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Journal articles on the topic 'Voxel based analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Abe, Osamu. "Voxel-based Neuroimaging Analysis." Journal of Nihon University Medical Association 71, no. 1 (2012): 68–72. http://dx.doi.org/10.4264/numa.71.68.

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Asgharian Pournodrati, Lida, Mohammad Mahdi Baba, Jannis Gangelhoff, and Uwe Sörgel. "Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 1–6. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-1-2025.

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Abstract. Bathymetric LiDAR data plays a crucial role in mapping underwater topography, enabling applications in coastal monitoring, environmental assessment, and seabed classification. However, the inherent complexity and noise in 3D bathymetric point clouds pose challenges for accurate classification. To address this, we propose a voxel-based method for efficient classification of bathymetric LiDAR data, moving beyond traditional point-wise processing of unstructured point sets. In our approach, 3D points are aggregated into structured voxel grids, and their features are embedded within each

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Yang, Yang, Xin Yu Luo, Hui Jian Yang, and Xing Yu Liao. "Construction for True Three-Dimensional Imaging Display System and Analysis Based on State-Space Model." Advanced Materials Research 860-863 (December 2013): 2287–91. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2287.

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This paper presents a projection based on the true three-dimensional imaging display system. We analyzed true three-dimensional image display system imaging space construction, and proposed a new light emitting structure method of volume pixels (voxel), and also discussed feasibility employing local state-space model - Givone-Roessor model to compute the voxel variables. The mechanical structure is simple and the cost is inexpensive; the field angle is so larger that can display almost half a sphere except the zenith point; and the voxels constructor is easy to implement by micro controller du

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Bienert, A., C. Hess, H. G. Maas, and G. von Oheimb. "A voxel-based technique to estimate the volume of trees from terrestrial laser scanner data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 5, 2014): 101–6. http://dx.doi.org/10.5194/isprsarchives-xl-5-101-2014.

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The precise determination of the volume of standing trees is very important for ecological and economical considerations in forestry. If terrestrial laser scanner data are available, a simple approach for volume determination is given by allocating points into a voxel structure and subsequently counting the filled voxels. Generally, this method will overestimate the volume. The paper presents an improved algorithm to estimate the wood volume of trees using a voxel-based method which will correct for the overestimation. After voxel space transformation, each voxel which contains points is reduc

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Tianhao Zhang and C. Davatzikos. "ODVBA: Optimally-Discriminative Voxel-Based Analysis." IEEE Transactions on Medical Imaging 30, no. 8 (2011): 1441–54. http://dx.doi.org/10.1109/tmi.2011.2114362.

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Liu, Yaming, Ruining Li, Yuxuan Fan, et al. "The influence of anisotropic voxel caused by field of view setting on the accuracy of three-dimensional reconstruction of bone geometric models." AIP Adv 8 (August 16, 2018): 085111. https://doi.org/10.1063/1.5041990.

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The finite element method is playing an increasingly important role in osteoporosis screening. An accurate bone geometric model, a prerequisite for the finite element analysis, is affected by voxels. Isotropic voxel has advantages in three-dimensional reconstruction, but field of view setting usually results in anisotropic voxels. The main goal of this study was to investigate the influence of anisotropic voxel on the accuracy of three-dimensional reconstruction of bone geometric models. Sixty metatarsal bones were scanned twice with an interval of 18 months with different fields of view. We r

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Raut, Savita V., and Dinkar M. Yadav. "A decomposition model and voxel selection framework for fMRI analysis to predict neural response of visual stimuli." Biomedical Engineering / Biomedizinische Technik 63, no. 2 (2018): 163–75. http://dx.doi.org/10.1515/bmt-2016-0194.

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AbstractThis paper presents an fMRI signal analysis methodology using geometric mean curve decomposition (GMCD) and mutual information-based voxel selection framework. Previously, the fMRI signal analysis has been conducted using empirical mean curve decomposition (EMCD) model and voxel selection on raw fMRI signal. The erstwhile methodology loses frequency component, while the latter methodology suffers from signal redundancy. Both challenges are addressed by our methodology in which the frequency component is considered by decomposing the raw fMRI signal using geometric mean rather than arit

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Specht, Karsten, Martina Minnerop, Jonas Müller-Hübenthal, and Thomas Klockgether. "Voxel-based analysis of multiple-system atrophy of cerebellar type: complementary results by combining voxel-based morphometry and voxel-based relaxometry." NeuroImage 25, no. 1 (2005): 287–93. http://dx.doi.org/10.1016/j.neuroimage.2004.11.022.

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Ma, W., M. Li, F. Gao, et al. "DTI Analysis of Presbycusis Using Voxel-Based Analysis." American Journal of Neuroradiology 37, no. 11 (2016): 2110–14. http://dx.doi.org/10.3174/ajnr.a4870.

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Ross, C. Wade, E. Louise Loudermilk, Nicholas Skowronski, Scott Pokswinski, J. Kevin Hiers, and Joseph O’Brien. "LiDAR Voxel-Size Optimization for Canopy Gap Estimation." Remote Sensing 14, no. 5 (2022): 1054. http://dx.doi.org/10.3390/rs14051054.

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Terrestrial laser scanning of forest structure is used increasingly in place of traditional technologies; however, deriving physical parameters from point clouds remains challenging because LiDAR returns do not have defined areas or volumes. While voxelization methods overcome this challenge, estimation of canopy gaps and other structural attributes are often performed by reducing the point cloud to two-dimensions, thus decreasing the fidelity of the data. Furthermore, relatively few studies have evaluated voxel-size effects on estimation accuracy. Here, we show that voxelized laser-scanning d

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Maani, Rouzbeh, Yee Hong Yang, and Sanjay Kalra. "Voxel-Based Texture Analysis of the Brain." PLOS ONE 10, no. 3 (2015): e0117759. http://dx.doi.org/10.1371/journal.pone.0117759.

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Oliveira Santos, Giovanna, Analía L. Arévalo, Timothy J. Herron, et al. "Voxel-Based Lesion Analysis of Ideomotor Apraxia." Brain Sciences 14, no. 9 (2024): 853. http://dx.doi.org/10.3390/brainsci14090853.

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Ideomotor apraxia is a cognitive disorder most often resulting from acquired brain lesions (i.e., strokes or tumors). Neuroimaging and lesion studies have implicated several brain regions in praxis and apraxia, but most studies have described (sub)acute patients. This study aimed to extend previous research by analyzing data from 115 left hemisphere chronic stroke patients using the praxis subtest of the Western Aphasia Battery, which is divided into four action types: facial, upper limb, complex, and instrumental. Lesion–symptom mapping was used to identify brain regions most critically assoc

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Abe, Osamu, Hidemasa Takao, Wataru Gonoi, et al. "Voxel-based analysis of the diffusion tensor." Neuroradiology 52, no. 8 (2010): 699–710. http://dx.doi.org/10.1007/s00234-010-0716-3.

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Baglio, F., M. M. Laganà, M. G. Preti, et al. "Individual Thresholding of Voxel-based Functional Connectivity Maps." Methods of Information in Medicine 54, no. 03 (2015): 227–31. http://dx.doi.org/10.3414/me13-02-0042.

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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Biosignal Interpretation: Advanced Methods for Neural Signals and Images”.Background: Voxel-based functional connectivity analysis is a common method for resting state fMRI data. However, correlations between the seed and other brain voxels are corrupted by random estimate errors yielding false connections within the functional connectivity map (FCmap). These errors must be taken into account for a correct interpretation of single-subject results.Objectives: We estimated the statistical range

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Wang, Han, and Wei Ming Zeng. "An Improved RV Based Fuzzy Cluster Analysis (IRVFCA) Method for Task-Related Functional MRI Data Analysis." Applied Mechanics and Materials 427-429 (September 2013): 1570–73. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1570.

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Functional magnetic resonance imaging (fMRI) has become one of the important tools of functional connectivity studies of the human brain. Fuzzy clustering method (FCM) is a common method for analysis of FMRI data. Traditional FCA methods measure the similarity between the BOLD time course of a centroid and the ones of all other voxels in the brain on the basis of Pearson correlation coefficient. This article puts forward a multi-voxel-based similarity measure, an improved RV (IRV) measure, which takes the hypothesis into account that the function homogeneous voxels of brain volume are spatiall

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Jiang, Bing Chuan, Qing Xia, and Xiong You. "The Application Research on Voxel-Based Expression of the Virtual Geographical Environment." Advanced Materials Research 588-589 (November 2012): 1287–91. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1287.

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Due to the nature of the two-dimensional features of traditional “surface model” method for building the virtual geo-graphic environment, it is difficult to realistically simulate the real world of three-dimensional body. In this paper, fully understanding the basic concepts of voxels and features, based on the analysis of octree voxel model and rendering, we focus on the voxels in a virtual three-dimensional topography of the geographical environment for the simulation of natural phenomena, the expression of geographical process, spatial analysis and its research in the application. Also we d

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Aleksandrov, M., S. Zlatanova, and D. J. Heslop. "VOXELISATION AND VOXEL MANAGEMENT OPTIONS IN UNITY3D." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W2-2022 (October 14, 2022): 13–20. http://dx.doi.org/10.5194/isprs-annals-x-4-w2-2022-13-2022.

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Abstract. Voxels have been used in various application domains successfully for the last several decades. Their main advantage is the underlying discrete data structure allowing to reliably work with surrounding voxels all the time. In this paper, capabilities of the Unity game engine for voxels management and geometry voxelisation are assessed, where 4 native solutions and 7 open-source projects written for Unity are investigated. Although many voxel-based options exist in Unity, they only deal with one part related to voxels. Therefore, the available capabilities to voxelise, visualise, stru

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Niu, Lei, Zhiyong Wang, Zhaoyu Lin, Yueying Zhang, Yingwei Yan, and Ziqi He. "Voxel-Based Navigation: A Systematic Review of Techniques, Applications, and Challenges." ISPRS International Journal of Geo-Information 13, no. 12 (2024): 461. https://doi.org/10.3390/ijgi13120461.

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In recent years, navigation has attracted widespread attention across various fields, such as geomatics, robotics, photogrammetry, and transportation. Modeling the navigation environment is a key step in building successful navigation services. While traditional navigation systems have relied solely on 2D data, advancements in 3D sensing technology have made more 3D data available, enabling more realistic environmental modeling. This paper primarily focuses on voxel-based navigation and reviews the existing literature that covers various aspects of using voxel data or models to support navigat

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Fırat, Orhan, Mete Özay, Itır Önal, Ilke Öztekin, and Fatoş T. Yarman Vural. "Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 3 (2013): 46–57. http://dx.doi.org/10.4018/ijcini.2013070103.

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The authors propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. The distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connectivity matrices are constructed. Then, the local mesh for each voxel is formed

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Cepeda, Santiago, Luigi Tommaso Luppino, Angel Pérez-Núñez, et al. "Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI." Cancers 15, no. 6 (2023): 1894. http://dx.doi.org/10.3390/cancers15061894.

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The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model that identifies areas of future recurrence using a voxel-based radiomics analysis of magnetic resonance imaging (MRI) data. This multi-institutional study included a retrospective analysis of patients diagnosed with glioblastoma who underwent surgery with complete resection of the enhancing tumor. Fifty-five patients met the selection criteria. The study sampl

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Fisher-Gewirtzman, D., A. Shashkov, and Y. Doytsher. "Voxel based volumetric visibility analysis of urban environments." Survey Review 45, no. 333 (2013): 451–61. http://dx.doi.org/10.1179/1752270613y.0000000059.

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KUBOTA, Jun, and Katsuyuki SUZUKI. "1603 Deformable Body Dynamics Using Voxel Based Analysis." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 791–92. http://dx.doi.org/10.1299/jsmecmd.2005.18.791.

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23

Costafreda, Sergi G., Anthony S. David, and Michael J. Brammer. "A parametric approach to voxel-based meta-analysis." NeuroImage 46, no. 1 (2009): 115–22. http://dx.doi.org/10.1016/j.neuroimage.2009.01.031.

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24

Xu, Y., Z. Sun, R. Boerner, T. Koch, L. Hoegner, and U. Stilla. "GENERATION OF GROUND TRUTH DATASETS FOR THE ANALYSIS OF 3D POINT CLOUDS IN URBAN SCENES ACQUIRED VIA DIFFERENT SENSORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 2009–15. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2009-2018.

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In this work, we report a novel way of generating ground truth dataset for analyzing point cloud from different sensors and the validation of algorithms. Instead of directly labeling large amount of 3D points requiring time consuming manual work, a multi-resolution 3D voxel grid for the testing site is generated. Then, with the help of a set of basic labeled points from the reference dataset, we can generate a 3D labeled space of the entire testing site with different resolutions. Specifically, an octree-based voxel structure is applied to voxelize the annotated reference point cloud, by which

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Schnös, Florian, Dirk Hartmann, Birgit Obst, and Glenn Glashagen. "GPU accelerated voxel-based machining simulation." International Journal of Advanced Manufacturing Technology 115, no. 1-2 (2021): 275–89. http://dx.doi.org/10.1007/s00170-021-07001-w.

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AbstractThe simulation of subtractive manufacturing processes has a long history in engineering. Corresponding predictions are utilized for planning, validation and optimization, e.g., of CNC-machining processes. With the up-rise of flexible robotic machining and the advancements of computational and algorithmic capability, the simulation of the coupled machine-process behaviour for complex machining processes and large workpieces is within reach. These simulations require fast material removal predictions and analysis with high spatial resolution for multi-axis operations. Within this contrib

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Sun, Ning, and Jin Min Wei. "Extraction of Inertial Parameters Based on 3D-Voxel Model of Equal Volume." Applied Mechanics and Materials 733 (February 2015): 889–92. http://dx.doi.org/10.4028/www.scientific.net/amm.733.889.

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Because of 3D model in continuous quality can be expressed by a lot of voxels with same size and small enough dimensions, a detection method of inertial parameters based on principal direction of voxel model is proposed. The method first searches three-spindle for voxel model by employing famous principal component analysis (PCA) method and establishes a new coordinates system by three-spindle above. Next, inertial parameters curve of the model can be obtained by calculating principal moment of inertia before translating the origin of the new coordinate system to the minimum point of the model

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Palma, Giuseppe, Serena Monti, Roberto Pacelli, et al. "Radiation Pneumonitis in Thoracic Cancer Patients: Multi-Center Voxel-Based Analysis." Cancers 13, no. 14 (2021): 3553. http://dx.doi.org/10.3390/cancers13143553.

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This study investigates the dose–response patterns associated with radiation pneumonitis (RP) in patients treated for thoracic malignancies with different radiation modalities. To this end, voxel-based analysis (VBA) empowered by a novel strategy for the characterization of spatial properties of dose maps was applied. Data from 382 lung cancer and mediastinal lymphoma patients from three institutions treated with different radiation therapy (RT) techniques were analyzed. Each planning CT and biologically effective dose map (α/β = 3 Gy) was spatially normalized on a common anatomical reference.

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Kimberg, Daniel Y., H. Branch Coslett, and Myrna F. Schwartz. "Power in Voxel-based Lesion-Symptom Mapping." Journal of Cognitive Neuroscience 19, no. 7 (2007): 1067–80. http://dx.doi.org/10.1162/jocn.2007.19.7.1067.

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Lesion analysis in brain-injured populations complements what can be learned from functional neuroimaging. Voxel-based approaches to mapping lesion-behavior correlations in brain-injured populations are increasingly popular, and have the potential to leverage image analysis methods drawn from functional magnetic resonance imaging. However, power is a major concern for these studies, and is likely to vary regionally due to the distribution of lesion locations. Here, we outline general considerations for voxel-based methods, characterize the use of a nonparametric permutation test adapted from f

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SHIRAZAKI, Minoru, Kenji ONO, and Yutaka OHTAKE. "20502 Voxel Based Thermal Fluid Analysis Using Implicit Function." Proceedings of Conference of Kanto Branch 2006.12 (2006): 227–28. http://dx.doi.org/10.1299/jsmekanto.2006.12.227.

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Anderson, John M. M., John R. Votaw, and Marina Piccinelli. "Improved PET-Based Voxel-Resolution Myocardial Blood Flow Analysis." IEEE Transactions on Radiation and Plasma Medical Sciences 1, no. 2 (2017): 136–46. http://dx.doi.org/10.1109/tns.2017.2653059.

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Grosland, Nicole M., and Thomas D. Brown. "A Voxel-based Formulation for Contact Finite Element Analysis." Computer Methods in Biomechanics and Biomedical Engineering 5, no. 1 (2002): 21–32. http://dx.doi.org/10.1080/10255840290032180.

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Varhola, Mara, Rocky Caldararo, Shannon Miller, and James Becker. "Voxel-based analysis of brain morphology in HIV/AIDS." NeuroImage 11, no. 5 (2000): S141. http://dx.doi.org/10.1016/s1053-8119(00)91074-7.

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Thacker, N. A., D. C. Williamson, and M. Pokric. "Voxel based analysis of tissue volume from MRI data." British Journal of Radiology 77, suppl_2 (2004): S114—S125. http://dx.doi.org/10.1259/bjr/11445826.

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34

Marschallinger, Robert. "A voxel visualization and analysis system based on AutoCAD." Computers & Geosciences 22, no. 4 (1996): 379–86. http://dx.doi.org/10.1016/0098-3004(95)00093-3.

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Palma, G., S. Monti, and L. Cella. "Voxel-based analysis in radiation oncology: A methodological cookbook." Physica Medica 69 (January 2020): 192–204. http://dx.doi.org/10.1016/j.ejmp.2019.12.013.

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Stelling, N., and K. Richter. "VOXEL BASED REPRESENTATION OF FULL-WAVEFORM AIRBORNE LASER SCANNER DATA FOR FORESTRY APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 755–62. http://dx.doi.org/10.5194/isprs-archives-xli-b8-755-2016.

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The advantages of using airborne full-waveform laser scanner data in forest applications, e.g. for the description of the vertical vegetation structure or accurate biomass estimation, have been emphasized in many publications. To exploit the full potential offered by airborne full-waveform laser scanning data, the development of voxel based methods for data analysis is essential. In contrast to existing approaches based on the extraction of discrete 3D points by a Gaussian decomposition, it is very promising to derive the voxel attributes from the digitised waveform directly. For this purpose,

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Fang, Guodong, Chenghua Chen, Songhe Meng, and Jun Liang. "Mechanical analysis of three-dimensional braided composites by using realistic voxel-based model with local mesh refinement." Journal of Composite Materials 53, no. 4 (2018): 475–87. http://dx.doi.org/10.1177/0021998318786541.

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The elastic and failure analysis of three-dimensional braided composites is conducted by using realistic geometry model with local mesh refinement. The realistic geometry model is reconstructed by using micro computed tomography images. The voxel meshes are utilized to overcome the difficulties of mesh discretization for realistic geometry model of three-dimensional braided composites with complex meso-geometrical configurations. In order to improve the computational efficiency, the local voxel meshes at the braid yarn boundaries are refined to capture the detailed geometries of braid yarn and

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Stelling, N., and K. Richter. "VOXEL BASED REPRESENTATION OF FULL-WAVEFORM AIRBORNE LASER SCANNER DATA FOR FORESTRY APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 755–62. http://dx.doi.org/10.5194/isprsarchives-xli-b8-755-2016.

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The advantages of using airborne full-waveform laser scanner data in forest applications, e.g. for the description of the vertical vegetation structure or accurate biomass estimation, have been emphasized in many publications. To exploit the full potential offered by airborne full-waveform laser scanning data, the development of voxel based methods for data analysis is essential. In contrast to existing approaches based on the extraction of discrete 3D points by a Gaussian decomposition, it is very promising to derive the voxel attributes from the digitised waveform directly. For this purpose,

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Fiz, Dittmann, Campi, et al. "Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images." Cancers 11, no. 6 (2019): 869. http://dx.doi.org/10.3390/cancers11060869.

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To meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), we developed a novel approach based on adaptive bone segmentation. In this study, we compared the program output with existing estimates and with the radiological outcome. Seventy-six whole-body single-photon emission computed tomographies/x-ray computed tomography with 3,3-diphosphono-1,2-propanedicarboxylic acid from mCRPC patients were analyzed. The software identified the whole skeletal volume (SVol) and classified the voxels metastases (MVol) or normal bone (BVol). SVol was compared

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Tsuda, A., N. Filipovic, D. Haberthür, et al. "Finite element 3D reconstruction of the pulmonary acinus imaged by synchrotron X-ray tomography." Journal of Applied Physiology 105, no. 3 (2008): 964–76. http://dx.doi.org/10.1152/japplphysiol.90546.2008.

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The alveolated structure of the pulmonary acinus plays a vital role in gas exchange function. Three-dimensional (3D) analysis of the parenchymal region is fundamental to understanding this structure-function relationship, but only a limited number of attempts have been conducted in the past because of technical limitations. In this study, we developed a new image processing methodology based on finite element (FE) analysis for accurate 3D structural reconstruction of the gas exchange regions of the lung. Stereologically well characterized rat lung samples ( Pediatr Res 53: 72–80, 2003) were im

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Cerdá Alberich, Leonor, Cinta Sangüesa Nebot, Angel Alberich-Bayarri, et al. "A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors." Cancers 12, no. 12 (2020): 3858. http://dx.doi.org/10.3390/cancers12123858.

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Background/Aim: In recent years, the apparent diffusion coefficient (ADC) has been used in many oncology applications as a surrogate marker of tumor cellularity and aggressiveness, although several factors may introduce bias when calculating this coefficient. The goal of this study was to develop a novel methodology (Fit-Cluster-Fit) based on confidence habitats that could be applied to quantitative diffusion-weighted magnetic resonance images (DWIs) to enhance the power of ADC values to discriminate between benign and malignant neuroblastic tumor profiles in children. Methods: Histogram analy

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Sato, Takahiro, Kota Watanabe, and Hajime Igarashi. "Accuracy evaluation of three-dimensional FE analysis based on nonconforming voxel element." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 1/2 (2013): 181–90. http://dx.doi.org/10.1108/compel-10-2012-0232.

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Purpose – Three-dimensional (3D) mesh generation for shape optimizations needs long computational time. This makes it difficult to perform 3D shape optimizations. The purpose of this paper is to present a new meshing method with light computational cost for 3D shape optimizations. Design/methodology/approach – This paper presents a new meshing method on the basis of nonconforming voxel finite element method. The 3D mesh generation is performed with light computational cost keeping the computational accuracy. Findings – It is shown that the computational cost for 3D mesh generation can be reduc

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Lai, Kuan-Lin, David M. Niddam, Jong-Ling Fuh, Wei-Ta Chen, Jaw-Ching Wu, and Shuu-Jiun Wang. "Cortical morphological changes in chronic migraine in a Taiwanese cohort: Surface- and voxel-based analyses." Cephalalgia 40, no. 6 (2020): 575–85. http://dx.doi.org/10.1177/0333102420920005.

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Background Previous voxel- or surface-based morphometric analysis studies have revealed alterations in cortical structure in patients with chronic migraine, yet with inconsistent results. The discrepancies may be derived partly from the sample heterogeneity. Employing both methods in a clinically homogenous group may provide a clearer view. Methods Structural MRI data from 30 prevention-naïve patients with chronic migraine without medication overuse headache or a history of major depression and 30 healthy controls were analyzed. Vertex-wise (surface-based) or voxel-wise (voxel-based) linear mo

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Oosterhof, Nikolaas N., Tobias Wiestler, Paul E. Downing, and Jörn Diedrichsen. "A comparison of volume-based and surface-based multi-voxel pattern analysis." NeuroImage 56, no. 2 (2011): 593–600. http://dx.doi.org/10.1016/j.neuroimage.2010.04.270.

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Mizuno, Satomi, and Satoshi Maesawa. "Voxel-based Morphometry Analysis for Healthy Aging and Cognitive Function." Higher Brain Function Research 40, no. 3 (2020): 377–84. http://dx.doi.org/10.2496/hbfr.40.377.

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Aleksandrov, M., S. Zlatanova, L. Kimmel, J. Barton, and B. Gorte. "VOXEL-BASED VISIBILITY ANALYSIS FOR SAFETY ASSESSMENT OF URBAN ENVIRONMENTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W8 (September 23, 2019): 11–17. http://dx.doi.org/10.5194/isprs-annals-iv-4-w8-11-2019.

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Abstract:

<p><strong>Abstract.</strong> This paper presents the research and development of a volumetric 3D visibility analysis application to assess public space in regards to safety and security. While most of the academic literature on space visibility concentrates on developing viewsheds from a specific viewpoint, this work integrates dynamic scenarios and real-time calculation of space visibility. Voxel-based spatial representation is utilised as a base for the 3D visibility analysis. Different space configurations are tested illustrating the robustness and usefulness of the devel

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Yuanqing Li, P. Namburi, Zhuliang Yu, Cuntai Guan, Jianfeng Feng, and Zhenghui Gu. "Voxel Selection in fMRI Data Analysis Based on Sparse Representation." IEEE Transactions on Biomedical Engineering 56, no. 10 (2009): 2439–51. http://dx.doi.org/10.1109/tbme.2009.2025866.

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Yu, A. Ram, Jin Su Kim, Chang H. Paik, Kyeong Min Kim, and Sang Moo Lim. "Feasibility of voxel-based statistical analysis method for myocardial PET." Journal of Instrumentation 9, no. 09 (2014): P09005. http://dx.doi.org/10.1088/1748-0221/9/09/p09005.

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Fusar-Poli, P., S. Borgwardt, A. Crescini, et al. "Neuroanatomy of vulnerability to psychosis: A voxel-based meta-analysis." Neuroscience & Biobehavioral Reviews 35, no. 5 (2011): 1175–85. http://dx.doi.org/10.1016/j.neubiorev.2010.12.005.

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Mishnaevsky, Leon. "Micromechanical analysis of nanocomposites using 3D voxel based material model." Composites Science and Technology 72, no. 10 (2012): 1167–77. http://dx.doi.org/10.1016/j.compscitech.2012.03.026.

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