Matches in SemOpenAlex for { <https://semopenalex.org/work/W2141796362> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2141796362 endingPage "205" @default.
- W2141796362 startingPage "192" @default.
- W2141796362 abstract "In both diagnostic and research applications, the interpretation of MR images of the human brain is facilitated when different data sets can be compared by visual inspection of equivalent anatomical planes. Quantitative analysis with predefined atlas templates often requires the initial alignment of atlas and image planes. Unfortunately, the axial planes acquired during separate scanning sessions are often different in their relative position and orientation, and these slices are not coplanar with those in the atlas. We have developed a completely automatic method to register a given volumetric data set with Talairach stereotaxic coordinate system.The registration method is based on multi-scale, three-dimensional (3D) cross-correlation with an average (n > 300) MR brain image volume aligned with the Talariach stereotaxic space. Once the data set is re-sampled by the transformation recovered by the algorithm, atlas slices can be directly superimposed on the corresponding slices of the re-sampled volume. the use of such a standardized space also allows the direct comparison, voxel to voxel, of two or more data sets brought into stereotaxic space.With use of a two-tailed Student t test for paired samples, there was no significant difference in the transformation parameters recovered by the automatic algorithm when compared with two manual landmark-based methods (p > 0.1 for all parameters except y-scale, where p > 0.05). Using root-mean-square difference between normalized voxel intensities as an unbiased measure of registration, we show that when estimated and averaged over 60 volumetric MR images in standard space, this measure was 30% lower for the automatic technique than the manual method, indicating better registrations. Likewise, the automatic method showed a 57% reduction in standard deviation, implying a more stable technique. The algorithm is able to recover the transformation even when data are missing from the top or bottom of the volume.We present a fully automatic registration method to map volumetric data into stereotaxic space that yields results comparable with those of manually based techniques. The method requires no manual identification of points or contours and therefore does not suffer the drawbacks involved in user intervention such as reproducibility and interobserver variability." @default.
- W2141796362 created "2016-06-24" @default.
- W2141796362 creator A5000479777 @default.
- W2141796362 creator A5011305571 @default.
- W2141796362 creator A5061155266 @default.
- W2141796362 creator A5063193089 @default.
- W2141796362 date "1994-03-01" @default.
- W2141796362 modified "2023-10-14" @default.
- W2141796362 title "Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space" @default.
- W2141796362 doi "https://doi.org/10.1097/00004728-199403000-00005" @default.
- W2141796362 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/8126267" @default.
- W2141796362 hasPublicationYear "1994" @default.
- W2141796362 type Work @default.
- W2141796362 sameAs 2141796362 @default.
- W2141796362 citedByCount "3159" @default.
- W2141796362 countsByYear W21417963622012 @default.
- W2141796362 countsByYear W21417963622013 @default.
- W2141796362 countsByYear W21417963622014 @default.
- W2141796362 countsByYear W21417963622015 @default.
- W2141796362 countsByYear W21417963622016 @default.
- W2141796362 countsByYear W21417963622017 @default.
- W2141796362 countsByYear W21417963622018 @default.
- W2141796362 countsByYear W21417963622019 @default.
- W2141796362 countsByYear W21417963622020 @default.
- W2141796362 countsByYear W21417963622021 @default.
- W2141796362 countsByYear W21417963622022 @default.
- W2141796362 countsByYear W21417963622023 @default.
- W2141796362 crossrefType "journal-article" @default.
- W2141796362 hasAuthorship W2141796362A5000479777 @default.
- W2141796362 hasAuthorship W2141796362A5011305571 @default.
- W2141796362 hasAuthorship W2141796362A5061155266 @default.
- W2141796362 hasAuthorship W2141796362A5063193089 @default.
- W2141796362 hasConcept C105702510 @default.
- W2141796362 hasConcept C115961682 @default.
- W2141796362 hasConcept C153180895 @default.
- W2141796362 hasConcept C154945302 @default.
- W2141796362 hasConcept C166704113 @default.
- W2141796362 hasConcept C2776673561 @default.
- W2141796362 hasConcept C2780297707 @default.
- W2141796362 hasConcept C2989005 @default.
- W2141796362 hasConcept C31972630 @default.
- W2141796362 hasConcept C41008148 @default.
- W2141796362 hasConcept C54170458 @default.
- W2141796362 hasConcept C58489278 @default.
- W2141796362 hasConcept C71924100 @default.
- W2141796362 hasConceptScore W2141796362C105702510 @default.
- W2141796362 hasConceptScore W2141796362C115961682 @default.
- W2141796362 hasConceptScore W2141796362C153180895 @default.
- W2141796362 hasConceptScore W2141796362C154945302 @default.
- W2141796362 hasConceptScore W2141796362C166704113 @default.
- W2141796362 hasConceptScore W2141796362C2776673561 @default.
- W2141796362 hasConceptScore W2141796362C2780297707 @default.
- W2141796362 hasConceptScore W2141796362C2989005 @default.
- W2141796362 hasConceptScore W2141796362C31972630 @default.
- W2141796362 hasConceptScore W2141796362C41008148 @default.
- W2141796362 hasConceptScore W2141796362C54170458 @default.
- W2141796362 hasConceptScore W2141796362C58489278 @default.
- W2141796362 hasConceptScore W2141796362C71924100 @default.
- W2141796362 hasIssue "2" @default.
- W2141796362 hasLocation W21417963621 @default.
- W2141796362 hasLocation W21417963622 @default.
- W2141796362 hasOpenAccess W2141796362 @default.
- W2141796362 hasPrimaryLocation W21417963621 @default.
- W2141796362 hasRelatedWork W1968481813 @default.
- W2141796362 hasRelatedWork W2005087563 @default.
- W2141796362 hasRelatedWork W2010533810 @default.
- W2141796362 hasRelatedWork W2038239089 @default.
- W2141796362 hasRelatedWork W2056853153 @default.
- W2141796362 hasRelatedWork W2057559274 @default.
- W2141796362 hasRelatedWork W2356918560 @default.
- W2141796362 hasRelatedWork W2378111931 @default.
- W2141796362 hasRelatedWork W2950647290 @default.
- W2141796362 hasRelatedWork W4243161226 @default.
- W2141796362 hasVolume "18" @default.
- W2141796362 isParatext "false" @default.
- W2141796362 isRetracted "false" @default.
- W2141796362 magId "2141796362" @default.
- W2141796362 workType "article" @default.