Digital Image Processing for Clinical Research
We have access to a wide range of fantastic (AI) tools, developed by our own researchers. With the help of our experienced research software engineers, we can reuse these for new clinical applications.
In this section we provide you with some examples of digital image processing that can be performed, organized per body part. This list is not extensive and is growing every day, so don’t hesitate to contact us if your specific tool is not listed below!
- Automatic organ segmentation on CT (see figure below)
- Automatic organ segmentation on a variety of modalities
- Minimally interactive soft-tissue tumor segmentation on MRI or CT
- Automatic tumor segmentation (and morphology measures, e.g. RECIST) on a variety of modalities
- Automatic radiomics analysis to develop prediction models on different modalities
- Automatic tumor quantification (e.g. diagnosis) using previously developed radiomics model (e.g. liver tumors, sarcoma, rectal tumors) on MRI or CT
- Super-resolution method for multi-slice MRI
- Automatic brain (region) segmentation/volume on MRI
- Analysis of white matter tracts on brain diffusion MRI
- Arterial spin labelling (ASL) quantification on brain MRI
- White matter hyper intensities segmentation on brain MRI
- Automatic glioma segmentation on MRI
- Collateral scoring for stroke patients on CTA
- Brain vessel segmentation on CTA
- Automatic TICI scoring for stroke patients on DSA
- Brain atlas probability maps
- Automatic segmentation of cone photoreceptors in Adaptive Optics Flood Illumination Opthalmoscopy (AO-FIO) images
- Quantification of epicardial fat on CT
- Airway measurements on lung CT
- Different biomarkers for a variety of lung diseases (e.g. CF, BE, BPD, PCD, ILD, CLA) on lung CT
