# Importing Reference Medical Data During Asset Import

You may upload reference medical data (.nrrd, .nifti) which users will be able to switch to during annotation.

<figure><img src="/files/KOTJ9jJIetb3cgazts5g" alt=""><figcaption></figcaption></figure>

## How to Import Reference Medical Data

Prepare a JSON like the following, where the URL in the `data` property points to the main medical asset to annotate, and the URLs in the `overlay` list point to the assets to use as reference. The order of the URLs will determine the order in which references will be presented to the annotator in the dropdown.

The following JSON will import one asset with three references:

```json
[
  {
    "data": "https://example.com/assets/medical/nrrds/0522c0419.nrrd",
    "overlay": [
      "https://example.com/assets/medical/nrrds/CT-chest.nrrd",
      "https://example.com/assets/medical/nrrds/RegLib_C01_1.nrrd",
      "https://example.com/assets/medical/nrrds/TCGA-CV-7236.nrrd"
    ],
    "externalId": "patient-study"
  }
]
```

From your project dashboard, go to the *Assets* tab and click on *Add Data*. Then, enter the *Cloud Storage* section and drag and drop your JSON on the file upload field. Then, press on *Upload*. Your multi-image asset(s) will be uploaded.

If your assets are located in a private storage, please ensure you select the correct storage from the *Storage Method* dropdown on the left-hand side of the screen.

<figure><img src="/files/h8FtiURdLomX0ex4GHAA" alt=""><figcaption></figcaption></figure>

Assets uploaded this way will have a dropdown, allowing annotators to navigate between the volumes in the dataset.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.imerit.net/data/importing-assets/importing-reference-medical-data-during-asset-import.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.