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
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
Yitong Li, Morteza Ghahremani, Youssef Wally, Christian Wachinger
Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Jie Sun, Qian Xia, Chuanfu Sun, Yumei Chen, Huafeng Liu, Wentao Zhu, Qiegen Liu
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
Zdravko Marinov, Moon Kim, Jens Kleesiek, Rainer Stiefelhagen
Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness
Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen