Viewing and/or Annotating Datasets and Dataset Images

Explains how to view and/or annotate a dataset's tabular data and image data.

Viewing and/or Annotating a Dataset's Tabular Data

Viewing and adding text notes to datasets.

Viewing a Dataset via Secure Access

When you click on a Dataset name, the dataset's page that opens contains two tabs: Analytics and Data. The Analytics tab is identical to the general analytics tab except it is limited to showing only the specific Dataset’s summary statistics. The Data tab can be used to directly view the Dataset's tabular data via Rhino's Secure Access feature. This feature provides zero-footprint visualization of tabular and image data, based on the project’s permissions policy. By default, a user can only use Secure Access on data that belongs to their workgroup.

Adding text notes to Datasets

Rhino FCP enables you to add case-level textual notes when Secure Access is enabled. Secure Access is enabled by default for Datasets from your own workgroup. Secure Access to remote cohorts must be provided by users from that remote workgroup by using the “Secure Access List” feature.

• To add text notes to a Dataset from your own workgroup - open the tabular viewer by clicking on your Dataset of interest in the Datasets view, then clicking the DATA tab.

• To add text notes to a Dataset from another workgroup - open the tabular viewer by clicking the relevant Secure Access List.

• The right-most column is always called Notes. This is an auto-generated column created whenever a Dataset is imported, unless one already exists.

• You can edit the text in the Notes column to add case-level notes. As these notes will be added to the Dataset, they can be used downstream as input for your code, e.g. as ground-truth labels.

• Saving notes: Once you add/edit a note, a bar will appear at the bottom of the screen indicating that there are unsaved changes. Simply click “ADD NOTES” to save your changes. You can make changes to multiple rows before saving.

NOTE: Saving changes to notes will produce a new Dataset version. When this happens, the platform will automatically make all previous versions (except the original V.0) inactive. The previous versions will be invisible to the user.

Viewing and/or Annotating a Dataset's Image Data within the Integrated OHIF Viewer

You can use this feature to add pixel-level annotations on DICOM.

Annotating a Dataset in Your Workgroup

To annotate a dataset from your workgroup, complete the following steps.

1. Open the integrated OHIF DICOM viewer from the tabular viewer by selecting your dataset of interest in the datasets view.

2. Select the Data tab, then click the DICOM UID for your study, series, or instance of interest.

3. The Open Health Imaging Foundation DICOM Image viewer appears.

Annotating a Dataset from a Different Workgroup

To annotate a dataset from a different workgroup, complete the following steps.

1. Open the tabular viewer by selecting the relevant Secure Access List.

2. Select the DICOM UID for your study, series, or instance of interest.

1. The Open Health Imaging Foundation DICOM Image viewer appears.

Adding Pixel-Level annotation

DICOM visualization and annotation via the Rhino FCP is facilitated by an integrated version of the Open Health Imaging Foundation (OHIF) viewer, which comes equipped with standard tooling for visualization and manipulation of DICOM images.

The following annotation types supported:

• Rectangle

• Line/Length

• Arrow

• Angle

• Ellipse

To add a pixel-level annotation to a DICOM file, open the file using the OHIF viewer, select your preferred annotation, and create your annotation on the image. To save the annotation(s), click on Measurements -> Save measurements.

NOTE: Saving an annotation on the OHIF viewer will create a new DICOM SR file which references the original DICOM file and produce a new Dataset version. When this happens, the platform will automatically make all previous versions inactive (and invisible to the user) except the original V.0 and any other version that is already associated with a specific Code Run.

For more information on how to use the viewer, see the Open Health Imaging Foundation Viewer Guide: https://docs.ohif.org/user-guide/viewer/