High Performance Shared Memory Computer
Dr. Georges El Fakhri, director of the Gordon Center (previously CAMIS): In the last decade we have seen tremendous advances in imaging technology in part thanks to the innovations in data intensive computing technology. As a result of these advances and research we are doing at CAMIS, scientists and doctors will be able to utilize high-quality, real-time diagnostic imaging to increase diagnostic accuracy and decrease risks to patients. With the help of technology like SGI's, radiology research is able to take a route that will facilitate increased knowledge about patients and fuel remarkable advances in the medical industry. [Press Release]
Recent publications are listed below.
For a full list of publications, please see the Publications page.
- W. Zhu, Q. Li, B Bai, PS Conti, RM Leahy. Patlak image estimation from dual time-point list-mode PET data. IEEE Trans. Medical Imaging, in press, 2014
- Y. Petibon, C. Huang, J. Ouyang, T. G Reese, Q. Li, S. Syrkina, Y-L Chen and G. El Fakhri. Relative role of motion and PSF compensation in whole-body oncologic PET-MR imaging. Medical Physics, in press, 2014
Bai B, Lin Y, Zhu W, Ren R, Li Q, Dahlbom M, Difilippo F, Leahy RM. MAP reconstruction for Fourier rebinned TOF-PET data. Phys Med Biol. 2014 Feb 21; 59(4):925-49.
View in: PubMed
- Y. Lin, J. P. Haldar, Q. Li and R. M. Leahy. Sparse Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET. IEEE Transactions on Medical Imaging. 2014; 33(1):173-185.
Guo J, Guo N, Lang L, Kiesewetter DO, Xie Q, Li Q, Eden HS, Niu G, Chen X. 18F-Alfatide II and 18F-FDG Dual-Tracer Dynamic PET for Parametric, Early Prediction of Tumor Response to Therapy. J Nucl Med. 2014 Jan; 55(1):154-60.
View in: PubMed