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Optimizing maternal fat suppression with constrained image-based shimming in fetal MR.
Gaspar, Andreia S; Nunes, Rita G; Ferrazzi, Giulio; Hughes, Emer J; Hutter, Jana; Malik, Shaihan J; McCabe, Laura; Baruteau, Kelly P; Rutherford, Mary A; Hajnal, Joseph V; Price, Anthony N.
Afiliação
  • Gaspar AS; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Nunes RG; Institute for Systems and Robotics/Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
  • Ferrazzi G; Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisbon, Portugal.
  • Hughes EJ; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Hutter J; Institute for Systems and Robotics/Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
  • Malik SJ; Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisbon, Portugal.
  • McCabe L; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Baruteau KP; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Rutherford MA; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Hajnal JV; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Price AN; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
Magn Reson Med ; 81(1): 477-485, 2019 01.
Article em En | MEDLINE | ID: mdl-30058204
ABSTRACT

PURPOSE:

Echo planar imaging (EPI) is the primary sequence for functional and diffusion MRI. In fetal applications, the large field of view needed to encode the maternal abdomen leads to prolonged EPI readouts, which may be further extended due to safety considerations that limit gradient performance. The resulting images become very sensitive to water-fat shift and susceptibility artefacts. The purpose of this study was to reduce artefacts and increase stability of EPI in fetal brain imaging, balancing local field homogeneity across the fetal brain with longer range variations to ensure compatibility with fat suppression of the maternal abdomen.

METHODS:

Spectral Pre-saturation with Inversion-Recovery (SPIR) fat suppression was optimized by investigating SPIR pulse frequency offsets. Subsequently, fetal brain EPI data were acquired using image-based (IB) shimming on 6 pregnant women by (1) minimizing B0 field variations within the fetal brain (localized IB shimming) and (2) with added constraint to limit B0 variation in maternal fat (fat constrained IB shimming).

RESULTS:

The optimal offset for the SPIR pulse at 3 Tesla was 550 Hz. Both shimming approaches had similar performances in terms of B0 homogeneity within the brain, but constrained IB shimming enabled higher fat suppression efficiency.

CONCLUSION:

Optimized SPIR in combination with constrained IB shimming can improve maternal fat suppression while minimizing EPI distortions in the fetal brain.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Processamento de Imagem Assistida por Computador / Tecido Adiposo / Imagem Ecoplanar / Imagem de Difusão por Ressonância Magnética / Feto Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Processamento de Imagem Assistida por Computador / Tecido Adiposo / Imagem Ecoplanar / Imagem de Difusão por Ressonância Magnética / Feto Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2019 Tipo de documento: Article