italicize dwiqc mention

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.