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Dynamic reconstruction for digital tomosynthesis: a phantom proof of concept for breast care.

Matteo BarbieriClément JailinLaurence VancambergStephane Roux
Published in: Biomedical physics & engineering express (2024)
The proposed method is a combination of a 4D dynamic tomography strategy leveraging the formalism of Projection-based Digital Volume Correlation (P-DVC) with a multiscale approach to estimate and correct patient motion. Iterations of two operations are performed: i) a motion-corrected reconstruction based on the Simultaneous Iterative Reconstruction Technique (SIRT) algorithm and ii) a motion estimation from projection residuals, to obtain motion-free volumes. 
Performance is evaluated on a synthetic Digital Breast Tomosynthesis (DBT) case. Three slabs of a CIRS breast phantom are imaged on a Senographe Pristina™, under plate-wise rigid body motions with amplitudes ranging up to 10 mm so that an independent measurement of the motion can be accessed.
Results: Results show a motion estimation average precision down to 0.183 mm (1.83 voxels), when compared to the independent measurement. Moreover, an 84.2% improvement on the mean residual error and a 59.9% improvement on the root mean square error (RMSE) with the original static reconstruction are obtained. 
Significance: Visual and quantitative assessments of the dynamically reconstructed volumes show that the proposed method fully restores conspicuity for important clinical features contained in the phantom.
Keyphrases
  • image quality
  • high speed
  • computed tomography
  • healthcare
  • dual energy
  • palliative care
  • magnetic resonance imaging
  • magnetic resonance
  • deep learning
  • mass spectrometry
  • affordable care act
  • contrast enhanced