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Xianghua Lu
Researcher at University of Rochester
Publications - 15
Citations - 178
Xianghua Lu is an academic researcher from University of Rochester. The author has contributed to research in topics: Flat panel detector & Breast imaging. The author has an hindex of 7, co-authored 15 publications receiving 172 citations.
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Proceedings ArticleDOI
Evaluation of flat panel detector cone beam CT breast imaging with different sizes of breast phantoms
TL;DR: The results demonstrate that the CBCTBI can detect a few millimeter-size simulated carcinoma and ~ 0.2 mm calcification with clinically acceptable mean glandular doses for different size breasts.
Proceedings ArticleDOI
A novel cone beam breast CT scanner: system evaluation
Ruola Ning,David Conover,Yong Yu,Yan Zhang,Weixing Cai,Ricardo Betancourt-Benitez,Xianghua Lu +6 more
TL;DR: The results indicate that the CBBCT imaging system has much better detectability of small breast tumors compared to the conventional mammography system and all phantom masses and calcifications as well as human subjects' masses, calcifications and abnormalities can be detected faithfully using theCBBCT technique.
Proceedings ArticleDOI
Preliminary System Characterization of Flat Panel Detector-based Cone Beam CT for Breast Imaging
Ruola Ning,Yong Yu,David Conover,Xianghua Lu,Huiguang He,Zikuan Chen,Linda Schiffhauer,Jeanne Cullinan +7 more
TL;DR: The results indicate that the FPD-CBCTBI technique effectively removes structure overlap and significantly improves the detectability of small breast tumors, and demonstrates CBCTBI offers good image quality with the radiation dose level less than or equal to that of conventional mammography.
Proceedings ArticleDOI
Real-time flat-panel detector-based cone beam volume CT breast imaging: phantom and specimen study
Ruola Ning,David Conover,Yong Yu,Linda Schiffhauer,Xianghua Lu,Jeanne Cullinan,Arvin E. Robinson +6 more
TL;DR: The results indicate that the CBVCTBI technique effectively removes structure overlap and significantly improves the detectability of small breast tumors, and shows good correlation with pathology images with the radiation dose level less than or equal to that of conventional mammography.
Proceedings ArticleDOI
A novel cone beam breast CT scanner : Preliminary system evaluation
Ruola Ning,David Conover,Yong Yu,Yan Zhang,Weixing Cai,Xianghua Lu,Richardo Betancourt-Benitez +6 more
TL;DR: A computer simulation study and preliminary phantom studies are performed to prove the feasibility of developing an FPD-based cone beam CT breast imaging technique for a small size normal breast phantom and to predict the image performance of the novel cone beam breast CT scanner.