ERN CRANIO Guideline Imaging
Index
This Page is created by the Imaging working group and is intended as a living guideline document.The working group brings together clinicians, engineers, computer scientists, and researchers from ERN CRANIO centres. Together, we exchange expertise, establish best practices, and initiate collaborative imaging projects across the network. Our current focus includes image standardisation, objective outcome assessment, multimodal imaging, computational image analysis, artificial intelligence, and open-source software development.
BACKGROUND INFORMATION
Non-invasive Imaging
Integrated Imaging
Non-invasive Imaging
Three-dimensional (3D) imaging enables objective, quantitative assessment of craniofacial morphology and supports diagnosis, treatment planning, and longitudinal follow-up. Among these technologies, 3D photogrammetry provides a safe, radiation-free approach to reconstructing detailed 3D surface models from multiple photographs, without sedation or ionising radiation. Because it is quick, non-invasive, and easy to repeat, it is particularly well suited for the long-term follow-up of children with craniofacial conditions.
The working group has a strong focus on advancing the clinical implementation of 3D photogrammetry. Rather than relying on subjective clinical assessment or repeated imaging with ionising radiation, it enables objective, reproducible assessment of craniofacial shape throughout growth and treatment. These quantitative measurements support clinical decision-making, facilitate multicentre research, and contribute to a better understanding of craniofacial disorders and treatment outcomes.
Integrated Imaging
The working group is increasingly focusing on how imaging modalities can complement one another. Rather than considering 3D photogrammetry, CT, MRI, and emerging imaging techniques in isolation, we investigate how information from each modality can be integrated to improve diagnosis, treatment planning, longitudinal follow-up, and the evidence base for future clinical guidelines. By combining imaging modalities with computational methods, we aim to maximise the clinical information obtained from each acquired scan, reduce unnecessary repeat imaging, and support more efficient and patient-centred diagnostic pathways.
