Computer vision-based personal identification using 2D maximum intensity projection CT images

Question Computer vision-based personal identification holds great potential, but it remains unclear whether maximum intensity projection images from thoracic-CT scans are suitable for this purpose. Findings Maximum intensity projection images of the thorax are highly individual, with computer vision-based identification achieving nearly 100% rank-1 accuracy across a potential 8177 identities. Clinical relevance Radiology holds a vast collection of reference images for a computer vision database, enabling automated personal identification in emergency examinations. This improves patient care and communication with relatives by providing access to medical history.