GE HEALTHCARE
DIRECTION 5461425-8EN, REVISION 6 BRIVO XR118 SERVICE MANUAL
Chapter 6 - - Calibration Page 159
The acquisition workstation can send two types of annotations: L/R markers or custom text.
Annotations may impact image display on PACS.
a.) Open the PACS Test Images 1, 4, 5, 6, 7, and 8
b.) Check if the display of the images is identical for images 1, 4, and 5
Record results in Table 6-2, line number 12
c.) Check if the display of the images is identical for images 6, 7, and 8
Record results in Table 6-2, line number 13
d.) Review the histogram for each images
Annotations may also change what the histogram looks like for each image. The L/R
annotations are burned into the image data, and therefore appear to stretch or compress the
histogram.
8.) Multiple VOI-LUTs
As indicated above, the GE acquisition workstation is capable of sending 3 VOI-LUTs in the
DICOM header. Some PACS recognize these 3 VOI-LUTs and allow the user to change
between each VOI-LUT. The user can change VOI-LUTs on PACS by selecting Normal,
Harder, or Softer options.
a.) Open PACS Test Image 3 on PACS to test the Normal/Harder/Softer options on PACS.
Record results in Table 6-2, line number 14.
b.) Harder should cause the image to have more contrast (smaller WW).
c.) Softer should cause the image to have lower contrast (larger WW).
Note: The three options on PACS, Normal/Harder/Softer, should not be confused with the same
three options on the acquisition workstation. The three options on the acquisition
workstation changes the values of the WW before the VOI-LUT is calculated and the
image is sent to PACS. The 9 PACS Test Images are not intended to test the three
options on the acquisition workstation.
9.) CR-Fallback
The acquisition workstation is capable of sending images as CR-modality if the PACS cannot
support or is configured to reject the DX-modality.
CR-Fallback effectively sends all images as Burn-on-Send.
This scenario should only be tested if CR-modality images are required on PACS or if the
PACS does not support DX modality images.