C. Darolti

Papers

Total Citations

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About

C. Darolti is a researcher whose work sits at the intersection of medical imaging and computational enhancement, with a particular focus on improving X-ray diagnostics through advanced image processing. Her most notable contribution addresses the challenge of achieving super-resolution in X-ray imaging using mobile C-arm devices—a critical tool in surgical and interventional settings. In her 2009 paper, Darolti demonstrated how to reconstruct high-resolution X-ray images from a series of lower-resolution acquisitions, effectively overcoming the physical limitations of portable imaging hardware. This work has garnered 6 citations and laid foundational groundwork for enhancing image quality without requiring costly equipment upgrades. By applying super-resolution techniques—traditionally used in optical imaging—to the medical domain, Darolti has helped bridge the gap between computational methods and clinical practicality. Her research is particularly valuable for improving visualization in real-time procedures, where mobile C-arms are essential but often produce suboptimal image quality. For students and researchers in biomedical engineering and computer vision, Darolti’s work offers a compelling example of how algorithmic innovation can directly impact patient care and diagnostic accuracy.