In contrast to a conventional computed tomography (CT) scanner, which provides contrast based on the attenuation of X-rays from different materials, High Resolution Peripheral Quantitative CT (HR-pQCT), determines the actual bone mineral density and can quantify the three-dimensional microarchitecture of the peripheral extremities with micrometer resolution. These insights can aid in diagnosing metabolic bone diseases, such as osteoporosis, and monitoring their progress and treatment.
However, this method's long acquisition time of approximately two minutes presents a major drawback, resulting in high susceptibility to patient motion and, thus, artifacts in the images produced.

This project aims to develop methods for automatically estimating motion artifact in a given image and compensating for them as needed. In this project, we collaborate with the department of osteology and biomechanics at UKE.