Dr. Heidi Jacobs along with Dr. Keith Johnson have published a paper in Nature Neuroscience entitled “Structural tract alterations predict downstream tau accumulation in amyloid-positive older individuals”.
This article was published in the Nuclear & Plasma Sciences Society newsletter of September 2017 Positron emission tomography (PET) enables 3D visualization of vital physiological information, e.g., metabolism, blood flow, and neuroreceptor concentration by using targeted radioisotope-labeled tracers. Quantitative interpretation of PET images is crucial both in diagnostic and therapeutic contexts. As a result of […]
Yuan H, Wilks MQ, El Fakhri G, Normandin MD, Kaittanis C, Josephson L (2017) Heat-induced-radiolabeling and click chemistry: A powerful combination for generating multifunctional nanomaterials. PLoS ONE 12(2): e0172722. doi:10.1371/journal.pone.0172722 Abstract A key advantage of nanomaterials for biomedical applications is their ability to feature multiple small reporter groups (multimodality), or combinations of reporter groups and […]
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 […]
Researchers at Massachusetts General Hospital (MGH) have successfully used PET imaging to measure inflammation in the brain of a person living with amyotrophic lateral sclerosis (ALS). ALS is a progressive neurodegenerative disease that affects nerve cells in the brain and the spinal cord. Eventually, people with ALS lose the ability to initiate and control muscle movement, which […]
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.
Statistical Computing in Nuclear Imaging, authored by a member of the center Dr. Arkadiusz Sitek, was recently published by the CRC Press.
The book introduces aspects of Bayesian computing in nuclear imaging. It 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, […]