3D Radiological Data Viewer
About the 3D Radiological Data Viewer
With the 3D Radiological Viewer, radiological data is visualized within an interactive viewer in the article on ScienceDirect.
The 3D Radiological Viewer provides authors and readers with many benefits. It:
- Enables authors to enrich and extend their articles by optimally expressing the results of research through improved visualization
- Provides a way for authors to highlight their findings in a visual and easily accessible manner
- Helps readers quickly understand the relevance of a research paper
- Lets readers visualize research data for deeper insights and access the underlying data
- Contributes to a better understanding of experiments described in the article and encourages the reproducibility of science
The 3D Radiological Data Viewer visualizes data obtained from MR, CT, US, etc. imaging modalities in DICOM format. This enables readers to:
- Browse through available radiological datasets
- Explore radiological data as 2D series, 2D orthogonal MPR (multiplanar reconstruction), 3D volume rendering and 3D MIP (maximum intensity projection)
- Zoom, rotate and pan 3D reconstructions
- Cut through the volume
- Change opacity and threshold level
- Download the data
- Open the viewer in a detached full-screen mode
The Viewer was developed in collaboration with Kitware SAS and supports all major browsers and mobile devices.
Anterior mediastinal masses in the Framingham Heart Study: Prevalence and CT image characteristics – European Journal of Radiology Open
Evaluation of MR issues for the latest standard brands of orthopedic metal implants: Plates and screws – European Journal of Radiology
Custom-fit radiolucent cranial implants for neurophysiological recording and stimulation – Journal of Neuroscience Methods
The 3D Radiological Viewer supports the DICOM data format.
DICOM files may include patient information and will be available to download from ScienceDirect. Therefore your data must be anonymized prior to submission. This means that all confidential metadata must be removed, and series of images must be anonymized. You will need to confirm that your data has been anonymized by answering the mandatory question in the online submission system.
Anonymization refers to irreversibly severing a dataset from the identity of the data contributor in a study to prevent any future re-identification, even by the study organizers under any condition.
The HIPAA Booklet states two methods that are acceptable:
- Remove all data defined by 18 classes of identifiers (the "safe harbor" method)
- Obtain confirmation from a qualified statistician that the risk of identification is very small (the "expert determination" method)
We highly recommend you use the first method. There are many tools to perform anonymization, including:
- Dicom Cleaner
- MIRC DicomEditor
- Conquest DICOM
- The MIRC DICOM Anonymizer (DicomEditor)(use the "Download software" link)
- ORS Visual Lite DICOM viewer with anonymization function
- MATLAB Dicomanon
Please zip each dataset; the recommended size of a single uncompressed dataset is ≤200 MB. Prepare a short informative description for each data file before submission.
In your manuscript, you can indicate where you want the material to appear in the article, for example by writing ‘DICOM File1 here’.
- Submit your dataset(s) in DICOM format with your manuscript via the online submission system
- Multiple datasets can be submitted with a single article
- Submit each zipped dataset via the online submission system using the “3D radiological data” submission category
- Enter your short description(s) in the "Description" field when uploading your data
Note: Please ensure that all DICOM files are anonymized prior to submission. Please do not upload your files if you have any doubts about whether anonymization has been done properly.
3D Radiological Viewer will appear in the online version of your article. The PDF/printed version of your article will feature static figures only (if those figures are included in the article manuscript).
Instructions are included in the reviewer invitation letter.
For more information, read the general reviewer instructions for Content Innovation.