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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…

Image and Video Processing · Electrical Eng. & Systems 2026-02-03 Fumio Hashimoto , Kuang Gong

The Poisson Flow Consistency Model (PFCM) is a consistency-style model based on the robust Poisson Flow Generative Model++ (PFGM++) which has achieved success in unconditional image generation and CT image denoising. Yet the PFCM can only…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Anthony Zhang , Mahmut Gokmen , Dennis Hein , Rongjun Ge , Wenjun Xia , Ge Wang , Jin Chen

Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importance, the use of PET/CT systems is limited by the necessity for…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Dac Thai Nguyen , Trung Thanh Nguyen , Huu Tien Nguyen , Thanh Trung Nguyen , Huy Hieu Pham , Thanh Hung Nguyen , Thao Nguyen Truong , Phi Le Nguyen

Positron Emission Tomography (PET) imaging is a vital tool in medical diagnostics, offering detailed insights into molecular processes within the human body. However, PET images often suffer from complicated noise, which can obscure…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Xuehua Ye , Hongxu Yang , Adam J. Schwarz

Clinical SPECT-MPI images of 345 patients acquired from a dedicated cardiac SPECT in list-mode format were retrospectively employed to predict normal-dose images from low-dose data at the half, quarter, and one-eighth-dose levels. A…

Diffusion models (DMs) have recently been introduced as a regularizing prior for PET image reconstruction, integrating DMs trained on high-quality PET images with unsupervised schemes that condition on measured data. While these approaches…

Medical Physics · Physics 2026-03-18 George Webber , Alexander Hammers , Andrew P King , Andrew J Reader

Modern PET systems reach a spatial resolution of 3-10 mm. A disadvantage of this technique is the diffusion of the positron before its decay with a typical range of ca. 1 mm (depending on its energy). This motion and Compton scattering of…

Instrumentation and Detectors · Physics 2012-02-03 C. Lang , D. Habs , P. G. Thirolf , A. Zoglauer

Positron emission tomography (PET) offers powerful functional imaging but involves radiation exposure. Efforts to reduce this exposure by lowering the radiotracer dose or scan time can degrade image quality. While using magnetic resonance…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Yingkai Zhang , Shuang Chen , Ye Tian , Yunyi Gao , Jianyong Jiang , Ying Fu

To obtain high-quality positron emission tomography (PET) while minimizing radiation exposure, a range of methods have been designed to reconstruct standard-dose PET (SPET) from corresponding low-dose PET (LPET) images. However, most…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Yuchen Fei , Yanmei Luo , Yan Wang , Jiaqi Cui , Yuanyuan Xu , Jiliu Zhou , Dinggang Shen

Dynamic total body positron emission tomography (TB-PET) makes it feasible to measure the kinetics of all organs in the body simultaneously which may lead to important applications in multi-organ disease and systems physiology. Since…

Medical Physics · Physics 2026-01-14 Yun Zhao , Qinlin Gu , Georgios I. Angelis , Andrew J. Reader , Yanan Fan , Steven R. Meikle

Diffusion models have significant impact on wide range of generative tasks, especially on image inpainting and restoration. Although the improvements on aiming for decreasing number of function evaluations (NFE), the iterative results are…

Image and Video Processing · Electrical Eng. & Systems 2024-11-20 Mahmut S. Gokmen , Jie Zhang , Ge Wang , Jin Chen , Cody Bumgardner

Ultra-low-dose positron emission tomography (PET) reconstruction holds significant potential for reducing patient radiation exposure and shortening examination times. However, it may also lead to increased noise and reduced imaging detail,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Mengxiao Geng , Ran Hong , Bingxuan Li , Qiegen Liu

Low-dose computed tomography (LDCT) reduces patient radiation exposure but introduces substantial noise that degrades image quality and hinders diagnostic accuracy. Existing denoising approaches often require many diffusion steps, limiting…

Medical Physics · Physics 2025-10-29 Qiang Li , Mojtaba Safari , Shansong Wang , Huiqiao Xie , Jie Ding , Tonghe Wang , Xiaofeng Yang

Low-dose PET imaging is crucial for reducing patient radiation exposure but faces challenges like noise interference, reduced contrast, and difficulty in preserving physiological details. Existing methods often neglect both…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Mengxiao Geng , Ran Hong , Xiaoling Xu , Bingxuan Li , Qiegen Liu

Acquiring high-quality Positron Emission Tomography (PET) images requires administering high-dose radiotracers, which increases radiation exposure risks. Generating standard-dose PET (SPET) from low-dose PET (LPET) has become a potential…

Image and Video Processing · Electrical Eng. & Systems 2025-06-24 Xiaolong Niu , Zanting Ye , Xu Han , Yanchao Huang , Hao Sun , Hubing Wu , Lijun Lu

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…

Medical Physics · Physics 2025-11-14 Min Jeong Cho , Hyeong Seok Shim , Sungyu Kim , Jae Sung Lee

Deep learning-based reconstruction of positron emission tomography(PET) data has gained increasing attention in recent years. While these methods achieve fast reconstruction,concerns remain regarding quantitative accuracy and the presence…

Positron Emission Tomography (PET) is an important molecular imaging tool widely used in medicine. Traditional PET systems rely on complete detector rings for full angular coverage and reliable data collection. However, incomplete-ring PET…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Yeqi Fang , Rong Zhou

Positron emission tomography (PET) is a cornerstone of modern radiology. The ability to detect cancer and metastases in whole body scans fundamentally changed cancer diagnosis and treatment. One of the main bottlenecks in the clinical…

Computer Vision and Pattern Recognition · Computer Science 2022-04-28 Ida Häggström , C. Ross Schmidtlein , Gabriele Campanella , Thomas J. Fuchs

MRI and PET are crucial diagnostic tools for brain diseases, as they provide complementary information on brain structure and function. However, PET scanning is costly and involves radioactive exposure, resulting in a lack of PET. Moreover,…