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Extended MRI-based PET motion correction for cardiac PET/MRI.
Aizaz, Mueez; van der Pol, Jochem A J; Schneider, Alina; Munoz, Camila; Holtackers, Robert J; van Cauteren, Yvonne; van Langen, Herman; Meeder, Joan G; Rahel, Braim M; Wierts, Roel; Botnar, René M; Prieto, Claudia; Moonen, Rik P M; Kooi, M Eline.
Afiliación
  • Aizaz M; CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
  • van der Pol JAJ; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Schneider A; CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
  • Munoz C; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Holtackers RJ; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • van Cauteren Y; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • van Langen H; CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
  • Meeder JG; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Rahel BM; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Wierts R; CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
  • Botnar RM; Department of Cardiology, VieCuri Medical Centre, Venlo, The Netherlands.
  • Prieto C; Department of Medical Physics and Devices, VieCuri Medical Centre, Venlo, The Netherlands.
  • Moonen RPM; Department of Cardiology, VieCuri Medical Centre, Venlo, The Netherlands.
  • Kooi ME; Department of Cardiology, VieCuri Medical Centre, Venlo, The Netherlands.
EJNMMI Phys ; 11(1): 36, 2024 Apr 06.
Article en En | MEDLINE | ID: mdl-38581561
ABSTRACT

PURPOSE:

A 2D image navigator (iNAV) based 3D whole-heart sequence has been used to perform MRI and PET non-rigid respiratory motion correction for hybrid PET/MRI. However, only the PET data acquired during the acquisition of the 3D whole-heart MRI is corrected for respiratory motion. This study introduces and evaluates an MRI-based respiratory motion correction method of the complete PET data.

METHODS:

Twelve oncology patients scheduled for an additional cardiac 18F-Fluorodeoxyglucose (18F-FDG) PET/MRI and 15 patients with coronary artery disease (CAD) scheduled for cardiac 18F-Choline (18F-FCH) PET/MRI were included. A 2D iNAV recorded the respiratory motion of the myocardium during the 3D whole-heart coronary MR angiography (CMRA) acquisition (~ 10 min). A respiratory belt was used to record the respiratory motion throughout the entire PET/MRI examination (~ 30-90 min). The simultaneously acquired iNAV and respiratory belt signal were used to divide the acquired PET data into 4 bins. The binning was then extended for the complete respiratory belt signal. Data acquired at each bin was reconstructed and combined using iNAV-based motion fields to create a respiratory motion-corrected PET image. Motion-corrected (MC) and non-motion-corrected (NMC) datasets were compared. Gating was also performed to correct cardiac motion. The SUVmax and TBRmax values were calculated for the myocardial wall or a vulnerable coronary plaque for the 18F-FDG and 18F-FCH datasets, respectively.

RESULTS:

A pair-wise comparison showed that the SUVmax and TBRmax values of the motion corrected (MC) datasets were significantly higher than those for the non-motion-corrected (NMC) datasets (8.2 ± 1.0 vs 7.5 ± 1.0, p < 0.01 and 1.9 ± 0.2 vs 1.2 ± 0.2, p < 0.01, respectively). In addition, the SUVmax and TBRmax of the motion corrected and gated (MC_G) reconstructions were also higher than that of the non-motion-corrected but gated (NMC_G) datasets, although for the TBRmax this difference was not statistically significant (9.6 ± 1.3 vs 9.1 ± 1.2, p = 0.02 and 2.6 ± 0.3 vs 2.4 ± 0.3, p = 0.16, respectively). The respiratory motion-correction did not lead to a change in the signal to noise ratio.

CONCLUSION:

The proposed respiratory motion correction method for hybrid PET/MRI improved the image quality of cardiovascular PET scans by increased SUVmax and TBRmax values while maintaining the signal-to-noise ratio. Trial registration METC162043 registered 01/03/2017.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: EJNMMI Phys Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: EJNMMI Phys Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos
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