We propose to design, build, and evaluate the Scanner Approaching in Vivo Autoradiographic Neuro Tomography (SAVANT), a next generation PET scanner for ultra-high resolution imaging of the human brain using hardware advances developed by members of our collaborative team to achieve unprecedented spatial resolution and count rate capabilities. The system will have a volumetric resolution close to 1 mm3 (isotropic spatial resolution close to 1 mm), which is approximately 27 fold better than the best dedicated brain PET scanners and 125 fold better than general purpose PET scanners. Such an improvement will allow visualization and quantification of in vivo physiological events as never before possible, such as deposition of tau neurofibrillary tangles in the entorhinal cortex in the prodromal stages of Alzheimer's disease and dopamine transporter concentration in the substantia nigra and ventral tegmental area. This will allow the detection and quantitation of brain disease at a much earlier stage, decades before onset of clinical symptoms, and permit the study of key structures in neurotransmitter systems that currently cannot be imaged accurately with PET. The proposed high resolution PET scanner will be validated in phantom studies and performance evaluated in healthy volunteers.

Public Health Relevance

We propose to build and evaluate a next generation Human Brain Positron Emission Tomography (PET) scanner that will have a volumetric resolution close to 1 mm3, which is approximately 27 fold better than the best dedicated brain PET scanners and 125 fold better than general purpose PET scanners. Such an improvement will allow visualization and quantification of in vivo physiological events as never before possible, enabling detection of brain disease at a much earlier stage and permitting the study of small nuclei important to afferent pathways of catecholamine neurotransmitter systems.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01EB027003-01
Application #
9617578
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Wang, Shumin
Project Start
2018-09-30
Project End
2023-06-30
Budget Start
2018-09-30
Budget End
2019-06-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code