Temperature-Controlled in-situ Tensile Tests of Polymer Tape with differently shaped Single Particles by Sarah Heupl, Julia Maurer, Johann Kastner

“…CT measurements were performed with the RX Solutions Easytom 160, achieving a voxel size of (3 μm)³. Particles of three different shapes were identified: type (I)-particles with high extension in the x-direction and low extension in the y- and z-directions; type (II)-particles Particles with high extension in the x- and z-directions and low extension in the y-direction; type (III)-particles with high extension in the z-direction and low extension in the x- and y-directions. …”
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Neural correlates of basketball proficiency: An MRI study across skill levels by Manqi Zhang, Wenbiao Zhang, Yujie Yao, Jiabao Lin, Lei Mo

“…Methods: Twenty advanced basketball athletes (AB), 20 intermediate basketball athletes (IB) and 20 age-matched non-athlete individuals without basketball experience (NI) participated in this study and underwent T1-weighted MRI and resting-state fMRI scanning. Voxel-mirrored homotopic connectivity (VMHC), amplitude of low frequency fluctuations (ALFF), and gray matter (GM) density were calculated and compared among the three groups. …”
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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction by Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang

“…Compared to other methods, the synthesized full-dose PET image generated by our method exhibits a more accurate voxel-wise metabolic intensity distribution, resulting in a clearer depiction of the epilepsy focus. …”
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Alterations of Interhemispheric Functional Connectivity and Degree Centrality in Cervical Dystonia: A Resting-State fMRI Study by Wenyan Jiang, Yiwu Lei, Jing Wei, Lu Yang, Shubao Wei, Qiong Yin, Shuguang Luo, Wenbin Guo

“…Methods. Using rs-fMRI data, voxel-mirrored homotopic connectivity (VMHC) and degree centrality were used to compare the alterations of the rs-functional connectivity (FC) between 19 patients with CD and 21 healthy controls. …”
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Advancements in Frank’s sign Identification using deep learning on 3D brain MRI by Sungman Jo, Jun Sung Kim, Min Jeong Kwon, Jieun Park, Jeong Lan Kim, Jin Hyeong Jhoo, Eosu Kim, Leonard Sunwoo, Jae Hyoung Kim, Ji Won Han, Ki Woong Kim

“…Additionally, the model identified optimal voxel thresholds for accurate FS classification, resulting in high sensitivity, specificity, and accuracy metrics. …”
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Association between carotid artery hemodynamics and neurovascular coupling in cerebral small vessel disease: an exploratory study by Peng Zeng, Bang Zeng, Xiaohua Wang, Feiyue Yin, Binglan Li, Lisha Nie, Lin Tian, Dan Luo, Yongmei Li

“…NVC was assessed through voxel-wise correlations between cerebral blood flow and the amplitude of low-frequency fluctuations. …”
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Analysis of Contact Position for Subthalamic Nucleus Deep Brain Stimulation-Induced Hyperhidrosis by Chunhui Yang, Yiqing Qiu, Xi Wu, Jiali Wang, Yina Wu, Xiaowu Hu

“…The straight-line distance between the center of the sweat contact and the nearest voxel of the red nucleus was closer than that of the control group (2.72 ± 0.65 mm VS 3.76 ± 0.85 mm, P=0.00012). …”
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HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint by Dilbag Singh, Ravinder R. Regatte, Marcelo V. W. Zibetti

“…To address these limitations of both approaches, we propose the HDNLS, a hybrid model for fast multi-component parameter mapping, particularly targeted for T1ρ mapping in the knee joint. HDNLS combines voxel-wise DL, trained with synthetic data, with a few iterations of NLS to accelerate the fitting process, thus eliminating the need for reference MRI data for training. …”
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Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar by Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN

“…This network overcomes the limitations of mainstream deep learning libraries that currently lack 4D convolution capabilities, which hinders the effective use of multiframe three-Dimensional (3D) voxel spatiotemporal domain information. By preserving 3D spatial information and using long-sequence temporal information, the proposed ST2W-AP network considerably enhances the pose estimation and behavior recognition performance. …”
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Changes in the Parietal Lobe Subregion Volume at Various Stages of Alzheimer’s Disease and the Role in Cognitively Normal and Mild Cognitive Impairment Conversion by Fang Lu, Qing Ma, Cailing Shi, Wenjun Yue

“…We measured the volume of the parietal subregion based on the Human Brainnetome Atlas (BNA-246) using voxel-based morphometry among individuals at various stages of AD and the progressive and stable individuals in CN and MCI. …”
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Nonfluent/Agrammatic PPA with In-Vivo Cortical Amyloidosis and Pick’s Disease Pathology by Francesca Caso, Benno Gesierich, Maya Henry, Manu Sidhu, Amanda LaMarre, Miranda Babiak, Bruce L. Miller, Gil D. Rabinovici, Eric J. Huang, Giuseppe Magnani, Massimo Filippi, Giancarlo Comi, William W. Seeley, Maria Luisa Gorno-Tempini

“…Neuropsychological and general motor functions remained relatively spared throughout the clinical course. Voxel-based morphometry (VBM) showed selective cortical atrophy of the left posterior inferior frontal gyrus (IFG) and underlying insula that worsened over time, extending along the left premotor strip. …”
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Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

“…Results: Compared with non-learning-based methods (Affine, Syn) and learning-based methods (Transmorph-tiny, Cyclemorph, VoxelMorph x2), our method improves the peak t-value of t-maps on DMN, VN, CEN, and SMN to 18.7, 16.5, 16.6, and 17.3 and the mean number of suprathreshold voxels (<i>p</i> < 0.05, t > 5.01) on the four networks to 2596.25, and there is an average improvement in peak t-value of 23.79%, 12.74%, 12.27%, 7.32%, and 5.43%. …”
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Altered resting-state cerebral blood flow and its relationship with molecular architecture in tremor dominant Parkinson’s disease by Shangpei Wang, Yajie Cai, Yibin Zhao, Yongqiang Yu, Xianwen Chen, Longsheng Wang

“…The altered CBF were derived by a voxel-wised two sample t-test compare and spatial correlated with serotonin, dopamine, γ-aminobutyric acid, opioid, noradrenaline, N-methyl-D-aspartic acid, acetylcholine and glutamate neurotransmitter density maps. …”
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Primary Cognitive Factors Impaired after Glioma Surgery and Associated Brain Regions by Chiharu Niki, Takatsune Kumada, Takashi Maruyama, Manabu Tamura, Takakazu Kawamata, Yoshihiro Muragaki

“…Next, lesion analyses were performed using voxel-based lesion-symptom mapping (VLSM) to identify critical brain regions related to impairments of the primary cognitive functions. …”
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Cerebral Reorganization in Subacute Stroke Survivors after Virtual Reality-Based Training: A Preliminary Study by Xiang Xiao, Qiang Lin, Wai-Leung Lo, Yu-Rong Mao, Xin-chong Shi, Ryan S. Cates, Shu-Feng Zhou, Dong-Feng Huang, Le Li

“…Statistically significant improvements were observed in gait velocity (p<0.05). The change in voxel counts in the primary sensorimotor cortex of the lesioned hemisphere is significantly correlated with improvement of 10 m walk time after VRET (r=−0.719). …”
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The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: ¹⁶⁶Ho Microspheres by Edoardo d’Andrea, Andrea Politano, Bartolomeo Cassano, Nico Lanconelli, Marta Cremonesi, Vincenzo Patera, Massimiliano Pacilio

“…This study compares dosimetric approaches for lung dosimetry in ¹⁶⁶ radioembolization (Ho-TARE) with direct Monte Carlo (MC) simulations on a voxelized anthropomorphic phantom derived from a real patient’s CT scan, preserving the patient’s lung density distribution. …”
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Anatomical Covariance Analysis: Detection of Disrupted Correlation Network Related to Clinical Trait Fatigue in Multiple Sclerosis: A Pilot Study by Rosalia Dacosta-Aguayo, Glenn Wylie, John DeLuca, Helen Genova

“…PwMS were stratified into nonclinical fatigue (nF-MS, FSS≤4.0) (n=10) and clinical fatigue (F-MS, FSS≥5.0) (n=10). Voxel-based morphometry analysis (VBM) for the whole sample (n=20) and for the two groups was performed. …”
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Cerebrospinal Fluid BACE1 Activity and Brain Amyloid Load in Alzheimer's Disease by Timo Grimmer, Panagiotis Alexopoulos, Amalia Tsolakidou, Liang-Hao Guo, Gjermund Henriksen, Behrooz H. Yousefi, Hans Förstl, Christian Sorg, Alexander Kurz, Alexander Drzezga, Robert Perneczky

“…We explored associations between CSF BACE1 activity and fibrillar amyloid pathology as measured by carbon-11-labelled Pittsburgh Compound B positron emission tomography ([11C]PIB PET). [11C]PIB and CSF studies were performed in 31 patients with AD. Voxel-based linear regression analysis revealed significant associations between CSF BACE1 activity and [11C]PIB tracer uptake in the bilateral parahippocampal region, the thalamus, and the pons. …”
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Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control by Danyan Chen, Jiaying Lu, Hucheng Zhou, Jiehui Jiang, Ping Wu, Qihao Guo, Jingjie Ge, Huiwei Zhang, Kuangyu Shi, Chuantao Zuo

“…Finally, IFGoperc.R was selected as a seed and a voxel-wise correlation analysis was performed. Compared to the HC group, the DLB group showed several regions of strengthened connection with IFGoperc.R; these regions were located in the prefrontal cortex and regions of weakened connection were located in the occipital cortex. …”
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Age of Insomnia Onset Correlates with a Reversal of Default Mode Network and Supplementary Motor Cortex Connectivity by Emiliano Santarnecchi, Chiara Del Bianco, Isabella Sicilia, Davide Momi, Giorgio Di Lorenzo, Salvatore Ferrone, Giulia Sprugnoli, Simone Rossi, Alessandro Rossi

“…We investigated changes of voxel-wise connectivity patterns in a sample of 17 drug-naïve PI patients and 17 age-gender matched healthy controls, as well as the relationship between brain connectivity and age of onset, illness duration, and severity. …”
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