Your browser doesn't support javascript.
loading
Cardiorespiratory motion-tracking via self-refocused rosette navigators.
Rigie, David; Vahle, Thomas; Zhao, Tiejun; Czekella, Björn; Frohwein, Lynn J; Schäfers, Klaus; Boada, Fernando E.
Afiliação
  • Rigie D; Bernard and Irene Schwartz Center for Biomedical Imaging, NYU School of Medicine, New York, New York.
  • Vahle T; Siemens Healthcare GmbH, Erlangen, Germany.
  • Zhao T; Siemens Medical Solutions, New York, New York.
  • Czekella B; European Institute for Molecular Imaging, Münster, Germany.
  • Frohwein LJ; European Institute for Molecular Imaging, Münster, Germany.
  • Schäfers K; European Institute for Molecular Imaging, Münster, Germany.
  • Boada FE; Bernard and Irene Schwartz Center for Biomedical Imaging, NYU School of Medicine, New York, New York.
Magn Reson Med ; 81(5): 2947-2958, 2019 05.
Article em En | MEDLINE | ID: mdl-30615208
ABSTRACT

PURPOSE:

To develop a flexible method for tracking respiratory and cardiac motions throughout MR and PET-MR body examinations that requires no additional hardware and minimal sequence modification.

METHODS:

The incorporation of a contrast-neutral rosette navigator module following the RF excitation allows for robust cardiorespiratory motion tracking with minimal impact on the host sequence. Spatial encoding gradients are applied to the FID signal and the desired motion signals are extracted with a blind source separation technique. This approach is validated with an anthropomorphic, PET-MR-compatible motion phantom as well as in 13 human subjects.

RESULTS:

Both respiratory and cardiac motions were reliably extracted from the proposed rosette navigator in phantom and patient studies. In the phantom study, the MR-derived motion signals were additionally validated against the ground truth measurement of diaphragm displacement and left ventricle model triggering pulse.

CONCLUSION:

The proposed method yields accurate respiratory and cardiac motion-state tracking, requiring only a short (1.76 ms) additional navigator module, which is self-refocusing and imposes minimal constraints on sequence design.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Tomografia por Emissão de Pósitrons / Coração / Movimento (Física) Limite: Humans Idioma: En Revista: Magn Reson Med Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Tomografia por Emissão de Pósitrons / Coração / Movimento (Física) Limite: Humans Idioma: En Revista: Magn Reson Med Ano de publicação: 2019 Tipo de documento: Article