Abstract：
:Magnetic resonance imaging (MRI) reconstruction techniques are often validated with signal-to-noise ratio (SNR), contrast-to-noise ratio, and mean-to-standard-deviation ratio measured on example images. We present human and model observers as a novel approach to evaluating reconstructions for low-SNR magnetic resonance (MR) images. We measured human and channelized Hotelling observers in a two-alternative forced-choice signal-known-exactly detection task on synthetic MR images. We compared three reconstructions: magnitude, wavelet-based denoising, and phase-corrected real. Human observers performed approximately equally using all three reconstructions. The model observer showed very close agreement with the humans over the range of images. These results contradict previous predictions in the literature based on SNR. Thus, we propose that human observer studies are important for validating MRI reconstructions. The model's performance indicates that it may provide an alternative to human studies.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Tisdall MD,Atkins MSdoi
10.1109/TMI.2006.881374subject
Has Abstractpub_date
2006-11-01 00:00:00pages
1510-7issue
11eissn
0278-0062issn
1558-254Xjournal_volume
25pub_type
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