Positron Emission Tomography
Positron Emission Tomography (PET) is a medical imaging technique used to visualize and quantify metabolic processes within the body, primarily for cancer diagnosis and treatment planning. Current research heavily focuses on improving image quality while minimizing radiation exposure, employing deep learning models like U-Nets, transformers, and diffusion models for tasks such as image reconstruction, lesion segmentation, and tracer conversion. These advancements aim to enhance diagnostic accuracy, streamline workflows, and ultimately improve patient care by providing more precise and efficient imaging data.
Papers
Calibration and evaluation of a motion measurement system for PET imaging studies
Junxiang Wang, Ti Wu, Iulian I. Iordachita, Peter Kazanzides
Evaluation of a motion measurement system for PET imaging studies
Junxiang Wang, Ti Wu, Iulian I. Iordachita, Peter Kazanzides
Method for robotic motion compensation during PET imaging of mobile subjects
Junxiang Wang, Iulian I. Iordachita, Peter Kazanzides
Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference
Xiaofeng Liu, Thibault Marin, Tiss Amal, Jonghye Woo, Georges El Fakhri, Jinsong Ouyang
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
Yuxin Xue, Lei Bi, Yige Peng, Michael Fulham, David Dagan Feng, Jinman Kim