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Rapid and accurate navigators for motion and B0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators.
Brackenier, Yannick; Wang, Nan; Liao, Congyu; Cao, Xiaozhi; Schauman, Sophie; Yurt, Mahmut; Cordero-Grande, Lucilio; Malik, Shaihan J; Kerr, Adam; Hajnal, Joseph V; Setsompop, Kawin.
Afiliación
  • Brackenier Y; Department of Radiology, Stanford University, Stanford, California, USA.
  • Wang N; Department of Radiology, Stanford University, Stanford, California, USA.
  • Liao C; Department of Radiology, Stanford University, Stanford, California, USA.
  • Cao X; Department of Radiology, Stanford University, Stanford, California, USA.
  • Schauman S; Department of Radiology, Stanford University, Stanford, California, USA.
  • Yurt M; Department of Radiology, Stanford University, Stanford, California, USA.
  • Cordero-Grande L; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Malik SJ; Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain.
  • Kerr A; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Hajnal JV; Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Setsompop K; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
Magn Reson Med ; 91(5): 2028-2043, 2024 May.
Article en En | MEDLINE | ID: mdl-38173304
ABSTRACT

PURPOSE:

To develop a framework that jointly estimates rigid motion and polarizing magnetic field (B0 ) perturbations ( δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ ) for brain MRI using a single navigator of a few milliseconds in duration, and to additionally allow for navigator acquisition at arbitrary timings within any type of sequence to obtain high-temporal resolution estimates. THEORY AND

METHODS:

Methods exist that match navigator data to a low-resolution single-contrast image (scout) to estimate either motion or δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ . In this work, called QUEEN (QUantitatively Enhanced parameter Estimation from Navigators), we propose combined motion and δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ estimation from a fast, tailored trajectory with arbitrary-contrast navigator data. To this end, the concept of a quantitative scout (Q-Scout) acquisition is proposed from which contrast-matched scout data is predicted for each navigator. Finally, navigator trajectories, contrast-matched scout, and δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ are integrated into a motion-informed parallel-imaging framework.

RESULTS:

Simulations and in vivo experiments show the need to model δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ to obtain accurate motion parameters estimated in the presence of strong δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ . Simulations confirm that tailored navigator trajectories are needed to robustly estimate both motion and δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ . Furthermore, experiments show that a contrast-matched scout is needed for parameter estimation from multicontrast navigator data. A retrospective, in vivo reconstruction experiment shows improved image quality when using the proposed Q-Scout and QUEEN estimation.

CONCLUSIONS:

We developed a framework to jointly estimate rigid motion parameters and δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ from navigators. Combing a contrast-matched scout with the proposed trajectory allows for navigator deployment in almost any sequence and/or timing, which allows for higher temporal-resolution motion and δ B 0 $$ \delta {\mathbf{B}}_{\mathbf{0}} $$ estimates.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos