![]() ![]() You can use the tools on the Translate panel to manually translate or rotate a dataset (see Registering Images Manually) or you can automatically register datasets with Dragonfly's feature-based registration workflows (see Registering Images Automatically). If required, adjust the position of one or more of the datasets that you plan to stitch so that any overlapped area is properly aligned.Preview the datasets in the same scene and in multiple orientations, recommended (see Multi-Image Visualizations).Load all of the datasets that you plan to stitch.Note In all cases in which the resolution of the original image data is changed, the geometry of the Stitch 3D Datasets box - which is calculated as the - will be maintained. You should note that increasing the number of pixels along any axis will decrease the corresponding spacing value, while decreasing the number of pixels along an axis will increase the corresponding spacing value. User defined matrix… Lets you choose the resolution of the output dataset as the number of pixels in the X, Y, and Z axes. Note User-defined voxel size selections are limited to a factor of 10 of the original image data. Conversely, decreasing the spacing along an axis will increase the number of pixels along that axis by upsampling. You should note that increasing spacing along an axis will reduce the number of pixels along that axis by downsampling. User defined voxel size… Lets you choose the required values for spacing in the X, Y, and Z axes, which determines the voxel size. Most precise… Uses the smallest voxel size of all datasets selected for the stitch operation. Lets you choose the resolution of the output dataset as follows: Will result in smoother looking images than Linear. Tricubic… This interpolation scheme goes one step beyond Linear by considering the closest 4x4x4 neighborhood of known pixels. Linear… Considers the closest 2x2 neighborhood and then takes a weighted average of these four pixels to arrive at its final interpolated value. Nearest… This basic interpolation scheme requires the least processing time because it only considers one pixel - the one closest to the interpolated point. Lets you choose the type of interpolation applied to stitch the selected datasets as follows: This is the recommended Blending option for most cases. Weighted… Intensity values will be smoothly adjusted between all datasets selected for stitching by applying a weighted average of the closest 2x2 neighborhood. If required, you can re-order the datasets in the list by dragging items up or down, as shown below. If there are no intersecting voxels in any dataset, then the out-of-bounds value will be applied. If there are not intersecting voxels in the dataset at the top of the list, then the values of the dataset below will be applied. This means that the values of the dataset at the top of the list will be applied directly to all corresponding voxels in the Stitch 3D Images box. No blending… In this case, voxel values will be assigned based on the order in which the datasets appear in the Stitch 3D Images dialog. Min… The minimum intensity values of all datasets selected for the stitch operation will applied to the voxels of the output image. ![]() Mean… The mean intensity values of all datasets selected for the stitch operation will be applied to the voxels of the output image. Max… The maximum intensity values of all datasets selected for the stitch operation will be applied to the voxels of the output image. Lets you choose a blending method for overlapped areas as follows: Out-of-bounds voxels are voxels that are included in the Stitch 3D Images box, but do not intersect with any of the voxels of the images selected for merging. Lets you assign a data value to voxels that are out-of-bounds. The initial size and orientation of the reference box, which appears automatically as the Stitch 3D Images Box in the Data Properties and Settings panel, is modeled on the selected datasets to provide the best initial fit. Lets you reset the reference box that determines the dimensions of the output dataset. The following settings are available for stitching volumetric datasets. ![]()
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