Gordon Center for Medical Imaging

09/29/2022

A new paper from the Gordon Center on a manifold learning-based framework for reconstructing high framerate dynamic MR from highly undersampled data is now available from IEEE TMI

Early Access Paper Just Posted: A linear tangent space alignment (LTSA) framework that exploits the intrinsic low-dimensional manifold structure of MR signals to reconstruct dynamic images from under-sampled (k, t)-space data. Application to cardiac imaging demonstrates improved image quality over conventional methods. Read the paper: https://ieeexplore.ieee.org/document/9895283

09/01/2022

Congratulations to Dr. Heidi Jacobs and Dr. Keith Johnson on the recognition they received from International Conference 2022 (de Leon Prize and Lifetime Achievement Award, respectively)
https://gordon.mgh.harvard.edu/gc/awards-from-the-alzheimers-association-international-conference/

05/03/2022

The accumulation of amyloid-beta and tau proteins disrupts the connections between brain regions associated with memory years before symptoms of Alzheimer's disease appear.

04/01/2022

The Gordon Center for Medical Imaging is looking for a at General Hospital ( ). The technologist will perform, assist and train others in research at the MGH Gordon PET Core. The individual must be familiar with /CT and /CT imaging modalities. He/she must be able to administer radioisotopes to human subjects and maintain appropriate records indicating adherence to clinical research protocols. Must be a certified radiologic technologist (nuclear medicine) in Massachusetts. or CT* ( certification required within 1 year of hire).
For more information, see these MGH :

https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3190926

https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3193195

02/04/2022

MGH Thrall Innovation Grants Awarded to Xiang Li and Junfeng Wang for "Chest Radiographs-based Lung Cancer Screening by DeepProjection" and "Development of a 12/15-LOX PET imaging ligand to investigate therapeutic drug development for hemorrhagic stroke"

11/16/2021

The annual Mass General Research Institute (MGRI) image awards designated a photo of the Gordon Center PET core technologists as a runner up in the Humans of MGRI category.

https://gordon.mgh.harvard.edu/gc/photo-by-of-pet-technologists-receives-recognition-in-mgri-image-awards/

09/22/2021

In a new publication in Science Translational Medicine, the
Jacobs and Johnson labs have used and to show that the is associated with features of .

https://gordon.mgh.harvard.edu/gc/locus-coeruleus-integrity-as-indicator-of-alzheimers-disease-pathology/

08/10/2021

Gordon Center Assistant Professor Dr. Pedro Brugarolas, PhD, has received the 2021 American Society for Neurochemistry Jordi Folch-Pi Award.
Dr. Brugarolas’ research focuses on developing novel PET ligands to understand the chemistry on the brain
More: https://gordon.mgh.harvard.edu/gc/dr-brugarolas-receives-asn-jordi-folch-pi-award/

06/21/2021

We are pleased to share that three Gordon Center members have received Young Investigator Award (YIA) recognition for their work presented at the Society of Nuclear Medicine and Molecular Imaging Annual Conference.

05/13/2021

Congratulations to our medical director, Dr. Ruth Lim, on her election as chair of the American Board of Nuclear Medicine!

04/29/2021

The Gordon Center for Medical Imaging at MGH has an opening for highly qualified individuals at the post-doctoral level to work with Dr. Heidi Jacobs. The Jacobs lab is focused on improving the early detection and early treatment of Alzheimer’s disease. The lab focuses on the neuromodulatory subcortical nuclei, in particular the locus coeruleus, using a variety of approaches, including 7T MRI, PET imaging, pupil measurements, physiological recording, blood-based markers and cognitive assessments. This postdoc will be involved in a new NIA-funded R01 project using 7T imaging and non-invasive stimulation of the vagus nerve to modulate cognitive performance and locus coeruleus activity in the brains of older individuals at risk for Alzheimer’s disease. Our team and this project are closely affiliated with the Harvard Aging Brain Study (HABS). Ideal start date is around June 2021. Most of the work in this project will be performed at the Athinoula A. Martinos Center for Biomedical Imaging, Charlestown Navy Yard. The candidate will be part of ongoing collaborations and be able to work in a stimulating and inspiring environment.
Candidates should have a Ph.D. in Cognitive Neuroscience, Computational Neuroscience, Medical Physics, Computer Science, Biomedical Engineering or related disciplines. Strong analytical, quantitative and programming skills are essential (e.g., fMRI-physiological data analyses, data modeling, simulations). Prior experience in fMRI, non-invasive neurostimulation methods and physiological investigation is advantageous. The candidate should be highly motivated, a strong communicator, possess internal drive to learn independently, but also be comfortable with working as part of a larger collaborative team. A real necessity is a passion for science, strong scientific writing and organizational skills, and a positive attitude. Experience in Alzheimer’s disease dementia or aging would be beneficial.

MGH & HMS are equal-opportunity, affirmative action employers. Women and minority candidates are encouraged to apply.

The successful candidate will have joint appointments at MGH and HMS. If interested, please send your CV, letter describing interests, background, major achievements, skills, goals and contact information for three professional references. Please send application materials to Dr. Heidi Jacobs, Assistant Professor of Radiology

04/29/2021

Position:
The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) in Boston, MA has an immediate opening at the postdoctoral level to work on research projects related to PET and MR image analysis, image restoration and image reconstruction.

The projects are funded by NIH, aiming to utilize machine learning-based image analysis to improve the diagnosis and progression tracking for Alzheimer’s disease (AD) and Neuroendocrine tumor (NET). The projects are based on cooperation with Harvard Aging Brain Study (HABS) and MD Anderson Cancer Center (MDACC).

Qualifications:
Applicants should have earned a Ph.D. in engineering, statistics/mathematics, physics, neuroscience, or a related field. Strong analytical, quantitative and programming skills as well as proficiency in machine learning are essential. Prior experience with PET/MR image analysis is not required. The successful candidate will have joint appointments at MGH and HMS.

Environment:
The Department of Radiology offers extensive core research facilities, including a new digital time-of-flight PET/CT scanner, brain and whole body PET/MRI scanners, and small animal PET/SPECT/CT systems. Studies on these imaging systems are supported by the MGH Gordon PET Core’s fully equipped blood/radiometabolite processing laboratory, on-site cyclotron, dedicated research radiochemistry laboratories, and a world class GMP radiopharmacy. The Gordon Center maintains a large-scale computing facility for image analysis, network training, tomographic reconstruction, Monte Carlo simulation, and other computationally intensive research applications. The successful applicant can interact collaboratively with a large (140+), growing research group in diverse areas of imaging technology and applications.

The position is available as of February 2021 and the start date is flexible. If interested, please send your curriculum vitae, a cover letter describing your background and research interests, and contact information of three references to Dr. Kuang Gong.
MGH is an equal opportunity employer.