We are developing techniques to optimize quantitative imaging methods using patient data. Such optimization can substantially accelerate the clinical translation of these methods but is complicated by the lack of ground truth. We are developing no-gold-standard evaluation techniques to address this issue. Our results demonstrate that these techniques, without access to any ground truth, are able to rank imaging methods based on how precisely they estimate the true quantitative value.
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