Papers
1
Total Citations
7
H-Index
1
About
Zijia Guo is a leading researcher in advanced medical imaging, with a primary focus on cone-beam computed tomography (CBCT) and interventional radiology. Her work addresses critical limitations in C-arm CT imaging, particularly the restricted axial coverage and cone-beam artifacts inherent in conventional circular short-scan trajectories. In her highly cited 2020 study, she pioneered the first implementation of the extended line-ellipse-line (LEL) trajectory on a state-of-the-art robotic angiography system, demonstrating a novel approach to significantly enhance three-dimensional imaging flexibility and quality. This contribution, garnering 7 citations, represents a key step toward more accurate and comprehensive intraprocedural imaging, directly impacting the precision of image-guided interventions. Guo’s research bridges the gap between theoretical trajectory optimization and practical clinical deployment, offering a tangible solution to longstanding challenges in C-arm CT. Her work is instrumental for researchers and clinicians seeking to improve diagnostic and therapeutic outcomes in interventional radiology, positioning her as an emerging authority in the evolution of robotic-assisted imaging systems.
Research Focus
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Top Papers
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