BrainVoyager 24.2.8 |
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| This minor patch release provides improvements and bug fixes. |
Enhancements |
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| COPE EPI Distortion Correction | The integrated EPI distortion correction tool, COPE, now provides an 'Options' dialog that can be used to modify its default operation, including the selection of one of two cost functions: 'sum of squared differences' (SSD, default) and 'normalized cross-correlation' (NCC). The estimate_epi_distortion() Python script function, as well as the JavaScript EstimateEpiDistortion() function, now also support these additional settings. For details, see topic 'EPI Distortion Correction' in the 'Preprocessing of Functional Data' chapter of the User's Guide, the Python Developer Guide, and the BV notebook 'Layer-fMRI-Imagery-Tutorial.bvnb'. |
| Huge VMR Files | Experimental support for huge VMR files with dimensions multiplying to a number of voxels beyond 2 GB (e.g. 1500 x 1500 x 1500 = 3.375 GB). Such datasets are, for example, used in ultra-high resolution anatomical brain imaging with voxel sizes below 100 micron. To handle these datasets, the NIfTI importer, 3D operations (including Metal GPU acceleration on macOS), and surface reconstruction and rendering. While reconstructed meshes from such datasets typically have more than 50 million triangles, those meshes can be interactively manipulated in the Brain Viewer. The introduced support for huge VMR files is experimental since not all operations in volume and mesh space have been tested and updated where necessary. Full support (limited by available memory) is expected in BV 25.0. |
Bug Fixes |
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| COPE EPI Distortion Correction | The BV internal COPE tool as well as the COPE plugin did sometimes not operate exiting with reporting 'NAN' values in the BV Log pane. It was also observed that COPE sometimes run very slowly. These issues have been fixed. |
| POIs -> VOIs | When creating VOIs from POIs using the 'Create VOIs' button in the 'POI Analysis Options' dialog, the created VOIs were not correct in the previous 24.2 versions. This issue has been fixed. |
| Empty Predictors | When one clicks 'GO' in the 'Single Study GLM' dialog after defining or loading a single-study design matrix containing empty predictors (all values are 0.0), the program provided the warning that empty predictors were found and that they will be removed when clicking 'Yes'. This worked as expected on Windows and Linux but did not work on macOS, i.e., execution was stopped. This issue has been fixed. |
| Parametric Weights | When defining predictors in the 'Single Study GLM' dialog from a protocol defining parametric trial condition weights, negative values were discarded if a millisecond protocol was used and either the option 'Subtract mean of weights' or 'Standardize weights' was selected in the 'Creation of parametric predictor' field of the 'Masking/Options' tab of the 'Single Study GLM Options' dialog. This issue has been fixed. |