Outlining of Brain Structures

The result of the brain structure transformation is shown on the BRAIN SEGMENTS page. The image on the BRAIN SEGMENTS tab is the transformed atlas with integer labels as the pixel values. It is fused with the MR image.

Result Space

There are three different options to evaluate the PET image, which can be configured using the Result space radio button. The information visualized on the page is updated as soon as the configuration is changed. The image display shows the MR image transformed to the selected result space together with the brain structures.

The Result space options are:

1. Atlas: With this setting the PET image is transformed to the MNI space and the original structures of the N30R83 atlas can be applied to it.
   
2. Input, MR: With this setting the PET image and the N30R83 structures are transformed to the MR space.
   

Input, PET: With this setting the N30R83 structures are mapped to the PET space and statistics is calculated with the original PET values.

Sulci Deformation

The Sulci deformation option instructs the program to perform an anatomical optimization of the VOIs obtained from the maximum probability map approach. Based on the MR image, the VOI boundaries are adjusted such that the border should essentially follow the sulci bottoms.

Intersection of N30R83 Structures with Gray Matter

The original N30R83 structures cover the whole brain. Users can take advantage of the gray matter probability to restrict the structures to pixels with a high probability of belonging to gray matter. This masking is controlled by the elements in the Mask by GM area.

There is a choice between two types of probability information:

• Segments means that the binary information in the segment label image is applied. Here, no thresholding is necessary to obtain a GM mask.
• Probability means that a simple threshold is applied to a GM probability map to create a GM mask. In this case, a Standard probability map can be used which represents a population average, or the Individual GM probability map resulting from the actual MR segmentation. This latter should be the preferred choice unless the segmentation fails.

The threshold slider allows defining the lower threshold of the probability map for creating the mask. The higher the threshold value, the thinner the cortical structures become. The illustration below shows individual masking at three increasing probability thresholds. The standard mask will result in broader structures at the same probability threshold.

Note that the central structures are not affected by masking in the example above, because the box Mask basal nuclei is not enabled. If the option is enabled, the central structures are also shrinking, as illustrated below. However, because of the low probability levels in that area, the reduction may become too severe. Therefore, masking of the basal nuclei will usually remain disabled.

Intersected VOIs and Partial Volume Correction (PVC)

VOI-based PVC correction methods only work properly when all the activity contained in the brain is included in VOIs. Therefore, in the case of VOI masking, PNEURO will automatically create the complementary VOIs, i.e. the VOIs masked with the gray matter pixels below the threshold. These complementary VOIs will be used for the PVC calculation, but will not be visible in the user interface and in the result statistics.

Structure Outlining

Once the result space and gray matter masking have been specified, the brain structures are fully defined and can be outlined to create contour VOIs. This process is started with the Outline action button.