A Novel Registration Framework for Aligning Longitudinal Infant Brain Tensor Images [0.03%]
一种纵向婴儿脑张量图配准的新框架
Kuaikuai Duan,Longchuan Li,Vince D Calhoun et al.
Kuaikuai Duan et al.
By registering images groupwise to reduce registration bias and capitalizing on the consistency of features in tensor maps across early infancy, our groupwise registration framework facilitates more accurate alignment of longitudinal infant brain images.
White matter microstructural alterations in patients with neuropathic pain after spinal cord injury: a diffusion tensor imaging study [0.03%]
脊髓损伤后神经病理性疼痛患者白质微结构异常的扩散张量成像研究
Dong Dong,Koichi Hosomi,Nobuhiko Mori et al.
Dong Dong et al.
We extracted diffusion tensor maps of fractional anisotropy (FA) and mean (MD), axial (AD), and radial (RD) diffusivity.
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats [0.03%]
元迁移学习驱动的张量射击检测器，用于隐蔽行李威胁的自主定位和识别
Taimur Hassan,Muhammad Shafay,Samet Akçay et al.
Taimur Hassan et al.
In addition, the proposed detection framework can be well-generalized to multiple scanner specifications due to its capacity to generate object proposals from the unified tensor maps rather than diversified raw scans.
Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP [0.03%]
利用多翻转角测量法校正发射不均匀性和非高斯扩散在DW-SSFP中的应用
Benjamin C Tendler,Sean Foxley,Moises Hernandez-Fernandez et al.
Benjamin C Tendler et al.
This allowed us to generate tensor maps at a single effective b-value yielding more consistent SNR across tissue, in addition to eliminating the B1 dependence on diffusion coefficients and orientation maps.
Qixing Huang,Zhenxiao Liang,Haoyun Wang et al.
Qixing Huang et al.
Establishing high-quality correspondence maps between geometric shapes has been shown to be the fundamental problem in managing geometric shape collections. Prior work has focused on computing efficient maps between pairs of shapes, and has...
Lagrangian carotid strain imaging indices normalized to blood pressure for vulnerable plaque [0.03%]
基于血压归一化的拉格朗日颈动脉应变成像参数评价易损斑块
Tomy Varghese,Nirvedh H Meshram,Carol C Mitchell et al.
Tomy Varghese et al.
Objective: Ultrasound Lagrangian carotid strain imaging (LCSI) utilizes physiological deformation caused by arterial pressure variations to generate strain tensor maps of the vessel walls and plaques.
Age related diffusion and tractography changes in typically developing pediatric cervical and thoracic spinal cord [0.03%]
正常发育的儿科颈椎和胸椎脊髓的年龄相关扩散和轨迹变化
Mahdi Alizadeh,Joshua Fisher,Sona Saksena et al.
Mahdi Alizadeh et al.
Diffusion tensor maps (FA and MD) and streamline deterministic tractography were then generated from the motion corrected DTI dataset.
Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease [0.03%]
阿尔茨海默病早期阶段危险因素探索的学科多孔弹性模型
Liwei Guo,John C Vardakis,Toni Lassila et al.
Liwei Guo et al.
An extended poroelastic model of perfused parenchymal tissue coupled with separate workflows concerning subject-specific meshes, permeability tensor maps and cerebral blood flow variability is used.
Incremental value of magnetic resonance neurography of Lumbosacral plexus over non-contributory lumbar spine magnetic resonance imaging in radiculopathy: A prospective study [0.03%]
腰椎磁共振神经成像未能诊断出病因的坐骨神经痛患者中，腰骶丛磁共振神经图的附加价值：一项前瞻性研究
Avneesh Chhabra,Sahar J Farahani,Gaurav K Thawait et al.
Avneesh Chhabra et al.
Lumbar spine MRI performed as part of the MRN LS protocol as well as bilateral L4-S1 nerves, sciatic, femoral and lateral femoral cutaneous nerves were evaluated in each subject for neuropathy findings on both anatomic (nerve signal, course and caliber alterations) and diffusion tensor imaging (DTI) tensor...maps (nerve signal and caliber alterations).
A high-resolution cardiovascular magnetic resonance diffusion tensor map from ex-vivo C57BL/6 murine hearts [0.03%]
取出的C57BL/6小鼠心脏的高分辨率心血管磁共振扩散张量图谱
Stelios Angeli,Nicholas Befera,Jean-Marc Peyrat et al.
Stelios Angeli et al.
Results: Results show that non-normalized cardiac tensor maps are associated with mean fractional anisotropy of 0.25 ± 0.07 and mean diffusivity of 8.9 ± 1.6 × 10⁻⁴mm²/s.
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