Analysing breast tissue composition with MRI using currently available short, simple sequences

A.C.M. Chau, J. Hua, Donna Taylor

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    Abstract

    © 2015 The Royal College of Radiologists. Aim To determine the most robust commonly available magnetic resonance imaging (MRI) sequence to quantify breast tissue composition at 1.5 T. Materials and methods Two-dimensional (2D) T1-weighted, Dixon fat, Dixon water and SPAIR images were obtained from five participants and a breast phantom using a 1.5 T Siemens Aera MRI system. Manual segmentation of the breasts was performed, and an in-house computer program was used to generate signal intensity histograms. Relative trough depth and relative peak separation were used to determine the robustness of the images for quantifying the two breast tissues. Total breast volumes and percentage breast densities calculated using the four sequences were compared. Results Dixon fat histograms had consistently low relative trough depth and relative peak separation compared to those obtained using other sequences. There was no significant difference in total breast volumes and percentage breast densities of the participants or breast phantom using Dixon fat and 2D T1-weighted histograms. Dixon water and SPAIR histograms were not suitable for quantifying breast tissue composition. Conclusion Dixon fat images are the most robust for the quantification of breast tissue composition using a signal intensity histogram.
    Original languageEnglish
    Pages (from-to)287-292
    Number of pages6
    JournalClinical Radiology
    Volume71
    Issue number3
    DOIs
    Publication statusPublished - 2016

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    title = "Analysing breast tissue composition with MRI using currently available short, simple sequences",
    abstract = "{\circledC} 2015 The Royal College of Radiologists. Aim To determine the most robust commonly available magnetic resonance imaging (MRI) sequence to quantify breast tissue composition at 1.5 T. Materials and methods Two-dimensional (2D) T1-weighted, Dixon fat, Dixon water and SPAIR images were obtained from five participants and a breast phantom using a 1.5 T Siemens Aera MRI system. Manual segmentation of the breasts was performed, and an in-house computer program was used to generate signal intensity histograms. Relative trough depth and relative peak separation were used to determine the robustness of the images for quantifying the two breast tissues. Total breast volumes and percentage breast densities calculated using the four sequences were compared. Results Dixon fat histograms had consistently low relative trough depth and relative peak separation compared to those obtained using other sequences. There was no significant difference in total breast volumes and percentage breast densities of the participants or breast phantom using Dixon fat and 2D T1-weighted histograms. Dixon water and SPAIR histograms were not suitable for quantifying breast tissue composition. Conclusion Dixon fat images are the most robust for the quantification of breast tissue composition using a signal intensity histogram.",
    author = "A.C.M. Chau and J. Hua and Donna Taylor",
    year = "2016",
    doi = "10.1016/j.crad.2015.11.020",
    language = "English",
    volume = "71",
    pages = "287--292",
    journal = "Clinical Radiology",
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    Analysing breast tissue composition with MRI using currently available short, simple sequences. / Chau, A.C.M.; Hua, J.; Taylor, Donna.

    In: Clinical Radiology, Vol. 71, No. 3, 2016, p. 287-292.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Analysing breast tissue composition with MRI using currently available short, simple sequences

    AU - Chau, A.C.M.

    AU - Hua, J.

    AU - Taylor, Donna

    PY - 2016

    Y1 - 2016

    N2 - © 2015 The Royal College of Radiologists. Aim To determine the most robust commonly available magnetic resonance imaging (MRI) sequence to quantify breast tissue composition at 1.5 T. Materials and methods Two-dimensional (2D) T1-weighted, Dixon fat, Dixon water and SPAIR images were obtained from five participants and a breast phantom using a 1.5 T Siemens Aera MRI system. Manual segmentation of the breasts was performed, and an in-house computer program was used to generate signal intensity histograms. Relative trough depth and relative peak separation were used to determine the robustness of the images for quantifying the two breast tissues. Total breast volumes and percentage breast densities calculated using the four sequences were compared. Results Dixon fat histograms had consistently low relative trough depth and relative peak separation compared to those obtained using other sequences. There was no significant difference in total breast volumes and percentage breast densities of the participants or breast phantom using Dixon fat and 2D T1-weighted histograms. Dixon water and SPAIR histograms were not suitable for quantifying breast tissue composition. Conclusion Dixon fat images are the most robust for the quantification of breast tissue composition using a signal intensity histogram.

    AB - © 2015 The Royal College of Radiologists. Aim To determine the most robust commonly available magnetic resonance imaging (MRI) sequence to quantify breast tissue composition at 1.5 T. Materials and methods Two-dimensional (2D) T1-weighted, Dixon fat, Dixon water and SPAIR images were obtained from five participants and a breast phantom using a 1.5 T Siemens Aera MRI system. Manual segmentation of the breasts was performed, and an in-house computer program was used to generate signal intensity histograms. Relative trough depth and relative peak separation were used to determine the robustness of the images for quantifying the two breast tissues. Total breast volumes and percentage breast densities calculated using the four sequences were compared. Results Dixon fat histograms had consistently low relative trough depth and relative peak separation compared to those obtained using other sequences. There was no significant difference in total breast volumes and percentage breast densities of the participants or breast phantom using Dixon fat and 2D T1-weighted histograms. Dixon water and SPAIR histograms were not suitable for quantifying breast tissue composition. Conclusion Dixon fat images are the most robust for the quantification of breast tissue composition using a signal intensity histogram.

    U2 - 10.1016/j.crad.2015.11.020

    DO - 10.1016/j.crad.2015.11.020

    M3 - Article

    VL - 71

    SP - 287

    EP - 292

    JO - Clinical Radiology

    JF - Clinical Radiology

    SN - 0009-9260

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    ER -