Image Analysis

• Automatic organ segmentation on CT (see figure below)
• Automatic organ segmentation on MRI (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

Organs that can be automatically segmented on a CT scan using Totalsegmentator.

Organs that can be automatically segmented on a MRI scan using Totalsegmentator.

• 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 3D photocephalometric measurements of the skull (e.g. cephalic index, OFC, orthogonal cranial slices, ICV)

• 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

• Automatic bone age assessment on hand DXA scans
• Comprehensive knee (structures) segmentation on MRI
• Comprehensive hip (structures) segmentation on MRI
• Different biomarkers for a variety of hip disorders on MRI

• Skin cancer risk assessment