ArticleBMC medical imaging2016
Impact of region-of-interest method on quantitative analysis of DTI data in the optic tracts.
Article in BMC medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- 3D printing of an optic pathway model from 7T MRI for education.3D printing in medicine · 2025Article
- Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging.BMC medical imaging · 2021Article
- Third-trimester in utero fetal brain diffusion tensor imaging fiber tractography: a prospective longitudinal characterization of normal white matter tract development.Pediatric radiology · 2020Observational
- Stereotaxic Diffusion Tensor Imaging White Matter Atlas for theFrontiers in neuroanatomy · 2020Article
- Anatomically constrained tractography facilitates biologically plausible fiber reconstruction of the optic radiation in multiple sclerosis.NeuroImage. Clinical · 2019Article
- Comparison of DTI analysis methods for clinical research: influence of pre-processing and tract selection methods.European radiology experimental · 2018Article
- Stability metrics for optic radiation tractography: Towards damage prediction after resective surgery.Journal of neuroscience methods · 2017Article
- Reliability and Spatial Consistency of MR Diffusion Tensor Imaging Measures Along the Cerebral Perivascular Space.Journal of neuroimaging : official journal of the American Society of NeuroimagingReview
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5 authors.
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Abstract
backgroundTo extract DTI parameters from a specific structure, a region of interest (ROI) must be defined. ROI selection in small structures is challenging; the final measurement results could be affected due to the significant impact of small geometrical errors. In this study the optic tracts were analyzed with the aim to assess differences in DTI parameters due to ROI method and to identify the most reliable method.
methodsImages of 20 healthy subjects were acquired. Fractional anisotropy (FA) was extracted from the optic tracts by four different ROI methods. Manual tracing was performed in 1) the b0 image and 2) a T1-weighted image registered to the FA image. Semi-automatic segmentation was performed based on 3) tractography and 4) the FA-skeleton algorithm in the tract-based spatial statistics (TBSS) framework. Results were analyzed with regard to ROI method as well as to inter-scan, intra-rater and inter-rater reliability.
resultsThe resulting FA values divided the ROI methods into two groups that differed significantly: 1) the FA-skeleton and the b0 methods showed higher FA values compared to 2) the tractography and the T1-weighted methods. The intra- and inter-rater variabilities were similar for all methods, except for the tractography method where the inter-rater variability was higher. The FA-skeleton method had a better reproducibility than the other methods.
conclusionChoice of ROI method was found to be highly influential on FA values when the optic tracts were analyzed. The FA-skeleton method performed the best, yielding low variability and high repeatability.
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