Quantification of image quality and partial volume effect along the axial field-of-view of uMI Panorama GS PET/CT system for multiple radionuclides [0.03%]
量化uMI全景GS PET/CT系统多种核素轴向视场中的图像质量和部分容积效应
Haiqiong Zhang,Guangjie Yang,Linfeng Li et al.
Haiqiong Zhang et al.
Purpose: The comprehensive knowledge of how the distinct physical decay characteristics of each radionuclide shape their image quality performance is essential for tailoring acquisition protocols and ensuring optimal clin...
Feasibility simulation study of positronium lifetime imaging with the Biograph Vision Quadra and J-PET tomographs [0.03%]
使用Biograph Vision Quadra和J-PET断层扫描仪进行正电子寿命成像的可行性模拟研究
Szymon Parzych,Szymon Niedźwiecki,Ermias Yitayew Beyene et al.
Szymon Parzych et al.
Background: After its first ex-vivo and in-vivo demonstration, Positronium Lifetime Imaging (PLI) has received considerable interest as a potential new diagnostic biomarker. High sensitivity Positron Emission Tomography (...
MLPET: a localized neural network approach for probabilistic post-reconstruction PET image analysis using informed priors [0.03%]
基于先验的局部神经网络在概率性正电子发射断层图像分析中的应用
Thomas Mejer Hansen,Nana Louise Christensen,Mikkel Holm Vendelbo
Thomas Mejer Hansen
Purpose: PET images often make small lesions difficult to identify because of noise and system blur. We address this by developing and evaluating MLPET , a fast localized machine-learning method that approximates a comput...
Image optimization for low-dose 18F-FDG breast PET/MRI using deep learning: a pilot study [0.03%]
基于深度学习的低剂量18F-FDG乳腺PET/MRI图像优化：一项初步研究
Quinton J Keigley,Leah C Henze Bancroft,Kelley Salem et al.
Quinton J Keigley et al.
Background: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvasive molecular characterization of breast cancer and has the potential to improve diagnostic accuracy, staging, treatment ...
Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR [0.03%]
基于深度学习的非TOF BGO PET/CT重建模型评价：采集时间及BSREM惩罚因子对病灶检出率和信噪比的影响
Anna Stenvall,David Minarik,Elin Trägårdh et al.
Anna Stenvall et al.
Background: New long field-of-view (FOV) PET scanners using bismuth germanate (BGO) detectors without time-of-flight (TOF) capability are now available. These systems incorporate deep learning-based TOF (DLb-TOF) models t...
Estimation of effective half-life and lesion-specific kinetics in I-131 therapy for differentiated thyroid cancer using dual-timepoint imaging [0.03%]
基于双时相显像的分化型甲状腺癌I-131治疗有效半衰期及病灶特异性动力学参数估计研究
Yusuke Iizuka,Ryota Nakashima,Rihito Aizawa et al.
Yusuke Iizuka et al.
Background: Accurate estimation of lesion-specific effective half-life (Teff) is essential for patient-specific dosimetry in radioiodine (I-131) therapy for differentiated thyroid cancer (DTC). Although conventional multi...
It's PET but not as we know it: radiation protection considerations when using a novel specimen PET-CT scanner during tumour resections for urology and head & neck patients [0.03%]
它与我们所熟悉的不一样：在使用一种新型标本PET-CT扫描仪为泌尿科和头颈部肿瘤切除患者进行放射防护时的考虑因素
L M Rowley,C Pickles,K Hodgson et al.
L M Rowley et al.
Purpose: To evaluate the radiation protection requirements for a UK first specimen PET-CT scanner, the AURA10 (Xeos, Ghent), as assessed through a clinical trial investigating its use for intra-operative surgical margin a...
Data-efficient unsupervised deep learning deformable SPECT/CT registration framework for voxel-level radionuclide therapy dosimetry: validation using clinical 131I DTC therapy data [0.03%]
一种基于临床131I DTC治疗数据验证的、高效无监督深度学习可变形SPECT/CT配准框架的亚毫米级核素治疗剂量学方法
Junyi Liu,Xuanhe Wang,Hui Zhang et al.
Junyi Liu et al.
Purpose: To develop a data-efficient, unsupervised deep learning framework for deformable SPECT/CT registration that supports voxel-based dosimetry in radionuclide therapy, particularly in clinical settings with limited i...
Impact of reduced 18F-MK6240 PET/MR acquisition duration on image quality and tau pathology assessment in patients with cognitive impairment [0.03%]
缩短18F-MK6240 PET/MR采集时间对认知障碍患者的图像质量和tau病理评估的影响
Kai Liao,Jia Li,Fangyang Jiao et al.
Kai Liao et al.
Background: ¹⁸F-MK6240 tau positron emission tomography (PET) is critical in Alzheimer's disease diagnosis and therapeutic monitoring. However, the standard 20-minute static acquisition poses challenges for cognitively ...
Optimising [Formula: see text] PET imaging for dosimetry in SIRT: insights from phantom and simulation studies on the Discovery MI scanner [0.03%]
基于MI扫描仪的 phantom 和仿真研究优化SIRT剂量学的[Formula: see text] PET 成像
Farzam Sayah,Benoît Presles,Hussein Harb et al.
Farzam Sayah et al.
Background: The aim of this study was to optimise the acquisition and reconstruction parameters for [Formula: see text] imaging on a digital PET scanner (Discovery MI 4-ring) under high (3 GBq), intermediate (1 GBq), and ...