diff --git a/atlas/templates/atlas/help.html b/atlas/templates/atlas/help.html index eab9f111..ba40b47e 100644 --- a/atlas/templates/atlas/help.html +++ b/atlas/templates/atlas/help.html @@ -52,8 +52,9 @@
If you have annonymised dicom files already exported you can uploading them directly using this form
+If you have annonymised dicom files already exported you can uploading them directly on this page using this page
To do so you will have to first export the files from the PACs system.
+Once uploaded the series will be available to be imported into cases {% endblock %} diff --git a/atlas/templates/atlas/new_uploads.html b/atlas/templates/atlas/new_uploads.html index a31d6009..aab3bed3 100644 --- a/atlas/templates/atlas/new_uploads.html +++ b/atlas/templates/atlas/new_uploads.html @@ -11,14 +11,15 @@
This form allows you to quickly upload dicom files to the server. Select the folder containing the dicom files below. If you wish to upload files directly from Insight you may rather use the Uploader tool.
-This form allows you to quickly upload dicom files to the server. Select the folder containing the dicom files below. If you wish to upload files directly from Insight you may prefer to use the Uploader tool.
+Only valid dicom files will be uploaded.
It is possible to upload multiple files by selecting the parent (containing) folder. Folders within will then be searched recursively for any valid dicom files.
Files to be uploaded will be displayed below.
DICOM tags will be checked to see if valid accession or hospital numbers are present but no annonymisation will be performed.
-By default a basic OCR will also be performed to check for burned in details on images, the is resource intensive and can be disabled if you know the content you are uploading does not feature any patient details.
+An attempt to detect duplicates will be made by calculating a hash of the pixel data in the DICOM files. If this check is not run and the files are uploaded they will be rejected.
+If enabled a basic OCR will also be performed to check for burned in details on images, this is resource intensive and can be disabled if you know the content you are uploading does not feature any patient details.