From c179ba2203eced7f46568bf5a443498f10c3c1dd Mon Sep 17 00:00:00 2001 From: Daniel Asay Date: Mon, 1 Apr 2024 11:26:07 -0400 Subject: [PATCH] italicize dwiqc mention --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 20dd523..2e43896 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -37,7 +37,7 @@ Diffusion weighted neuroimaging is an MR modality that maps white-matter microst # Statement of need -Diffusion neuroimaging is a burgeoning field with huge potential to deepen our understanding of the brain. While exciting, it also means that acquisition parameters, study designs, and theoretical analysis frameworks vary greatly. `DWIQC` is an effort to make diffusion imaging analysis and quality assurance accessible to researchers with diverse experimental designs. By leveraging the respective strengths of various diffusion imaging analysis tools, DWIQC appeals to a broad range of users who employ different data acquisition approaches. Additionally, large, multi-site studies can can use the standardized preprocessing to ensure uniformity in data preprocessing, data quality metrics and downstream analysis. +Diffusion neuroimaging is a burgeoning field with huge potential to deepen our understanding of the brain. While exciting, it also means that acquisition parameters, study designs, and theoretical analysis frameworks vary greatly. `DWIQC` is an effort to make diffusion imaging analysis and quality assurance accessible to researchers with diverse experimental designs. By leveraging the respective strengths of various diffusion imaging analysis tools, `DWIQC` appeals to a broad range of users who employ different data acquisition approaches. Additionally, large, multi-site studies can can use the standardized preprocessing to ensure uniformity in data preprocessing, data quality metrics and downstream analysis. Furthermore, `DWIQC's` integration with the XNAT data management platform facilitates ease of adoption due to XNAT's widespread use at neuroimaging centers. Sites that use `DWIQC` and upload its results to an XNAT instance provide tranparency in analysis practices for collaborating sites. Multi-site studies benefit by seeing diffusion analysis reports in the same format across sites and subjects.