Abstract #2497
Radiological and quantitative assessment of Compressed Sensing reconstruction of undersampled 3D brain images
Ian Marshall 1 , Gabriel Rilling 1 , Yuehui Tao 2 , Chaoran Du 1 , Samarth Varma 1 , Dominic Job 1 , Andrew Farrall 1 , and Mike Davies 1
1
University of Edinburgh, Edinburgh, United
Kingdom,
2
University
of Oxford, Oxford, United Kingdom
Compressed Sensing (CS) has been shown to provide
significant speed up of MRI with sufficient accuracy
when judged by 'image error' against known ground
truths. To be clinically useful, the images must also be
of diagnostic quality and acceptable to radiologists.
Very few reports have considered this crucial issue. In
this study of 3D brain scanning, we found that
radiologists rated 4-times and 6-times undersampled data
reconstructed by CS higher than conventional least
squares reconstruction. However, subtle artefacts made
interpretation of deep brain structures difficult and
caused significant differences in measurement of brain
tissue volumes.
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