The Image Magick suite is used to manipulate frames and movies within VivoQuant. These options are particularly useful for generating appealing and informative dynamic movies for use in conferences and presentations.
The Image Magick functions can be reached by selecting the** and Movie** option of the Tools menu.
The Image Magick options available in VivoQuant provide an excellent tool for generating informative movies for dynamic and gated data acquisitions. These tools allow users to combine datasets in meaningful ways to reflect the dynamic nature of the physiological processes taking place.
Five options are provided in the Image Magick suite:
- Split Movie into Frames
- Join Frames to Movie
- Change Movie Delay
- Image to Poster
- Image to Capture
Split Movie Into Frames
This option takes a movie, options include
.mpeg; and splits it into individual frames, options include
Join Frames to Movie
This tool provides the opposite function of the previous tool, allowing users to take individual s, options include
.tif; and combine them into a movie, options include
Depending upon the size and style of movie made, the default frame time may be too fast or too slow. This tools allows users to select a pre-existing movie and change the frame time (in milliseconds).
Image to Poster
The Image Magick suite enables the creation of high-quality s; the kind of s often used at conferences and in presentations. To help facilitate the ease of use of such s, this option automatically allows the user to place an into a poster. This function is not yet implemented. Please check back soon.
Image to Capture
The Image to Capture feature allows an image or movie to be loaded from a file on the local machine, edited, and then re-saved. The Capture Viewer also supports importation of the image/movie into a DICOM/iPACS repository by using the Save Capture button.
How to make dynamic movies
Dynamic and cardiac-gated s and movies are a useful tool for illustrating the changing distribution of radioactivity governed by a dynamic physiological process. This guide provides step-by-step instructions on the proper generation of such files. Use the links to visit the VivoQuant Manual for more details on any particular feature.
Before using this guide, it is important to understand how to process s so that they are color-comparable across multiple frames. Matching color scales between two s is not enough to ensure that they are directly color-comparable. Instead, it is necessary to ensure that the colors in each correspond to the same physical voxel values. It is possible to achieve this relationship using the Min/Max tool to define the range of voxel values spanned across the color bar.
Load all relevant data sets. These data sets may be only SPECT s (as in this example) or a reference CT in addition to multiple SPECT images.
Use the Cropping Tool to select only the region of interest.
If desired, now is a good time to employ the Filtering Operator. Note that if the you check Input 3 and higher in the Select pull-down menu of the Filtering operator, then smoothing will be applied to loaded data sets not displayed in the Main Window, but visible in the Data Manager.
One of the most critical steps is the application of the Min/Max Tool. To begin with the tool, use the Re-Calc button to display the current minimum and maximum values being used for color scaling. Choose common Min/Max values across all three data sets. Use the Apply button to adjust the color scaling accordingly. The three visible data sets are now color-consistent: the same colors represent the same voxel values across each data set.
Save images for each data set using the Save Image option. The All s separately option in the Storage Type pull-down automatically saves five s (sagittal, coronal, transverse, MIP, all-in-one) simultaneously.
Use the Slice Control or appropriate Keyboard Shortcuts to toggle between visible data sets and save the appropriate s.
After collecting the images for the first three frames, use the Data Manager to save these processed frames (if desired) and then unload these data sets so that the next three frames in the queue will become visible data sets. All operations (such as Cropping, Projection, and Smoothing) that were applied to the original three data sets have also been applied to the queued data sets, with the exception of the Min/Max tool.
Ensure again that the minimum and maximum values are consistent across datasets, so that the newly loaded data sets are properly prepared. Save the images and data as described above.
After saving all desired images, generate the dynamic movie using the Join Frames to Movie option.
Select the images that you wish to be included in the movie. In this example, we use the all-in-one images to generate the movie.
Type in a name and choose a format type for the movie file. The default file format is
Finally, use the Change Movie Delay option to speed up or slow down the movie frame rate.