ArticlePloS one2017
Discrete pre-processing step effects in registration-based pipelines, a preliminary volumetric study on T1-weighted images.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature.Neuropsychology review · 2023Pooled it
- Acute after-school screen time in children decreases impulse control and activation toward high-calorie food stimuli in brain regions related to reward and attention.Brain imaging and behavior · 2021Trial
- Neural mechanisms of cognitive conflict: processing COVID-19 vaccine misinformation.Frontiers in neuroscience · 2025Article
- Considerations on Image Preprocessing Techniques Required by Deep Learning Models. The Case of the Knee MRIs.Maedica · 2024Article
- Repetition of Computer Security Warnings Results in Differential Repetition Suppression Effects as Revealed With Functional MRI.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Pre-processing MRI scans prior to performing volumetric analyses is common practice in MRI studies. As pre-processing steps adjust the voxel intensities, the space in which the scan exists, and the amount of data in the scan, it is possible that the steps have an effect on the volumetric output. To date, studies have compared between and not within pipelines, and so the impact of each step is unknown. This study aims to quantify the effects of pre-processing steps on volumetric measures in T1-weighted scans within a single pipeline. It was our hypothesis that pre-processing steps would significantly impact ROI volume estimations. One hundred fifteen participants from the OASIS dataset were used, where each participant contributed three scans. All scans were then pre-processed using a step-wise pipeline. Bilateral hippocampus, putamen, and middle temporal gyrus volume estimations were assessed following each successive step, and all data were processed by the same pipeline 5 times. Repeated-measures analyses tested for a main effects of pipeline step, scan-rescan (for MRI scanner consistency) and repeated pipeline runs (for algorithmic consistency). A main effect of pipeline step was detected, and interestingly an interaction between pipeline step and ROI exists. No effect for either scan-rescan or repeated pipeline run was detected. We then supply a correction for noise in the data resulting from pre-processing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.