High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid by J. Cabello, J. E. Gillam, M. Rafecas

“…Traditionally, the image space is modelled as a combination of cubic voxels as a matter of simplicity. After reconstruction, images are routinely filtered to reduce statistical noise at the cost of spatial resolution degradation. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…It utilizes a cross self-attention mechanism to adapt to the unique propagation features of point features and voxels, enhancing feature fusion performance. Experimental comparisons and ablation studies conducted on the SemanticKITTI and nuScenes datasets validate the generality and effectiveness of the proposed approach. …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…Conventional structures (e.g., voxels, octrees) struggle with long strip-like uneven spatial distribution, resulting in imbalanced trees with numerous empty nodes, which are incompatible with axis-aligned operations. …”
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An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction by Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman

“…The first stage uses a low-resolution version of the voxelized CAD model to obtain edge information and combines it with view diversity information for the optimization in the initial iterations, while the second stage relies on a single low-resolution reconstruction based on measurements from the first stage to gather edge and view diversity information during the later iterations. …”
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Coregistration of Ultrasonography and Magnetic Resonance Imaging with a Preliminary Investigation of the Spatial Colocalization of Vascular Endothelial Growth Factor Receptor 2 Exp... by Mary E. Loveless, Jennifer G. Whisenant, Kevin Wilson, Andrej Lyshchik, Tuhin K. Sinha, John C. Gore, Thomas E. Yankeelov

“…Average registration root mean square (RMS) error was 0.36 ± 0.11 mm, less than approximately two voxels. Segmented volumes were compared between investigators to minimize interobserver variability; the average RMS error was 0.23 ± 0.09 mm. …”
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A Perfusion MRI Study of Emotional Valence and Arousal in Parkinson’s Disease by Sunsern Limsoontarakul, Meghan C. Campbell, Kevin J. Black

“…A random-effects SPM analysis, corrected for multiple comparisons, identified significant clusters of contiguous voxels in which rCBF varied with valence or arousal. …”
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Gulliver – A new kind of industrial CT by Michael Salamon, Nils Reims, Dimitri Prjamkov, Michael Schmitt, Jurij Makarov, Dennis Ak, Markus Kronenberger, Katja Schladitz, Claudia Redenbach, Szymon Grzesiak, Christoph de Sousa, Catherina Thiele, Matthias Pahn

“…But also, the processing of the resulting huge data of approx. 10,000 × 10,000 × 2,000 voxels generated in the system represents a particular challenge for the image processing and evaluation to be carried out following the measurement. …”
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A Preliminary Investigation into the Neural Correlates of Knee Loading during a Change of Direction Task in Individuals after Anterior Cruciate Ligament Reconstruction by Adam Culiver, Dustin Grooms, Nathan Edwards, Laura Schmitt, James Oñate

“…Involved limb pKEM during the SV condition was positively correlated with BOLD signal in the contralateral precuneus and superior parietal lobe (Voxels: 53; p = .017; z-stat max: 6.47; MNI peak: 6, -50, 66)…”
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Fluorescence molecular imaging-guided photodynamic therapy for early breast cancer in the prone position: Feasibility evaluation with Monte Carlo simulations by Yugo Minegishi, Yasutomo Nomura

“…Monte Carlo modeling in voxelized media was performed. Fluorescence propagation from the tumor and the amount of singlet oxygen produced within the tumor were estimated from the calculated fluence. …”
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Association Between Lung Parenchymal Attenuation in Computed Tomography and Airflow Limitation in Adults with Cystic Fibrosis by Lucía Esteban Baloira, Ester Zamarrón de Lucas, Carlos Carpio Segura, Macarena Lerín Baratas, María Fernández Velilla, María Isabel Torres Sánchez, Inmaculada Pinilla Fernández, Pablo Mariscal Aguilar, Rodolfo Álvarez-Sala Walther, Concepción Prados Sánchez

“…The patients with airflow limitations showed a higher bulla index and a percentage of lung voxels in the range of emphysema. The FEV1 and the FEV1/FVC correlated with the percentage of the lungs at a high attenuation value (HAV), the range of emphysema, and the bulla index at inspiration, as well as the mean lung density at expiration and the inspiratory–expiratory variation of the mean lung density (MLDi-e). …”
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Global Three‐Dimensional Ionospheric Tomography by Combination of Ground‐Based and Space‐Borne GNSS Data by Dengkui Mei, Xiaodong Ren, Hang Liu, Xuan Le, Si Xiong, Xiaohong Zhang

“…In comparison with GNSS + LEO (EMART_GL) solutions, the proportion of crossed voxels for GNSS‐only (EMART_G) solutions can rise by up to 12.54%, from 56.83% to 69.37%. …”
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Cerebellar-cerebral circuits functional connectivity in patients with cognitive impairment after basal ganglia stroke: a pilot study by Lijun Zuo, Xinlong Lan, Yijun Zhou, Hao Liu, Yang Hu, Yongjun Wang, Yongjun Wang, Tao Liu, Zixiao Li, Zixiao Li

“…Four cerebellar seed points were selected, and the FC of each seed point with other voxels in the whole brain was calculated. FC and cognitive performance were compared between the two groups, and their correlations were analyzed.ResultsStroke patients exhibited increased FC between the bilateral cerebellum IX and BG (particularly the head of the caudate nucleus), which was positively correlated with episodic memory, visuospatial ability, and attention. …”
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Relating proton LETd to biological response of parotid and submandibular glands using PSMA-PET in clinical patients by Dirk Wagenaar, Vineet Mohan, Johannes A. Langendijk, Roel J.H.M. Steenbakkers, Wouter V. Vogel, Stefan Both

“…Parotid and submandibular gland delineations were adjusted to include voxels which had an uptake of ≥ 5 g/ml in the baseline PSMA-PET scan. …”
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fMRI Study on the Functional Connectivity of Nucleus Accumbens in Patients with Knee Osteoarthritis by Yang XIAO, Jiao LIU, kun HU, Meiqin LIN, Youxue TU, Jing TAO, Lidian CHEN, Jia HUANG

“…Our study used the AAL template NAc of the Montreal Neuroscience Institute (MNI) as the region of interest to analyze the differences in the functional connectivity between the NAc and the whole brain voxels in the two groups of subjects and its correlation with the KOOS.Results:The general data (age, gender) of the KOA group were matched with the healthy control group, and the BPI score of the healthy control group was 0. …”
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Ionospheric Response to the 24–27 February 2023 Solar Flare and Geomagnetic Storms Over the European Region Using a Machine Learning–Based Tomographic Technique by Ting Li, Dunyong Zheng, Changyong He, Fei Ye, Pengfei Yuan, Yibin Yao, Mengguang Liao, Jian Xie

“…Computerized ionospheric tomography based on machine learning (CIT‐ML) was used to predict the IEDs of unobserved voxels. The IEDs were examined using observation data from the Swarm satellite. …”
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Longitudinal assessment of diffusion-weighted imaging during magnetic resonance-guided radiotherapy in head and neck cancer by Simon Boeke, Jonas Habrich, Sarah Kübler, Jessica Boldt, Fritz Schick, Konstantin Nikolaou, Jens Kübler, Cihan Gani, Maximilian Niyazi, Daniel Zips, Daniela Thorwarth

“…Absolute and relative temporal changes of mean ADC values, tumor volumes and a high-risk subvolume (HRS) defined by low ADC tumor voxels (600 < ADC < 900 × 10−6 mm2/s) were analyzed. …”
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Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-we... by Xingrui Wang, Zhenhui Xie, Xiaoqing Wang, Yang Song, Shiteng Suo, Yan Ren, Wentao Hu, Yi Zhu, Mengqiu Cao, Yan Zhou

“…After tumor segmentation, the k-means algorithm clustered Ktrans and ADC image voxels to generate spatial habitats and extract quantitative image features. …”
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Automated Quantification of Retinopathy of Prematurity Stage via Ultrawidefield OCT by Spencer S. Burt, BA, Aaron S. Coyner, PhD, Elizabeth V. Roti, BS, Yakub Bayhaqi, PhD, John Jackson, MD, Mani K. Woodward, MS, Shuibin Ni, PhD, Susan R. Ostmo, MS, Guangru Liang, BS, Yali Jia, PhD, David Huang, MD, Michael F. Chiang, MD, Benjamin K. Young, MD, Yifan Jian, PhD, John Peter Campbell, MD

“…Each infant had every B-scan in a volume automatically segmented for ANVTV (total number of segmented voxels within the 60° temporal to the optic disc). …”
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