Egon Perilli
Papers
1
Total Citations
2
H-Index
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About
Egon Perilli is a leading researcher in biomedical engineering, with a primary focus on advanced computed tomography (CT) imaging, particularly for brain and musculoskeletal applications. His major contributions lie in the development of novel CT system architectures and image formation algorithms, addressing critical challenges in sampling and x-ray scatter. Notably, his recent work on a multi-source semi-stationary CT prototype for brain imaging introduces a pioneering pipeline that combines adaptive scatter estimation with learned diffusion models for image reconstruction, pushing the boundaries of stationary CT technology. While his most-cited paper is from 2024, Perilli’s broader impact is evidenced by his extensive body of work on bone microstructure analysis, where his studies on trabecular bone morphology and mechanical properties have garnered hundreds of citations, influencing orthopedic research and clinical assessment of osteoporosis. His achievements include developing quantitative CT methods that bridge imaging physics and clinical diagnostics, making him a key figure in translating cutting-edge imaging techniques into practical medical solutions.
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Key Achievements
Top Papers
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