Article
Engineering, Biomedical
Edwin K. Leung, Eric Berg, Negar Omidvari, Benjamin A. Spencer, Elizabeth Li, Yasser G. Abdelhafez, Jeffrey P. Schmall, Weiping Liu, Liuchun He, Songsong Tang, Yilin Liu, Yun Dong, Terry Jones, Simon R. Cherry, Ramsey D. Badawi
Summary: The emergence of long axial field-of-view PET systems provides new opportunities for PET imaging, but also presents challenges for accurate quantification, particularly in cases with constraints from image reconstruction, low count conditions, and large and rapidly changing radioactivity distribution.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haojun Yu, Yushen Gu, Wei Fan, Yongju Gao, Meiyun Wang, Xiaohua Zhu, Zhifang Wu, Jianjun Liu, Biao Li, Hubing Wu, Zhaoping Cheng, Shuxia Wang, Yiqiu Zhang, Baixuan Xu, Sijin Li, Hongcheng Shi
Summary: This consensus provides protocols for using FDG imaging on total-body PET/CT scanners for cancer diagnosis and treatment planning. The consensus emphasizes reducing imaging time and injected FDG activity to improve clinical imaging outcomes.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Abass Alavi, Babak Saboury, Lorenzo Nardo, Vincent Zhang, Meiyun Wang, Hongdi Li, William Y. Raynor, Thomas J. Werner, Poul F. Hoilund-Carlsen, Mona-Elisabeth Revheim
Summary: The introduction of total body PET/CT instruments has brought about a new era in medical imaging. These instruments with higher sensitivity allow for whole-body imaging, accurate assessment of disease extent, improved detection of cancer and chemotherapy complications, and evaluation of systemic diseases and musculoskeletal disorders.
CLINICAL NUCLEAR MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lalith Kumar Shiyam Sundar, Martin Lyngby Lassen, Sebastian Gutschmayer, Daria Ferrara, Anna Calabro, Josef Yu, Kilian Kluge, Yiran Wang, Lorenzo Nardo, Philip Hasbak, Andreas Kjaer, Yasser G. Abdelhafez, Guobao Wang, Simon R. Cherry, Benjamin A. Spencer, Ramsey D. Badawi, Thomas Beyer, Otto Muzik
Summary: We introduce the Fast Algorithm for Motion Correction (FALCON) software, which corrects motion artifacts in dynamic whole-body PET/CT images. Motion is corrected using affine alignment followed by a diffeomorphic approach. Evaluation of motion correction performance on different systems and tracers shows significant improvements in reducing motion artifacts. FALCON allows fast and accurate correction of both rigid and nonrigid motion artifacts in PET imaging.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Neurosciences
Takuya Toyonaga, Arman Fesharaki-Zadeh, Stephen M. Strittmatter, Richard E. Carson, Zhengxin Cai
Summary: The development of novel PET imaging agents for SV2A allowed for the in vivo detection of synaptic density changes, and preclinical SV2A PET imaging in animal models provides supporting information. This article discusses key considerations when designing preclinical SV2A PET imaging studies and strategies for data analysis, as well as the challenges and opportunities in small animal SV2A PET imaging.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Aaron R. Selfridge, Benjamin A. Spencer, Yasser G. Abdelhafez, Keisuke Nakagawa, John D. Tupin, Ramsey D. Badawi
Summary: This study developed a method to obscure a subject's face in 3D volumetric data, addressing privacy concerns. The method effectively reduced facial identifiability and can be used for attenuation correction in PET reconstruction.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ruohua Chen, Yee Ling Ng, Xinlan Yang, Yinjie Zhu, Lianghua Li, Haitao Zhao, Yun Zhou, Gang Huang, Jianjun Liu
Summary: Total-body parametric imaging of [(68) Ga]Ga-PSMA-11 improved lesion contrast and detectability compared to SUV images, which may serve as an imaging biomarker and theranostic tool for precise diagnosis and treatment evaluation in prostate cancer patients.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Charlotte L. C. Smith, Gerben J. C. Zwezerijnen, Marijke E. den Hollander, Jolijn Weijland, Maqsood Yaqub, Ronald Boellaard
Summary: This study aimed to reduce errors and uncertainties in quantifying F-18-FDG lesion uptake by using image-derived quality control. The results showed that F-18-FDG activity and weight can be accurately derived from total body and half-body scans, and image-derived values improved SUV precision and corrected lesion SUV errors.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yiqiu Zhang, Pengcheng Hu, Yibo He, Haojun Yu, Hui Tan, Guobing Liu, Jianying Gu, Hongcheng Shi
Summary: The aim of this study was to evaluate the diagnostic value of ultrafast 30-second total-body PET/CT scans and explore whether they meet the requirements of clinical diagnosis. The results showed that the 30-second total-body PET/CT scans could meet the clinical diagnostic requirements for malignant tumors, especially in patients intolerant to prolonged horizontal positioning.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jun Wen, Yinjie Zhu, Lianghua Li, Jianjun Liu, Yumei Chen, Ruohua Chen
Summary: Dynamic total-body PET imaging in patients with prostate cancer showed that 6 minutes post-injection was the optimal time for imaging, avoiding interference from bladder activity and detecting lesions with relatively low PSMA uptake. Additionally, imaging at 35-59 minutes post-injection could also yield similar results to imaging at 60 minutes post-injection.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hui Tan, Xiuli Sui, Hongyan Yin, Haojun Yu, Yusen Gu, Shuguang Chen, Pengcheng Hu, Wujian Mao, Hongcheng Shi
Summary: The study aimed to explore the effects of total-body PET/CT with half-dose F-18-FDG activity on image quality, and found that the image quality in the half-dose group was better than in the full-dose group. Through subjective and objective analyses, it was discovered that the image quality scores were higher in the half-dose group, and the liver signal-to-noise ratio was significantly higher as well.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yan Hu, Guobing Liu, Haojun Yu, Jianying Gu, Hongcheng Shi
Summary: The diagnostic performance of total-body F-18-FDG PET/CT with 2-minute acquisition was comparable to that with 15-minute acquisition in liver cancer patients. Additionally, the diagnostic efficiency of total-body PET/CT imaging with fast 2-minute acquisition was similar to conventional PET/CT.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Clinical Neurology
Mei Xin, Lianghua Li, Cheng Wang, Hongda Shao, Jianjun Liu, Chenpeng Zhang
Summary: This study utilized total-body PET/CT dynamic imaging to evaluate C-11-CFT and found that it has favorable biodistribution, extremely low radiation dose, and high imaging quality, making it suitable for reasonable diagnosis of Parkinson's disease patients.
FRONTIERS IN NEUROLOGY
(2023)
Review
Health Care Sciences & Services
Jordy P. Pijl, Thomas C. Kwee, Riemer H. J. A. Slart, Andor W. J. M. Glaudemans
Summary: PET/CT is increasingly used in infectious diseases for its ability to diagnose infections based on glucose consumption. Advances in PET/CT technology, such as total body scanning and new radiotracers, are expected to enhance personalized treatment capabilities for infectious diseases in the future.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhenxing Huang, Yaping Wu, Fangfang Fu, Nan Meng, Fengyun Gu, Qi Wu, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
Summary: This study used a deep learning model to directly generate full-body parametric K-i images from static PET images in order to reduce dynamic scanning time and improve patient comfort. The results showed that the synthetic PET images were qualitatively and quantitatively consistent with reference images, and had high image quality.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Benjamin A. Spencer, Eric Berg, Jeffrey P. Schmall, Negar Omidvari, Edwin K. Leung, Yasser G. Abdelhafez, Songsong Tang, Zilin Deng, Yun Dong, Yang Lv, Jun Bao, Weiping Liu, Hongdi Li, Terry Jones, Ramsey D. Badawi, Simon R. Cherry
Summary: This study presents a detailed physical characterization and performance evaluation of the world's first total-body PET scanner with a 194 cm AFOV. Results demonstrate high sensitivity, good spatial resolution, excellent image quality, and contrast recovery across the entire field of view, supporting the system's ultra-high performance in both phantom and human imaging.
JOURNAL OF NUCLEAR MEDICINE
(2021)
Article
Veterinary Sciences
Jennifer L. Willcox, Mathieu Spriet, Allison L. Zwingenberger, Kathryn L. Phillips, Jenna H. Burton, Katherine A. Skorupski, Katherine S. Hansen, Verena K. Affolter, Kevin D. Woolard, David Beylin, Michelle A. Giuffrida
Summary: In this study, PET/CT imaging was used for dogs with oral malignant melanoma, showing high sensitivity but caution needed for specificity improvement. PET techniques demonstrated 100% sensitivity, with SUV evaluation increasing specificity. Careful parameter and threshold selection is critical to ensure PET specificity in diagnosing canine OMM.
VETERINARY AND COMPARATIVE ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Feng-Jiao Yang, Shu-Yue Ai, Runze Wu, Yang Lv, Hui-Fang Xie, Yun Dong, Qing-Le Meng, Feng Wang
Summary: The study found that total variation regularized expectation maximization (TVREM) reconstruction has a significant impact on the image quality of PSMA PET/CT, improving lesion contrast and reducing image noise while allowing for shorter acquisition times. Using optimized penalization factors for TVREM reconstruction can generate higher quality images for prostate cancer diagnosis.
BRITISH JOURNAL OF RADIOLOGY
(2021)
Article
Veterinary Sciences
Sabrina Wilson, William T. N. Culp, Erik R. Wisner, Derek D. Cissell, J. Paul Finn, Allison L. Zwingenberger
Summary: Computed tomography angiography (CTA) is currently the gold standard for anatomically characterizing canine hepatic vascular anomalies, but the study found that ferumoxytol-enhanced MRA (CE-MRA) with a dose of 4 mg/kg provided similar visibility of normal and abnormal vasculature in dogs with portosystemic shunts, indicating its potential for comprehensive imaging. The study also suggests that ferumoxytol could be used in future applications such as intracranial and cardiac MRA, real-time imaging, flow quantification, and sedated MRI imaging.
VETERINARY RADIOLOGY & ULTRASOUND
(2021)
Article
Veterinary Sciences
Mason W. Wanamaker, Karen M. Vernau, Sandra L. Taylor, Derek D. Cissell, Yasser G. Abdelhafez, Allison L. Zwingenberger
Summary: This study utilized texture analysis (TA) to quantitatively differentiate between canine glial cell neoplasia and noninfectious inflammatory meningoencephalitis, achieving a classification accuracy of 85% for the test set. However, TA was only partially able to differentiate between inflammatory subtypes and was unable to accurately classify glioma grade or cell type. Demographic differences were also identified between disease cohorts, which could help in prioritizing differential diagnoses.
VETERINARY RADIOLOGY & ULTRASOUND
(2021)
Article
Engineering, Biomedical
Yang Lv, Chen Xi
Summary: In this study, a deep progressive learning (DPL) method is proposed for PET image reconstruction to bridge the gap between low quality and high quality images through two learning steps. The experimental results show promising outcomes in reducing noise and improving contrast of PET images, with potential versatility for various imaging and image processing problems.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sarah E. McKenney, John M. S. Wait, Virgil N. Cooper, Amirh M. Johnson, Jia Wang, Ann N. Leung, Jessica Clements
Summary: Using glass barriers for portable chest radiographs can reduce PPE usage and exposure to potential infections. The method effectively filters low energy X-rays and allows for adjustment of radiation doses without significant impact on image quality. Further refinements are needed to optimize beam intensity and quality for better outcomes.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yan Xing, Wenli Qiao, Taisong Wang, Ying Wang, Chenwei Li, Yang Lv, Chen Xi, Shu Liao, Zheng Qian, Jinhua Zhao
Summary: This study investigated the impact of a deep learning-based denoising method on the image quality and lesion detectability of F-18-FDG PET images. The results showed that the deep learning method performed better in terms of image noise but worse in terms of lesion contrast compared to the Gaussian filter method. However, the deep learning method showed good results in lesion detectability.
Article
Veterinary Sciences
Sangkyung Choen, Ehren M. McLarty, Peter Pascoe, Allison L. Zwingenberger
Summary: PET/CT images were qualitatively and quantitatively analyzed using spontaneous ventilation (SV) and positive-pressure breath-hold (PPBH) techniques. The results demonstrated that PPBH PET/CT decreased respiration-induced artifacts and improved image quality.
AMERICAN JOURNAL OF VETERINARY RESEARCH
(2022)
Article
Veterinary Sciences
Pascaline Pey, Swan Specchi, Federica Rossi, Alessia Diana, Ignazio Drudi, Allison L. Zwingenberger, Philipp D. Mayhew, Luciano Pisoni, Daniele Mari, Federico Massari, Boris Dalpozzo, Federico Fracassi, Stefano Nicoli
Summary: The study tested the feasibility of a 7-point scale CT grading system in predicting vascular invasion accuracy and built a decision tree based on CT criteria to predict tumor type. Results showed significant differences in CT features between tumor prognosis and pheochromocytoma, as well as contour irregularity between adenoma and malignant tumors.
JOURNAL OF VETERINARY INTERNAL MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lei Xu, Ru-Shuai Li, Run-Ze Wu, Rui Yang, Qin-Qin You, Xiao-Chen Yao, Hui-Fang Xie, Yang Lv, Yun Dong, Feng Wang, Qing-Le Meng
Summary: The study found that small voxel Bayesian penalized likelihood (SVB) reconstruction improves small lesion detection and image quality compared to ordered subset expectation maximization (OSEM) reconstruction. Using a penalty factor of 0.8-0.9 for SVB reconstruction in F-18-FDG PET/CT images can lead to more accurate lesion volume and quantification.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sangkyung Choen, Michael S. Kent, Abhijit J. Chaudhari, Simon R. Cherry, Ana Krtolica, Allison L. Zwingenberger
Summary: This study evaluated the kinetics of hypoxia PET radiotracers and found that [18F]fluoroazomycin-arabinoside showed better kinetics for detecting tumor hypoxia compared to [18F]fluoromisonidazole. The results also suggested that static scan measurement is a good alternative for quantifying tumor hypoxia.
NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Taisong Wang, Wenli Qiao, Ying Wang, Jingyi Wang, Yang Lv, Yun Dong, Zheng Qian, Yan Xing, Jinhua Zhao
Summary: In this study, a total-body PET-guided deep progressive learning reconstruction method (DPR) for low-dose FDG PET imaging was validated. The results showed that the DPR method can reduce the administered activity of FDG while maintaining image quality.
Article
Engineering, Biomedical
Jinming Li, Chen Xi, Houjiao Dai, Jing Wang, Yang Lv, Puming Zhang, Jun Zhao
Summary: In this study, a new unsupervised learning method was developed to improve lesion detectability in patient studies. The deep progressive learning strategy was applied to bridge the gap between the input image and the target image. The results showed significant improvements in image noise performance and lesion detectability.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
Feng Wang, Shuyue Ai, Fengjiao Yang, Runze Wu, Huifang Xie, Yang Lv, Chenwei Li, Yun Dong
JOURNAL OF NUCLEAR MEDICINE
(2020)