Per-Lesion Assessment of Individual MRI Sequences and 68Ga-DOTATATE PET in Neuroendocrine Liver Metastases [0.03%]
神经内分泌肝转移中单个MRI序列和68Ga-DOTATATE PET的病灶个体化评估
Alexander Herold,Azadeh Hajati,Yihan Cao et al.
Alexander Herold et al.
Objectives: To explore magnetic resonance imaging (MRI) and gallium-68 (68Ga)-DOTATATE positron emission tomography (PET) performance in the assessment of neuroendocrine liver metastases (NELMs) on a per-lesion basis, wit...
Clinical Evaluation of A-LIKNet: Deep Learning-Accelerated Single-Breath-Hold CINE Magnetic Resonance Imaging for Cardiac Function Assessment [0.03%]
A-LIKNet临床评估：一种深度学习加速的单次屏气CINE磁共振心脏功能成像方法
Jens Kübler,Stanislau Chekan,Siying Xu et al.
Jens Kübler et al.
Objectives: To evaluate the diagnostic accuracy and quantitative agreement of A-LIKNet (attention-incorporated network for sharing low-rank, image, and k-space information) deep learning (DL)-accelerated 2D cardiac CINE M...
Reliability of Whole-Liver Liver-Fat-Quantification Between Deep Learning-Accelerated and Standard Volumetric Interpolated Breath-hold Examination Dixon Sequences in a Prospective Oncology Cohort [0.03%]
基于前瞻性肿瘤队列的深度学习加速和标准体积内插屏气Dixon序列在整个肝脏脂肪定量中的可靠性研究
Stephan Rau,Anna Fink,Ralph Strecker et al.
Stephan Rau et al.
Objective: To evaluate the impact of accelerated, deep learning-based reconstructed T1-weighted VIBE Dixon images on fat-signal fraction (FSF) quantification compared with standard protocols. ...
Improving Spatial Accuracy of MRI in the Presence of Metal-induced Geometric Distortions [0.03%]
改善金属引起的几何畸变条件下磁共振成像的空间准确性
Hao Li,Ali C Özen,Mathias Nittka et al.
Hao Li et al.
Objectives: To identify sequences and protocols for minimal metal-induced geometric distortion (MD) for improved spatial accuracy in MRI. Materials and me...
Multicontrast Multiphase Intestinal Imaging Using Photon-Counting CT: A Feasibility Study in Rats [0.03%]
基于光子计数CT的多对比剂多时相小肠影像学研究：实验可行性分析
Jonas Neumann,Gregor Jost,Ralf Gutjahr et al.
Jonas Neumann et al.
Objectives: The aim of this study is to validate a 3-material decomposition algorithm for distinguishing between 2 contrast media (CM) (iodine-based and tungsten-based) and water in vivo using a commercial photon-counting...
Optimizing MRI Protocols for Brain Radiosurgery: The Role of Sequence and Contrast Agent Timing [0.03%]
脑放射外科手术磁共振成像优化：序列和对比剂时机的作用
Julian Mangesius,Christian Kremser,Christoph Birkl et al.
Julian Mangesius et al.
Purpose: Accurate target volume delineation is critical for effective stereotactic radiotherapy (SRT) of brain metastases. This study systematically investigates how MRI sequence selection and the time elapsed after contr...
Risk of Acute Kidney Injury Following Gadolinium-based Contrast Agent-enhanced MRI: Propensity-matched 7-year Cohort Study [0.03%]
基于碘对比剂增强的MRI后急性肾损伤的风险：倾向匹配的7年队列研究
Min Woo Han,Pyeong Hwa Kim,Chong Hyun Suh et al.
Min Woo Han et al.
Objectives: The kidney plays a vital role in eliminating gadolinium-based contrast agents (GBCAs), and renal function may contribute to various GBCA-associated adverse drug reactions (ADRs), particularly acute kidney inju...
Applicability of Effective Atomic Number (Zeff) Image Analysis of Coronary Plaques Measured With Photon- Counting Computed Tomography [0.03%]
基于光子计数CT测量的冠脉斑块有效原子序数(Zeff)成像分析的适用性研究
Takashi Asahara,Mana Mitani,Natsumi Kimoto et al.
Takashi Asahara et al.
Objective: Coronary computed tomography (CT) allows the assessment of cardiovascular risk by imaging calcified plaques in coronary arteries. Because photon-counting CT (PC-CT) can analyze the effective atomic number (Zeff...
Spectral Computed Tomography for the Detection and Characterization of Communications Between the True and the False Lumen in Aortic Dissections [0.03%]
用于检测和表征主动脉夹层真腔和假腔之间交通的光谱CT扫描技术
Antoine Janin-Manificat,Monica Sigovan,Eduardo Davila et al.
Antoine Janin-Manificat et al.
Objectives: To compare the performance of conventional CT (conv-CT) and spectral CT (spectral-CT) for the detection and characterization of communications between the true (TL) and false lumen (FL) in aortic dissections, ...
Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations [0.03%]
基于深度学习的身体区域分割的全身磁共振成像视野自动化处方
Anton Sheahan Quinsten,Christian Bojahr,Kai Nassenstein et al.
Anton Sheahan Quinsten et al.
Objectives: Manual field-of-view (FoV) prescription in whole-body magnetic resonance imaging (WB-MRI) is vital for ensuring comprehensive anatomic coverage and minimising artifacts, thereby enhancing image quality. Howeve...