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To address this issue, we developed a novel technique that integrates diffusion tensor metrics along the whole volume of the fibre bundle using a 3D mesh-morphing technique coupled with principal component analysis for delineating case and control groups. Brain diffusion tensor MRI scans of high school rugby union players (n = 30, age 16\u201318) were acquired on a 3\u2005T MRI before and after the sports season. A non-contact sport athlete cohort with matching demographics (n = 12) was also scanned. The utility of the new method in detecting differences in diffusion tensor metrics of the right corticospinal tract between contact and non-contact sport athletes was explored. The first step was to run automated tractography on each subject\u2019s native space. A template model of the right corticospinal tract was generated and morphed into each subject\u2019s native shape and space, matching individual geometry and diffusion metric distributions with minimal information loss. The common dimension of the 20 480 diffusion metrics allowed further data aggregation using principal component analysis to cluster the case and control groups as well as visualization of diffusion metric statistics (mean, \u00b12 SD). Our approach of analysing the whole volume of white matter tracts led to a clear delineation between the rugby and control cohort, which was not possible with the traditional averaging method. Moreover, our approach accounts for the individual subject\u2019s variations in diffusion tensor metrics to visualize group differences in quantitative MR data. This approach may benefit future prediction models based on other quantitative MRI methods.<\/jats:p>","DOI":"10.1093\/braincomms\/fcae027","type":"journal-article","created":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T01:51:00Z","timestamp":1708653060000},"source":"Crossref","is-referenced-by-count":1,"title":["Integration of diffusion tensor imaging parameters with mesh morphing for in-depth analysis of brain white matter fibre tracts"],"prefix":"10.1093","volume":"6","author":[{"given":"Maryam","family":"Tayebi","sequence":"first","affiliation":[{"name":"Auckland Bioengineering Institute, The University of Auckland , Auckland, 1010 , New Zealand"},{"name":"M\u0101tai Medical Research Institute , Gisborne, 4010 , New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eryn","family":"Kwon","sequence":"additional","affiliation":[{"name":"Auckland Bioengineering Institute, The University of Auckland , Auckland, 1010 , New Zealand"},{"name":"M\u0101tai 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