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Free-breathing motion corrected magnetic resonance elastography of the abdomen.
van Schelt, Anne-Sophie; Wassenaar, Nienke Petronella Maria; Runge, Jurgen Henk; Nelissen, Jules Laurent; van Laarhoven, Hanneke Wilma Marlies; Stoker, Jaap; Nederveen, Aart Johannes; Schrauben, Eric Mathew.
Affiliation
  • van Schelt AS; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Wassenaar NPM; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Runge JH; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Nelissen JL; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • van Laarhoven HWM; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Stoker J; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Nederveen AJ; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Schrauben EM; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Quant Imaging Med Surg ; 14(5): 3447-3460, 2024 May 01.
Article in En | MEDLINE | ID: mdl-38720850
ABSTRACT

Background:

Magnetic resonance elastography (MRE) is a non-invasive method to measure the viscoelastic properties of tissue and has been applied in multiple abdominal organs. However, abdominal MRE suffers from detrimental breathing motion causing misalignment of structures between repeated acquisitions for different MRE dimensions (e.g., motion encoding directions and wave phase offsets). This study investigated motion correction strategies to resolve all breathing motion on sagittal free-breathing MRE acquisitions in a phantom, in healthy volunteers and showed feasibility in patients.

Methods:

First, in silico experiments were performed on a static phantom dataset with simulated motion. Second, eight healthy volunteers underwent two sagittal MRE acquisitions in the pancreas and right kidney. The multi-frequency free-breathing spin-echo echo-planar-imaging (SE-EPI) MRE consisted of four frequencies (30, 40, 50, 60 Hz), eight wave-phase offsets, with 3 mm3 isotropic voxel size. Following data re-sorting in different number of motion states (4 till 12) based on respiratory waveform signal, three intensity-based registration methods (monomodal, multimodal, and phase correlation) and non-rigid local registration were compared. A ranking method was used to determine the best registration method, based on seven signal-to-noise and image quality measures. Repeatability was assessed for no motion correction (Original) and the best performing method (Best) using Bland-Altman analysis. Lastly, the best motion correction method was compared to no motion correction on patient MRE data [pancreatic ductal adenocarcinoma (PDAC, n=5) and metabolic dysfunction-associated steatotic liver disease (MASLD) (n=1)].

Results:

In silico experiments showed a deviation of shear wave speed (SWS) with simulated motion to the ground truth, which was (partially) resolved using motion correction. In healthy volunteers ranking resulted in the best motion correction method of monomodal registration using nine motion states, while no motion correction was ranked last. Limits of agreement were (-0.18, 0.14), and (-0.25, 0.18) m/s for Best and Original, respectively. Using motion correction in patients resulted in a significant increase in SWS in the pancreas (Original 1.39±0.10 and Best 1.50±0.17 m/s). After motion correction PDAC had a mean SWS of 1.56±0.27 m/s (Original 1.42±0.25 m/s). The fibrotic liver mean SWS was 2.07±0.20 m/s (Original 2.12±0.18 m/s).

Conclusions:

Motion correction in sagittal free-breathing abdominal MRE results in improved data quality, inversion precision, repeatability, and is feasible in patients.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Quant Imaging Med Surg Year: 2024 Document type: Article Affiliation country: Netherlands Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Quant Imaging Med Surg Year: 2024 Document type: Article Affiliation country: Netherlands Country of publication: China