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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