The following limitations and anomalies have been identified as of the current release. Limitations and anomalies can include known errors, flaws, failures, or faults that cause the product to behave in an unintended manner or produce an incorrect or unexpected result or known inconsistencies in its behavior that potentially may limit its applicability in specific workflows or usages.
Unresolved Anomalies Register
Summary | Description | User Impact |
|---|---|---|
Color-mapped images do not render correctly in Montage view. | When a user adds a color LUT to an image and then adds that image to the montage. The colored image does not display properly on the KO panel. | Review and interpret color-mapped images directly in the main viewport rather than relying on the Montage panel for color LUT visualization. Key images requiring color mapping should be assessed in the standard viewing layout prior to dictation. |
Issue with assigning hanging protocol to specific exam code. | Assigning a specific exam code should apply the HP config only to the selected exam code. | Configure hanging protocols at the modality level as a general setting, and manually adjust the layout as needed when reading exam types that require a different presentation. |
The Reset Annotations tool in the Viewer does not remove angle annotations. | When a user adds angle annotations to a viewport and applies the Reset Annotations tool, the angle annotations are not removed. All other annotation types are reset as expected. | Angle annotations can be removed manually by selecting and deleting each one individually. This issue does not affect image integrity, diagnostic accuracy, or patient safety. |
Users may be unable to delete a series. The series will not be deleted and will remain in the system. | When a user attempts to delete a series, the deletion may fail due to an error on the underlying API call and the user sees an error "Deleted 0/1 series." The series is not deleted and remains intact. | As a workaround, delete one image at a time or contact support to process the deletion at series level. Support can confirm the failure and identify the affected study via GCP logs using the Order ID. Note for support: If a series deletion failure occurs, the failure can be confirmed by support via GCP logs using the Order ID (session: <orderId>) present in the error log entry, which can be used to trace the affected study. |