中文
相关论文

相关论文: DUAL-GLOW: Conditional Flow-Based Generative Model…

200 篇论文

Positron Emission Tomography (PET) is an imaging technique which can be used to investigate chemical changes in human biological processes such as cancer development or neurochemical reactions. Most dynamic PET scans are currently analyzed…

应用统计 · 统计学 2014-11-11 Ci-Ren Jiang , John A D Aston , Jane-Ling Wang

In recent years, deep learning models have been applied to neuroimaging data for early diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and positron emission tomography (PET) images provide structural and…

图像与视频处理 · 电气工程与系统科学 2023-08-01 Yanteng Zhanga , Xiaohai He , Yi Hao Chan , Qizhi Teng , Jagath C. Rajapakse

Recent work has shown improved lesion detectability and flexibility to reconstruction hyperparameters (e.g. scanner geometry or dose level) when PET images are reconstructed by leveraging pre-trained diffusion models. Such methods train a…

医学物理 · 物理学 2025-08-28 George Webber , Alexander Hammers , Andrew P. King , Andrew J. Reader

Diffusion models have shown great promise in medical image denoising and reconstruction, but their application to Positron Emission Tomography (PET) imaging remains limited by tracer-specific contrast variability and high computational…

图像与视频处理 · 电气工程与系统科学 2026-02-03 Fumio Hashimoto , Kuang Gong

Positron Emission Tomography (PET) is a Nuclear Medicine technique that creates images that allow the study of metabolic activity and organ function using radiopharmaceuticals. Continuous improvement of scintillation detectors for radiation…

Face plays an important role in humans visual perception, and reconstructing perceived faces from brain activities is challenging because of its difficulty in extracting high-level features and maintaining consistency of multiple face…

计算机视觉与模式识别 · 计算机科学 2025-01-03 Zihao Wang , Jing Zhao , Xuetong Ding , Hui Zhang

We propose in this work a framework for synergistic positron emission tomography (PET)/computed tomography (CT) reconstruction using a joint generative model as a penalty. We use a synergistic penalty function that promotes PET/CT pairs…

The automatic early diagnosis of prodromal stages of Alzheimer's disease is of great relevance for patient treatment to improve quality of life. We address this problem as a multi-modal classification task. Multi-modal data provides richer…

Positron Emission Tomography (PET) is a crucial tool in medical imaging, particularly for diagnosing diseases like cancer and Alzheimer's. The advent of Positronium Lifetime Imaging (PLI) has opened new avenues for assessing the tissue…

医学物理 · 物理学 2024-03-25 Zhuo Chen , Chien-Min Kao , Hsin-Hsiung Huang , Lingling An

18F-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography (PET) imaging usually needs a full-dose radioactive tracer to obtain satisfactory diagnostic results, which raises concerns about the potential health risks of radiation…

图像与视频处理 · 电气工程与系统科学 2022-02-15 Yu Fu , Shunjie Dong , Yi Liao , Le Xue , Yuanfan Xu , Feng Li , Qianqian Yang , Tianbai Yu , Mei Tian , Cheng Zhuo

Purpose: Magnetic Resonance Imaging (MRI) enables non-invasive assessment of brain abnormalities during early life development. Permanent magnet scanners operating in the neonatal intensive care unit (NICU) facilitate MRI of sick infants,…

图像与视频处理 · 电气工程与系统科学 2025-05-23 Yamin Arefeen , Brett Levac , Bhairav Patel , Chang Ho , Jonathan I. Tamir

Sequential whole-body 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) scans are regarded as the imaging modality of choice for the assessment of treatment response in the lymphomas because they detect treatment response when…

图像与视频处理 · 电气工程与系统科学 2021-06-10 Kai-Chieh Liang , Lei Bi , Ashnil Kumar , Michael Fulham , Jinman Kim

Accurate attenuation and scatter corrections are crucial in positron emission tomography (PET) imaging for accurate visual interpretation and quantitative analysis. Traditional methods relying on computed tomography (CT) or magnetic…

医学物理 · 物理学 2025-11-14 Min Jeong Cho , Hyeong Seok Shim , Sungyu Kim , Jae Sung Lee

Tau positron emission tomography (tau-PET) is an important in vivo biomarker of Alzheimer's disease, but its cost, limited availability, and acquisition burden restrict broad clinical use. This work proposes an interpretable multimodal…

计算机视觉与模式识别 · 计算机科学 2026-04-10 Agamdeep S. Chopra , Caitlin Neher , Tianyi Ren , Juampablo E. Heras Rivera , Hesam Jahanian , Mehmet Kurt

The pedestrian trajectory prediction task is an essential component of intelligent systems. Its applications include but are not limited to autonomous driving, robot navigation, and anomaly detection of monitoring systems. Due to the…

计算机视觉与模式识别 · 计算机科学 2023-07-28 Rongqin Liang , Yuanman Li , Jiantao Zhou , Xia Li

In medical imaging, generative models are increasingly relied upon for two distinct but equally critical tasks: reconstruction, where the goal is to restore medical imaging (usually inverse problems like inpainting or superresolution), and…

图像与视频处理 · 电气工程与系统科学 2025-07-28 Niklas Bubeck , Yundi Zhang , Suprosanna Shit , Daniel Rueckert , Jiazhen Pan

Alzheimer's disease (AD) is a progressive neurodegenerative disorder leading to cognitive decline. [$^{18}$F]-Fluorodeoxyglucose positron emission tomography ([$^{18}$F]-FDG PET) is used to monitor brain metabolism, aiding in the diagnosis…

图像与视频处理 · 电气工程与系统科学 2024-05-01 Elena Doering , Merle C. Hönig , Tobias Deußer , Gerard N. Bischof , Thilo van Eimeren , Alexander Drzezga , Lotta M. Ellingsen

Positron emission tomography (PET) serves as an essential tool for diagnosis of encephalopathy and brain science research. However, it suffers from the limited choice of tracers. Nowadays, with the wide application of PET imaging in…

Objective: Positron Emission Tomography (PET) has been a commonly used imaging modality in broad clinical applications. One of the most important tradeoffs in PET imaging is between image quality and radiation dose: high image quality comes…

图像与视频处理 · 电气工程与系统科学 2024-04-18 Shaoyan Pan , Elham Abouei , Junbo Peng , Joshua Qian , Jacob F Wynne , Tonghe Wang , Chih-Wei Chang , Justin Roper , Jonathon A Nye , Hui Mao , Xiaofeng Yang

Sparse-view computed tomography (CT) is a practical solution to reduce radiation dose, but the resulting ill-posed inverse problem poses significant challenges for accurate image reconstruction. Although deep learning and diffusion-based…

图像与视频处理 · 电气工程与系统科学 2025-06-10 Changsheng Fang , Yongtong Liu , Bahareh Morovati , Shuo Han , Yu Shi , Li Zhou , Shuyi Fan , Hengyong Yu