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Abstract #2242

Simultaneous Model Estimation and Image Reconstruction (SMEIR) to improve Multi b-Value body Diffusion-Weighted imaging

Moti Freiman 1 , Onur Afacan 1 , Robert V Mulkern 1 , and Simon K Warfield 1

1 Radiology, Boston Children's Hospital/Harvard Medical School, Boston, MA, United States

Diffusion-weighted MRI images acquired with multiple b-values have the potential to improve diagnostic accuracy by increasing the conspicuity of lesions and inflammatory activity with background suppression. Unfortunately, the inherently low signal-to-noise ratio (SNR) of DW-MRI reduces enthusiasm for using these images for diagnostic purposes. Moreover, lengthy acquisition times limit our ability to improve the quality of multi b-value DW-MRI images by multiple excitations acquisition and signal averaging at each b-value. To offset these limitations, we propose the Simultaneous Model Estimation and Image Reconstruction (SMEIR) for DW-MRI, which substantially improves the quality of multi b-value DW-MRI images without increasing acquisition times.

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