An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents

Jasper Schoormans, Claudia Calcagno, Mariah R R Daal, Rob C I Wüst, Christopher Faries, Alexander Maier, Abraham J P Teunissen, Sonum Naidu, Brenda L Sanchez-Gaytan, Aart J Nederveen, Zahi A Fayad, Willem J M Mulder, Bram F Coolen, Gustav J Strijkers

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    PURPOSE: 19 F-MRI is gaining widespread interest for cell tracking and quantification of immune and inflammatory cells in vivo. Different fluorinated compounds can be discriminated based on their characteristic MR spectra, allowing in vivo imaging of multiple 19 F compounds simultaneously, so-called multicolor 19 F-MRI. We introduce a method for multicolor 19 F-MRI using an iterative sparse deconvolution method to separate different 19 F compounds and remove chemical shift artifacts arising from multiple resonances.

    METHODS: The method employs cycling of the readout gradient direction to alternate the spatial orientation of the off-resonance chemical shift artifacts, which are subsequently removed by iterative sparse deconvolution. Noise robustness and separation was investigated by numerical simulations. Mixtures of fluorinated oils (PFCE and PFOB) were measured on a 7T MR scanner to identify the relation between 19 F signal intensity and compound concentration. The method was validated in a mouse model after intramuscular injection of fluorine probes, as well as after intravascular injection.

    RESULTS: Numerical simulations show efficient separation of 19 F compounds, even at low signal-to-noise ratio. Reliable chemical shift artifact removal and separation of PFCE and PFOB signals was achieved in phantoms and in vivo. Signal intensities correlated excellently to the relative 19 F compound concentrations (r-2 = 0.966/0.990 for PFOB/PFCE).

    CONCLUSIONS: The method requires minimal sequence adaptation and is therefore easily implemented on different MRI systems. Simulations, phantom experiments, and in-vivo measurements in mice showed effective separation and removal of chemical shift artifacts below noise level. We foresee applicability for simultaneous in-vivo imaging of 19 F-containing fluorine probes or for detection of 19 F-labeled cell populations.

    Original languageEnglish
    Pages (from-to)228-239
    Number of pages12
    JournalMagnetic Resonance in Medicine
    Volume83
    Issue number1
    DOIs
    Publication statusPublished - Jan 2020

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    Contrast Media
    Artifacts
    Fluorine
    Noise
    Cell Tracking
    Intramuscular Injections
    Signal-To-Noise Ratio
    Oils
    Injections
    Population
    perflubron

    Bibliographical note

    © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

    Cite this

    Schoormans, Jasper ; Calcagno, Claudia ; Daal, Mariah R R ; Wüst, Rob C I ; Faries, Christopher ; Maier, Alexander ; Teunissen, Abraham J P ; Naidu, Sonum ; Sanchez-Gaytan, Brenda L ; Nederveen, Aart J ; Fayad, Zahi A ; Mulder, Willem J M ; Coolen, Bram F ; Strijkers, Gustav J. / An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents. In: Magnetic Resonance in Medicine. 2020 ; Vol. 83, No. 1. pp. 228-239.
    @article{94870302d2e24266b276a58b534d9197,
    title = "An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents",
    abstract = "PURPOSE: 19 F-MRI is gaining widespread interest for cell tracking and quantification of immune and inflammatory cells in vivo. Different fluorinated compounds can be discriminated based on their characteristic MR spectra, allowing in vivo imaging of multiple 19 F compounds simultaneously, so-called multicolor 19 F-MRI. We introduce a method for multicolor 19 F-MRI using an iterative sparse deconvolution method to separate different 19 F compounds and remove chemical shift artifacts arising from multiple resonances.METHODS: The method employs cycling of the readout gradient direction to alternate the spatial orientation of the off-resonance chemical shift artifacts, which are subsequently removed by iterative sparse deconvolution. Noise robustness and separation was investigated by numerical simulations. Mixtures of fluorinated oils (PFCE and PFOB) were measured on a 7T MR scanner to identify the relation between 19 F signal intensity and compound concentration. The method was validated in a mouse model after intramuscular injection of fluorine probes, as well as after intravascular injection.RESULTS: Numerical simulations show efficient separation of 19 F compounds, even at low signal-to-noise ratio. Reliable chemical shift artifact removal and separation of PFCE and PFOB signals was achieved in phantoms and in vivo. Signal intensities correlated excellently to the relative 19 F compound concentrations (r-2 = 0.966/0.990 for PFOB/PFCE).CONCLUSIONS: The method requires minimal sequence adaptation and is therefore easily implemented on different MRI systems. Simulations, phantom experiments, and in-vivo measurements in mice showed effective separation and removal of chemical shift artifacts below noise level. We foresee applicability for simultaneous in-vivo imaging of 19 F-containing fluorine probes or for detection of 19 F-labeled cell populations.",
    author = "Jasper Schoormans and Claudia Calcagno and Daal, {Mariah R R} and W{\"u}st, {Rob C I} and Christopher Faries and Alexander Maier and Teunissen, {Abraham J P} and Sonum Naidu and Sanchez-Gaytan, {Brenda L} and Nederveen, {Aart J} and Fayad, {Zahi A} and Mulder, {Willem J M} and Coolen, {Bram F} and Strijkers, {Gustav J}",
    note = "{\circledC} 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.",
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    language = "English",
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    Schoormans, J, Calcagno, C, Daal, MRR, Wüst, RCI, Faries, C, Maier, A, Teunissen, AJP, Naidu, S, Sanchez-Gaytan, BL, Nederveen, AJ, Fayad, ZA, Mulder, WJM, Coolen, BF & Strijkers, GJ 2020, 'An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents' Magnetic Resonance in Medicine, vol. 83, no. 1, pp. 228-239. https://doi.org/10.1002/mrm.27926

    An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents. / Schoormans, Jasper; Calcagno, Claudia; Daal, Mariah R R; Wüst, Rob C I; Faries, Christopher; Maier, Alexander; Teunissen, Abraham J P; Naidu, Sonum; Sanchez-Gaytan, Brenda L; Nederveen, Aart J; Fayad, Zahi A; Mulder, Willem J M; Coolen, Bram F; Strijkers, Gustav J.

    In: Magnetic Resonance in Medicine, Vol. 83, No. 1, 01.2020, p. 228-239.

    Research output: Contribution to JournalArticleAcademicpeer-review

    TY - JOUR

    T1 - An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents

    AU - Schoormans, Jasper

    AU - Calcagno, Claudia

    AU - Daal, Mariah R R

    AU - Wüst, Rob C I

    AU - Faries, Christopher

    AU - Maier, Alexander

    AU - Teunissen, Abraham J P

    AU - Naidu, Sonum

    AU - Sanchez-Gaytan, Brenda L

    AU - Nederveen, Aart J

    AU - Fayad, Zahi A

    AU - Mulder, Willem J M

    AU - Coolen, Bram F

    AU - Strijkers, Gustav J

    N1 - © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

    PY - 2020/1

    Y1 - 2020/1

    N2 - PURPOSE: 19 F-MRI is gaining widespread interest for cell tracking and quantification of immune and inflammatory cells in vivo. Different fluorinated compounds can be discriminated based on their characteristic MR spectra, allowing in vivo imaging of multiple 19 F compounds simultaneously, so-called multicolor 19 F-MRI. We introduce a method for multicolor 19 F-MRI using an iterative sparse deconvolution method to separate different 19 F compounds and remove chemical shift artifacts arising from multiple resonances.METHODS: The method employs cycling of the readout gradient direction to alternate the spatial orientation of the off-resonance chemical shift artifacts, which are subsequently removed by iterative sparse deconvolution. Noise robustness and separation was investigated by numerical simulations. Mixtures of fluorinated oils (PFCE and PFOB) were measured on a 7T MR scanner to identify the relation between 19 F signal intensity and compound concentration. The method was validated in a mouse model after intramuscular injection of fluorine probes, as well as after intravascular injection.RESULTS: Numerical simulations show efficient separation of 19 F compounds, even at low signal-to-noise ratio. Reliable chemical shift artifact removal and separation of PFCE and PFOB signals was achieved in phantoms and in vivo. Signal intensities correlated excellently to the relative 19 F compound concentrations (r-2 = 0.966/0.990 for PFOB/PFCE).CONCLUSIONS: The method requires minimal sequence adaptation and is therefore easily implemented on different MRI systems. Simulations, phantom experiments, and in-vivo measurements in mice showed effective separation and removal of chemical shift artifacts below noise level. We foresee applicability for simultaneous in-vivo imaging of 19 F-containing fluorine probes or for detection of 19 F-labeled cell populations.

    AB - PURPOSE: 19 F-MRI is gaining widespread interest for cell tracking and quantification of immune and inflammatory cells in vivo. Different fluorinated compounds can be discriminated based on their characteristic MR spectra, allowing in vivo imaging of multiple 19 F compounds simultaneously, so-called multicolor 19 F-MRI. We introduce a method for multicolor 19 F-MRI using an iterative sparse deconvolution method to separate different 19 F compounds and remove chemical shift artifacts arising from multiple resonances.METHODS: The method employs cycling of the readout gradient direction to alternate the spatial orientation of the off-resonance chemical shift artifacts, which are subsequently removed by iterative sparse deconvolution. Noise robustness and separation was investigated by numerical simulations. Mixtures of fluorinated oils (PFCE and PFOB) were measured on a 7T MR scanner to identify the relation between 19 F signal intensity and compound concentration. The method was validated in a mouse model after intramuscular injection of fluorine probes, as well as after intravascular injection.RESULTS: Numerical simulations show efficient separation of 19 F compounds, even at low signal-to-noise ratio. Reliable chemical shift artifact removal and separation of PFCE and PFOB signals was achieved in phantoms and in vivo. Signal intensities correlated excellently to the relative 19 F compound concentrations (r-2 = 0.966/0.990 for PFOB/PFCE).CONCLUSIONS: The method requires minimal sequence adaptation and is therefore easily implemented on different MRI systems. Simulations, phantom experiments, and in-vivo measurements in mice showed effective separation and removal of chemical shift artifacts below noise level. We foresee applicability for simultaneous in-vivo imaging of 19 F-containing fluorine probes or for detection of 19 F-labeled cell populations.

    U2 - 10.1002/mrm.27926

    DO - 10.1002/mrm.27926

    M3 - Article

    VL - 83

    SP - 228

    EP - 239

    JO - Magnetic Resonance in Medicine

    JF - Magnetic Resonance in Medicine

    SN - 0740-3194

    IS - 1

    ER -