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Anisha Keshavan edited I_was_not_clear_about__.tex
about 8 years ago
Commit id: 809133a1ed3507ccfbb9d6a5f7e9889d6d1c19ae
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I was not clear about the The overall goal of this
project, which project was not to claim that the method of scanning 12 phantom subjects
travel is in any way was cost
effective! effective. Rather, the goal was to measure MRI-related biases when systems are not standardized, and then see how
we one can overcome these biases with proper sample sizes, rather than
our a costly calibration
method. If sites don't need to harmonize, they can include retrospective data in method or harmonization (for the
analysis, which is certainly cost-effective. Also, it case of retrospective data). This also allows sites the freedom to upgrade hardware/software or even change sequences during a study. This might be an incentive for sites to contribute data even if they are given little financial
incentive, because it requires very little effort on their part! We focused too much on the support. The phantom calibration aspect
when actually we should have emphasized has been minimized our statistical model that accounts for MRI-related
biases, the biases has been emphasized. The measurements of that bias (which were estimated
and validated via
calibration), calibration) are an important part of this study because they validate the scaling assumption of the statistical model and
provide researchers values to plug into the
idea that this is power equation. Our framework provides an alternative method to ADNI harmonization, rather than a strict improvement. The human phantom calibration
is still important to validate our assumption of scaled bias to our measurements, and showed that the overall absolute agreement between sites improves to the same level of
ADNI ADNI-type harmonization.
I follow up on this in my response to the next revision, which compares our Our results
are compared to other harmonization
efforts. efforts in the manuscript and in the following response.