Kuang Gong
University of Florida, FL·Biomedical Engineering
PET (positron emission tomography) scans make images by detecting radioactive tracers that collect in diseased tissue. Their usefulness depends on how sharp and accurate the images are.
- Fields
Biomedical Engineering
Computer Science
Medicine & Clinical Research
- Topics
positron emission tomography
deep learning
image reconstruction
- Grants
- 2 known grants, through Apr 2028
What they work on
- Develop a data-driven respiratory motion-correction framework with phase-matched attenuation correction to reduce breathing blur in Gallium-68 PET scans of tumors.
- Develop deep learning image reconstruction and kinetic-modeling methods to improve static and dynamic 68Ga-DOTATATE and 68Ga-PSMA-11 PET, and evaluate them clinically in neuroendocrine tumor and prostate cancer patients.
- Develop deep learning reconstruction for static and dynamic tau PET that improves resolution and signal-to-noise ratio, so faint early tau tangles in thin cortical regions can be resolved.
- Build frameworks that rapidly produce high-quality parametric images from simplified dynamic tau PET and apply them to 18F-MK-6240 datasets affected by meningeal off-target binding.
More about the research
When signals are weak or blurred, doctors can miss small tumors or early disease. The research uses deep learning, a form of artificial intelligence, to reconstruct clearer and more accurate PET images. It addresses two settings: cancer imaging with Gallium-68 tracers and brain imaging of tau protein in Alzheimer's disease.
Why it matters
Clearer Gallium-68 PET scans could help doctors find small or spreading neuroendocrine tumors and prostate cancers and choose treatments. Sharper tau PET could help detect Alzheimer's disease before symptoms, when therapies are expected to work best, and track whether treatments slow tau buildup. Patients with these cancers and people at risk for Alzheimer's could benefit from more reliable scans.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Spencer L. Bowen
University of Texas Southwestern Medical Center, TX·Biomedical Engineering
Build a device that rapidly and safely moves an external PET source into and out of a PET/MR scanner, so that signal attenuation can be measured directly during patient heart imaging.
Esther Blessing
New York University, NY·Neuroscience
Verify that lower waking body temperature, measured with an ingestible telemetric thermometer, predicts tau tangles on [18F]-MK-6240 PET in 100 older adults who are cognitively normal or have mild cognitive impairment.
Michael King
University of Massachusetts Chan Medical School, MA·Biomedical Engineering
Create Monte Carlo simulations of Ac-225 PSMA SPECT/CT imaging in targeted alpha therapy to jointly optimize collimator design and physics-based image reconstruction for tumor detection and quantification.
The school
University of Florida: 65 labs on PI Pages, $1.3B a year on research, 795 research doctorates a year.
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