MALBOT - Research project

Osteoporosis is a skeletal disease characterized by a decrease in bone mass, degradation of bone microstructure, and thinning of cortical bone. It represents a major public health problem leading to an increased risk of fractures compromising the quality of life of patients. High-resolution in vivo bone imaging is limited by the radiation dose a patient can receive. The objective of the MALBOT project was to develop Super-Resolution (SR) models based on Deep Learning to obtain a better description of bone microstructure and thus better predict and understand osteoporosis. After demonstrating the inability of state-of-the-art methods to efficiently reconstruct bone microarchitecture despite improved visual quality, we developed a new family of SR methods guided by morphometric information of the bone.