Why Medical Imaging Datasets Are Getting Larger – and What It Means for DICOM Image Exchange
dicomdrop’s upload size has increased as medical imaging datasets continue to grow in size. Advances in scanner technology, higher-resolution acquisitions, thinner image slices, and multi-modality imaging are generating progressively data-rich studies across both clinical routine and research.
To address these evolving requirements, dicomdrop now supports zipped DICOM uploads of up to 10 GB, increasing the previous upload limit of 4 GB.
The update reflects growing demand from physicians, researchers, and clinical trial teams who routinely exchange large medical imaging datasets for patient referrals, second opinions, clinical practice, clinical trials, and investigator-initiated studies (IITs).
The increase in dicomdrop’s upload size is particularly relevant for imaging-intensive applications where imaging data volumes continue to expand. Examples include cardiac CT, intravascular imaging (OCT and IVUS), MRI, PET/CT, and other advanced imaging modalities.
Automatic upgrade for existing users
This update is available immediately to all dicomdrop users.
No action is required from current users. Existing dicomdrop credits have been upgraded automatically. They can immediately be used for uploads up to the new 10 GB limit.
Secure DICOM Exchange for clinical and research workflows
dicomdrop supports secure and efficient DICOM image exchange for healthcare professionals and researchers in clinical practice and clinical research environments.
By increasing the maximum upload size to 10 GB, users can handle large imaging files more efficiently without requiring additional infrastructure.
DICOM anonymisation and regulatory compliance
The platform supports anonymisation of patient information contained in DICOM metadata. Combined with a controlled retention period of 10 days, dicomdrop helps organisations transfer medical imaging data while supporting privacy and compliance requirements.
Learn more
Learn more about why imaging datasets are growing in our latest blog post.
👉 Read the blog post on medical imaging workflows and data growth.