Comparison of T1-weighted landmark placement and ROI transfer onto diffusion-weighted EPI sequences for targeted tractography tasks in the optic nerve
| dc.contributor.author | Janko, Markus | |
| dc.contributor.author | Santaniello, Sascha D. | |
| dc.contributor.author | Brockmann, Carolin | |
| dc.contributor.author | Wolf, Marcel | |
| dc.contributor.author | Grauhan, Nils F. | |
| dc.contributor.author | Schöffling, Vanessa I. | |
| dc.contributor.author | Dimova, Violeta | |
| dc.contributor.author | Ponto, Katharina | |
| dc.contributor.author | Hoffmann, Esther M. | |
| dc.contributor.author | Kleinekofort, Wolfgang | |
| dc.contributor.author | Othman, Ahmed E. | |
| dc.contributor.author | Brockmann, Marc A. | |
| dc.contributor.author | Kronfeld, Andrea | |
| dc.date.accessioned | 2025-08-07T07:31:46Z | |
| dc.date.available | 2025-08-07T07:31:46Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Diffusion-based tractography in the optic nerve requires sampling strategies assisted by anatomical landmark information (regions of interest [ROIs]). We aimed to investigate the feasibility of expert-placed, high-resolution T1-weighted ROI-data transfer onto lower spatial resolution diffusion-weighted images. Slab volumes from 20 volunteers were acquired and preprocessed including distortion bias correction and artifact reduction. Constrained spherical deconvolution was used to generate a directional diffusion information grid (fibre orientation distribution-model [FOD]). Three neuroradiologists marked landmarks on both diffusion imaging variants and structural datasets. Structural ROI information (volumetric interpolated breath-hold sequence [VIBE]) was respectively registered (linear with 6/12 degrees of freedom [DOF]) onto single-shot EPI (ss-EPI) and readout-segmented EPI (rs-EPI) volumes, respectively. All eight ROI/FOD-combinations were compared in a targeted tractography task of the optic nerve pathway. Inter-rater reliability for placed ROIs among experts was highest in VIBE images (lower confidence interval 0.84 to 0.97, mean 0.91) and lower in both ss-EPI (0.61 to 0.95, mean 0.79) and rs-EPI (0.59 to 0.86, mean 0.70). Tractography success rate based on streamline selection performance was highest in VIBE-drawn ROIs registered (6-DOF) onto rs-EPI FOD (70.0% over 5%-threshold, capped to failed ratio 39/16) followed by both 12-DOF-registered (67.5%; 41/16) and nonregistered VIBE (67.5%; 40/23). On ss-EPI FOD, VIBE-ROI-datasets obtained fewer streamlines overall with each at 55.0% above 5%-threshold and with lower capped to failed ratio (6-DOF: 35/36; 12-DOF: 34/34, nonregistered 33/36). The combination of VIBE-placed ROIs (highest inter-rater reliability) with 6-DOF registration onto rs-EPI targets (best streamline selection performance) is most suitable for white matter template generation required in group studies. | en |
| dc.identifier.doi | https://doi.org/10.25358/openscience-12105 | |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/12126 | |
| dc.language.iso | eng | |
| dc.rights | CC-BY-4.0 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 610 Medizin | de |
| dc.subject.ddc | 610 Medical sciences | en |
| dc.title | Comparison of T1-weighted landmark placement and ROI transfer onto diffusion-weighted EPI sequences for targeted tractography tasks in the optic nerve | en |
| dc.type | Zeitschriftenaufsatz | |
| jgu.journal.issue | 5 | |
| jgu.journal.title | European journal of neuroscience | |
| jgu.journal.volume | 60 | |
| jgu.organisation.department | FB 04 Medizin | |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | |
| jgu.organisation.number | 2700 | |
| jgu.organisation.place | Mainz | |
| jgu.organisation.ror | https://ror.org/023b0x485 | |
| jgu.pages.end | 4999 | |
| jgu.pages.start | 4987 | |
| jgu.publisher.doi | 10.1111/ejn.16490 | |
| jgu.publisher.issn | 1460-9568 | |
| jgu.publisher.name | Wiley | |
| jgu.publisher.place | Oxford [u.a.] | |
| jgu.publisher.year | 2024 | |
| jgu.rights.accessrights | openAccess | |
| jgu.subject.ddccode | 610 | |
| jgu.subject.dfg | Lebenswissenschaften | |
| jgu.type.contenttype | Scientific article | |
| jgu.type.dinitype | Article | en_GB |
| jgu.type.resource | Text | |
| jgu.type.version | Published version |