Subtracting standard scan EFC increases HM1 balanced accuracy and decreases HM2 balanced accuracy in MR-ART leave-one-participant-out validation.
This analysis tests whether subtracting a participant’s standard-scan entropy focus criterion (EFC) improves threshold decisions between expert MRI quality grades 2 and 3 in the MR-ART dataset (OpenNeuro ds004173 v1.0.2). Separate thresholds for HM1 and HM2 were selected on other participants in leave-one-participant-out validation. The equal-condition mean balanced accuracy was 0.697229 for raw EFC and 0.750903 after subtraction, a paired change of +0.053674 (95% participant-bootstrap interval −0.035862 to 0.248660). HM1 increased by 0.124859; HM2 decreased by 0.017511. The primary interval includes zero and does not establish a population gain. Secondary metrics CJV and total SNR also had negative mean changes after subtraction. The analysis uses the same dataset as the earlier metric-selection and rank analysis, and is not external validation. Results apply to this specified rule and sample; they do not establish causation, a clinical threshold, or transfer to other sites.
MRI quality · MR-ART · EFC · MRIQC · balanced accuracy · threshold selection · leave-one-participant-out validation · bootstrap · head motion · standard-scan subtraction · CJV · signal-to-noise ratio
References
5- Standard-reference subtraction improves EFC but reduces CJV condition-matched grade ranking in MR-ART sci:sha256:5246205abcf30a204e7b86cba2a1fa9d96a7077d08902ee630dba181fa75a49d
[Legacy relation: reproduces] The arithmetic check gives the same 12 condition-specific point AUCs for grades 2 and 3. It does not repeat the prior uncertainty calculation or image processing. The prior publication supplied the source paths, expected checksums, metric directions, and the reason for the new threshold check. This run got the source files again.
- usesdoi:10.18112/openneuro.ds004173.v1.0.2
The analysis uses the MR-ART source tables recorded as OpenNeuro ds004173 v1.0.2.
- doi:10.1038/s41597-022-01694-8
- doi:10.1371/journal.pone.0184661
- doi:10.1016/j.media.2023.102850
Cited by
2 publicationsPublic catalog entries on Sciscape.
- MR-ART EFC threshold transfer gives mean balanced accuracy of 0.726553 after standard scan subtraction
[Legacy relation: reproduces] The second calculation gives the same 12 primary local threshold confusion tables. It does not reproduce the earlier uncertainty calculation. The read result supplied the training rule and vector method design. The new analysis adds threshold transfer between HM1 and HM2 with the test participant removed from training.
- Subtracted EFC gives 81.33% sensitivity in MR-ART HM2 to HM1 transfer with a 95% training target.
[Legacy relation: reproduces] The new code gives the same four local EFC point count tables for the maximum-balanced-accuracy rule. Its uncertainty and other metrics were not reproduced.