Subsecond total-body imaging using ultrasensitive positron emission tomography
A 194-cm-long total-body positron emission tomography/computed tomography (PET/CT)
scanner (uEXPLORER), has been constructed to offer a transformative platform for human …
scanner (uEXPLORER), has been constructed to offer a transformative platform for human …
Generative adversarial network based regularized image reconstruction for PET
Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise
due to limited number of detected events. Prior information can be used to improve the …
due to limited number of detected events. Prior information can be used to improve the …
Total-body dynamic reconstruction and parametric imaging on the uEXPLORER
The world’s first 194-cm-long total-body PET/CT scanner (uEXPLORER) has been built by
the EXPLORER Consortium to offer a transformative platform for human molecular imaging in …
the EXPLORER Consortium to offer a transformative platform for human molecular imaging in …
PCNet: Prior Category Network for CT Universal Segmentation Model
Accurate segmentation of anatomical structures in Computed Tomography (CT) images is
crucial for clinical diagnosis, treatment planning, and disease monitoring. The present deep …
crucial for clinical diagnosis, treatment planning, and disease monitoring. The present deep …
Anatomically aided PET image reconstruction using deep neural networks
Purpose The developments of PET/CT and PET/MR scanners provide opportunities for
improving PET image quality by using anatomical information. In this paper, we propose a novel …
improving PET image quality by using anatomical information. In this paper, we propose a novel …
H2RSPET: a 0.5 mm resolution high-sensitivity small-animal PET scanner, a simulation study
With the goal of developing a total-body small-animal PET system with a high spatial
resolution of∼ 0.5 mm and a high sensitivity> 10% for mouse/rat studies, we simulated four …
resolution of∼ 0.5 mm and a high sensitivity> 10% for mouse/rat studies, we simulated four …
A novel neuroprotective method against ischemic stroke by accelerating the drainage of brain interstitial fluid
…, F Cheng, J Yan, Y Fu, W Fu, Z Xie… - Science China Life …, 2024 - Springer
Ischemic stroke is a leading cause of death and disability worldwide. Inflammatory response
after stroke determines the outcome of ischemic injury. A recent study has reported an …
after stroke determines the outcome of ischemic injury. A recent study has reported an …
Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach
Y Zhang, N Jiang, Z Xie, J Cao, Y Teng - arXiv preprint arXiv:2307.04133, 2023 - arxiv.org
Accurately annotated ultrasonic images are vital components of a high-quality medical report.
Hospitals often have strict guidelines on the types of annotations that should appear on …
Hospitals often have strict guidelines on the types of annotations that should appear on …
Generative learning-based lightweight MRI brain tumor segmentation with missing modalities
Accurate segmentation of brain tumors across multiple MRI modalities is crucial for clinical
diagnosis and prognosis. However, encountering missing modalities due to practical factors …
diagnosis and prognosis. However, encountering missing modalities due to practical factors …
Unsupervised deep learning framework for data‐driven gating in positron emission tomography
Background Physiological motion, such as respiratory motion, has become a limiting factor
in the spatial resolution of positron emission tomography (PET) imaging as the resolution of …
in the spatial resolution of positron emission tomography (PET) imaging as the resolution of …