MRI phantom for tissue simulation with respect to diffusion coefficient and kurtosis - Validation with injection of liposomal theranostics [0.03%]
用于扩散系数和 Kurtosis 组织模拟的 MRI 仿体-使用脂质体内渗的验证疗法诊断学）
B Wereszczyńska,K Szcześniak
B Wereszczyńska
This study presents gelatine-based and agar-based phantoms with an addition of glycerol, safflower oil, silicone oil and cellulose microcrystalline with a potential to cover the entire range of tissue diffusion coefficients and kurtosis val...
Minimisation of slab-selective radiofrequency excitation pulse durations constrained by an acceptable aliasing coefficient [0.03%]
受容许 aliases 系数约束的最小化板选择性射频激发脉冲持续时间
Merlin J Fair,Peter D Gatehouse,David N Firmin
Merlin J Fair
A technical note is presented on the slab-direction aliasing of 3D imaging, introducing a simple methodology for determining the minimised duration of low flip-angle sinc radiofrequency (RF) excitation pulses, with respect to a required sla...
Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images [0.03%]
基于动态对比增强MR图像的nnU-Net乳腺及腺体组织分割
Lu Huo,Xiaoxin Hu,Qin Xiao et al.
Lu Huo et al.
Purpose: Segmentation of the whole breast and fibroglandular tissue (FGT) is important for quantitatively analyzing the breast cancer risk in the dynamic contrast-enhanced magnetic resonance (DCE-MR) images. The purpose o...
Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC [0.03%]
基于影像组学或平均ADC值的定量图像分析可改善PI-RADS依赖的前列腺癌分类
Kevin Sun Zhang,Patrick Schelb,Simon Kohl et al.
Kevin Sun Zhang et al.
Background Currently, interpretation of prostate MRI is performed qualitatively. Quantitative assessment of the mean apparent diffusion coefficient (mADC) is promising to improve diagnostic accuracy while radiomic machine learning (RML) all...
Optimized gradient spoiling of UTE VFA-AFI sequences for robust T1 estimation with B1-field correction [0.03%]
优化UTE VFA-AFI序列的梯度扰动以进行具有B1场校正的强大T1估计
Marta B Maggioni,Martin Krämer,Jürgen R Reichenbach
Marta B Maggioni
Quantifying T1 relaxation times is a challenge because inhomogeneities of the B1 field have to be corrected to obtain proper values. It is a particular challenge in tissues with short T2⁎ values, for which conventional MRI techniques do no...
Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations [0.03%]
一种对3T磁共振髋关节软骨T2和T2*弛豫时间进行自动即时可靠度分析的方法
Jessica M Bugeja,Shekhar S Chandra,Aleš Neubert et al.
Jessica M Bugeja et al.
Background: Magnetic resonance (MR) T2 and T2* mapping sequences allow in vivo quantification of biochemical characteristics within joint cartilage of relevance to clinical assessment of conditions such as hip osteoarthri...
Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI [0.03%]
基于深度学习重建的单次屏气T2WI肝MRI临床可行性研究与传统多次屏气T2WI肝MRI对比
Ruo-Fan Sheng,Li-Yun Zheng,Kai-Pu Jin et al.
Ruo-Fan Sheng et al.
Objective: To investigate the clinical feasibility of single-breath-hold (SBH) T2-weighted (T2WI) liver MRI with deep learning-based reconstruction in the evaluation of image quality and lesion delineation, compared with ...
Hybrid network with difference degree and attention mechanism combined with radiomics (H-DARnet) for MVI prediction in HCC [0.03%]
结合影像组学的混合网络与差分度和注意力机制联合模型预测肝癌微血管侵犯（H-DARnet）
Fei Gao,Kai Qiao,Bin Yan et al.
Fei Gao et al.
MVI is a risk assessment factor related to hepatocellular carcinoma (HCC) recurrence after hepatectomy or liver transplantation. The goal of this paper is to study the preoperative diagnosis of microvascular invasion (MVI) by using a deep l...
Accelerated free-breathing 3D whole-heart magnetic resonance angiography with a radial phyllotaxis trajectory, compressed sensing, and curvelet transform [0.03%]
基于向日葵轨迹、压缩感知和曲线变换的自由呼吸心脏磁共振血管成像
Wai Yan Ryana Fok,Yan Chi Ivy Chan,Jennifer Romanowicz et al.
Wai Yan Ryana Fok et al.
Purpose: To develop and validate an accelerated free-breathing 3D whole-heart magnetic resonance angiography (MRA) technique using a radial k-space trajectory with compressed sensing and curvelet transform. ...
Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video [0.03%]
基于眼动追踪视频训练的卷积神经网络估计结构MRI期间头部姿态变化
Heath R Pardoe,Samantha P Martin,Yijun Zhao et al.
Heath R Pardoe et al.
Introduction: In-scanner head motion is a common cause of reduced image quality in neuroimaging, and causes systematic brain-wide changes in cortical thickness and volumetric estimates derived from structural MRI scans. T...