Moorthy Ganeshkumar,Devasenathipathy Kandasamy,Raju Sharma et al.
Moorthy Ganeshkumar et al.
Objective: Deep complex convolutional networks (DCCNs) utilize complex-valued convolutions and can process complex-valued MRI signals directly without splitting them into two real-valued magnitude and phase components. Th...
Self-supervised learning for MRI reconstruction: a review and new perspective [0.03%]
自监督学习磁共振成像重建：综述与新观点
Xinzhen Li,Jinhong Huang,Guanglong Sun et al.
Xinzhen Li et al.
Objective: To review the latest developments in self-supervised deep learning (DL) techniques for magnetic resonance imaging (MRI) reconstruction, emphasizing their potential to overcome the limitations of supervised meth...
Open-source, customizable phantom for low-field magnetic resonance imaging [0.03%]
开放式、可定制的低场磁共振成像模型
Kalina V Jordanova,Stephen E Russek,Kathryn E Keenan
Kalina V Jordanova
Objective: This study aimed to describe important criteria for phantom design, while designing an open-source phantom that uses accessible materials and fabrication processes, and that can be easily reproduced and modifie...
Comparison between fast-interrupted steady-state (FISS) and rapid water-excitation pulses for fat signal suppression in free-running whole-heart MRI at 1.5 T [0.03%]
自由心电门控全心脏MRI时比较快速断续稳态(FISS)和快速进水激励脉冲的脂肪信号抑制效果(3.5T)
Yasaman Safarkhanlo,Jérôme Yerly,Mariana B L Falcão et al.
Yasaman Safarkhanlo et al.
Background: Free-running whole-heart MRI using balanced steady-state free precession (bSSFP) sequences offer high SNR and myocardial tissue contrast. However, an inadequate fat signal suppression may introduce artifacts a...
Patrick Schuenke,Catarina Redshaw Kranich,Max Lutz et al.
Patrick Schuenke et al.
Purpose: Cardiac magnetic resonance fingerprinting (cMRF) is a powerful quantitative imaging technique that provides multi-parametric diagnostic information. Here, we introduce an open-source framework for cardiac MRF inc...
Tony Stöcker,Kathryn E Keenan,Florian Knoll et al.
Tony Stöcker et al.
Utility of multiparametric MRI including T1/T2 mapping and IVIM/diffusion imaging for the evaluation of non-obstructive azoospermia [0.03%]
多参数MRI（包括T1/T2图和IVIM/扩散成像）评估非梗阻性无精子症的价值
Hiram Shaish,Sachin Jambawalikar,Firas Ahmed et al.
Hiram Shaish et al.
Introduction and objectives: The management of non-obstructive azoospermia (NOA) remains challenging because no predictive test for the presence of localized spermatogenesis exists. Previous work considered MRI techniques...
ESMRMB 2025 focus topic: cycle of quality-from concept to clinical and scientific impact [0.03%]
EMSRMB 2025主题焦点：质量的循环——从概念到临床和科学影响
Thomas Küstner,Roy Haast,Nikos Priovoulos et al.
Thomas Küstner et al.
Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts [0.03%]
运动伪影下影像质量评价指标与放射学评价的一致性研究
Elisa Marchetto,Hannah Eichhorn,Daniel Gallichan et al.
Elisa Marchetto et al.
Objective: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. We compare the performance of common reference-based and reference-free image quality me...
A dedicated phantom for exploring the interplay of fat and paramagnetic substances in quantitative susceptibility mapping [0.03%]
一种用于探索定量磁化率映射中脂肪和顺磁性物质相互作用的专用体素模型
Simon Graf,Josefine Trapp,Maik Rothe et al.
Simon Graf et al.
Objective: Accurate quantitative tissue characterization in organs with considerable fat content, like the liver, requires thorough understanding of fat's influence on the MR signal. To continue the investigations into th...