Improved computation of lagrangian tissue displacement and strain for cine dense mri using a regularized spatiotemporal least squares method

HIGHLIGHTS

• who: ufeffSonaufeff ufeffGhadimiufeff and colleagues from the Siemens Healthineers Ltd, China Emory University have published the research: Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method, in the Journal: (JOURNAL) of 16/03/2023
• what: The authors develop a method to compute the Lagrangian displacement (and, subsequently, strain) for cine DENSE that uses a least squares minimization method to enforce fidelity with the acquired Eulerian displacement data while simultaneously providing model-independent regularization in space and time enforcing only spatiotemporal smoothness . The investigations showed that . . .
  

   

  

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