This article was initially published by the RSNA Daily Bulletin on November 30, 2016.
Dr. Laura Ortiz-Terán is a clinical radiologist and neuroimaging research scientist at the MGH Gordon Center. She works with Dr. Jorge Sepulcre to investigate the neuroplastic changes occurring in blind individuals, adults and children, using graph theory based resting-state functional connectivity analysis.
In the featured article of the latest volume of Medical Physics, researchers of the Gordon Center have presented a complete data acquisition and processing framework for respiratory motion compensated image reconstruction (MCIR) using simultaneous whole body PET/magnetic resonance (MR) and validated it through simulation and clinical patient studies.
By developing and validating a PET/MR pulmonary imaging framework, the authors show that simultaneous PET/MR, unique in its capability of combining structural information from MR with functional information from PET, shows promise in pulmonary imaging.
Joyita Dutta, Chuan Huang, Quanzheng Li and Georges El Fakhri. Pulmonary imaging using respiratory motion compensated simultaneous PET/MR. Med Phys 42, 4227 (2015);[Link to article]
Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements.
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.
- 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.
Publication in Nature
Charalambos Kaittanis, Travis M. Shaffer, Anuja Ogirala, Santimukul Santra, J. Manuel Perez, Gabriela Chiosis, Yueming Li, Lee Josephson & Jan Grimm. Environment-responsive nanopores for therapy and treatment monitoring via molecular MRI quenching.
Nature Commun. 5, March 2014
[PubMed link] [Nature link]
Reprinted by permission from Macmillan Publishers Ltd: Nature Communications, copyright 2014
Researchers of the Gordon Center (previously CAMIS) have recently presented an approach to respiratory motion correction using simultaneous PET/MR that yields unprecedented improvements in image quality by taking advantage of MR motion information during the PET scan. The approach was tested and validated in rabbits and non-human primates and is now being evaluated in the clinical setting. [2012 JNM Cover]