the proposed PT method were compared to signals from a respiratory cushion sensor and k‐space‐center‐based self‐navigation under different breathing conditions. Moreover, the accuracy was assessed using a modified acquisition scheme replacing the golden‐angle scheme by a zero‐angle acquisition. Incorporating the PT signal into eXtra‐Dimensional (XD) motion‐resolved reconstruction led to improved image quality and clearer anatomical depiction of the lung and liver compared to k‐space‐center signal and motion‐averaged reconstruction, when binned into 6, 8, and 10 motion states. Conclusion: PT is a novel concept for tracking respiratory motion. Its small dimension (8 cm), high sampling rate, and minimal interaction with the imaging scan offers great potential for resolving respiratory motion. [ABSTRACT FROM AUTHOR]
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  Data: <i>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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.28616
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        Text: English
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        PageCount: 14
        StartPage: 2672
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      – SubjectFull: Radio frequency
        Type: general
      – SubjectFull: Transmitters (Communication)
        Type: general
      – SubjectFull: Signal reconstruction
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
      – SubjectFull: Motion
        Type: general
    Titles:
      – TitleFull: Free‐breathing radial imaging using a pilot‐tone radiofrequency transmitter for detection of respiratory motion.
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            NameFull: Solomon, Eddy
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            – D: 01
              M: 05
              Text: May2021
              Type: published
              Y: 2021
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