23 papers · ranked by Valyu relevance
Christian Gaser, Robert Dahnke, Paul M Thompson, Florian Kurth + 2 more
A large range of sophisticated brain image analysis tools have been developed by the neuroscience community, greatly advancing the field of human brain mapping. Here we introduce the Computational Anatomy Toolbox (CAT)-a powerful suite of tools for brain morphometric analyses with an intuitive graphical user interface…
Julia Krüger, Roland Opfer, Lothar Spies, Dennis Hedderich + 1 more
'Ralph Buchert'] Objectives Reliable detection of disease-specific atrophy in individual T1w-MRI by voxel-based morphometry (VBM) requires scanner-specific normal databases (NDB), which often are not available. The aim of this retrospective study was to design, train, and test a deep convolutional neural network (CNN)…
Xinqi Zhou, Renjing Wu, Yixu Zeng, Ziyu Qi + 8 more
'Lei Xu' 'Xiaoxiao Zheng' 'Jialin Li' 'Meina Fu' 'Shuxia Yao' 'Keith M. Kendrick' 'Benjamin Becker'] Fundamental and clinical neuroscience has benefited tremendously from the development of automated computational analyses. In excess of 600 human neuroimaging papers using Voxel-based Morphometry (VBM) are now published…
Michal Rafal Zareba, Magdalena Fafrowicz, Tadeusz Marek, Ewa Beldzik + 2 more
In recent decades magnetic resonance imaging (MRI) has established itself as the golden standard for studying human brain structure in health and disease. As a result, it has become increasingly more important to identify factors that may influence study outcomes and contribute to misleading conclusions. With the…
L. Fisch, Nils R. Winter, Janik Goltermann, Carlotta Barkhau + 24 more
Networks Authors: ['L. Fisch' 'Nils R. Winter' 'Janik Goltermann' 'Carlotta Barkhau' 'Daniel Emden' 'Jan Ernsting' 'Maximilian Konowski' 'Ramona Leenings' 'Tiana Borgers' 'Kira Flinkenflügel' 'Dominik Grotegerd' 'Anna Kraus' 'Elisabeth J. Leehr' 'Susanne Meinert' 'Frederike Stein' 'Lea Teutenberg' 'Florian…
Gregor Domes, Marie-Anne Croyé, Petra Freilinger, Andreas Bohlscheid + 2 more
'Winfried A. Willinek' 'Jobst Meyer'] Background Changes in the brain structure of women with Triple X syndrome (karyotype 47,XXX) have been described in a few studies to date, including reduced total brain volume and regional reductions in gray substance in cortical and subcortical areas. However, the empirical…
Rachel A. Roston, Nicholas J. Tustison, A. Murat Maga
Image registration-based volumetric morphometrics have emerged as a valuable method for identifying subtle morphological differences in neuroimaging and other biomedical images. However, accurate registration out-of-the-box remains challenging when overt morphological phenotypes-such as those observed in developmental…
Rachel A. Roston, Nicholas J. Tustison, A. Murat Maga
Image registration-based volumetric morphometrics have emerged as a valuable method for identifying subtle morphological differences in neuroimaging and other biomedical images. However, accurate registration out-of-the-box remains challenging when overt morphological phenotypes—such as those observed in developmental…
Trang Cao, James C. Pang, Ashlea Segal, Yu-Chi Chen + 3 more
Voxel-based morphometry (VBM) and surface-based morphometry (SBM) are two widely used neuroimaging techniques for investigating brain anatomy. These techniques rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori regions-of-interest. They are powerful tools for…
Roman Vyškovský, Daniel Schwarz, Vendula Churová, Tomáš Kašpárek + 1 more
'Stefano Barlati'] Schizophrenia is a severe neuropsychiatric disease whose diagnosis, unfortunately, lacks an objective diagnostic tool supporting a thorough psychiatric examination of the patient. We took advantage of today’s computational abilities, structural magnetic resonance imaging, and modern machine learning…
Donato Quiccione, Mariam Pirashvili, Nathan Broomhead, Sean J. Fallon
Understanding the structure of the brain, and how it changes with time and disease, is a core goal of structural neuroimaging. Contemporary approaches to structural brain analysis are dominated by voxel-wise, mass-univariate methods such as voxel-based morphometry (VBM). However, these techniques require images to be…
Rachel A. Roston, Sophie M. Whikehart, Sara M. Rolfe, Murat Maga
In the past few decades, advances in 3D imaging have created new opportunities for reverse genetic screens. Rapidly growing datasets of 3D images of genetic knockouts require high-throughput, automated computational approaches for identifying and characterizing new phenotypes. However, exploratory, discovery-oriented…
Marco A. Palma, Shahin Tavakoli, Julia Brettschneider, Ana‐Maria Staicu + 1 more
skewed functional data analysis Authors: ['Marco A. Palma' 'Shahin Tavakoli' 'Julia Brettschneider' 'Ana‐Maria Staicu' 'Thomas E. Nichols'] Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…
Martina Paccini, Salvatore Patanè, Michela Spagnuolo
This work proposes a framework for the patient-specific characterization of the spine, which integrates information on the tissues with geometric information on the spine morphology. Key elements are the extraction of 3D patient-specific models of each vertebra and the intervertebral space from 3D CT images, the…
Pedro A. Luque Laguna, Ahmad Beyh, Francisco de S. Requejo, Richard Stones + 5 more
Most neuroimaging modalities use regular grids of voxels to represent the three-dimensional space occupied by the brain. However, a regular 3D voxel grid does not reflect the anatomical and topological complexity represented by the brain’s white matter connections. In contrast, tractography reconstructions based on…
Matheus Müller Pereira da Silva, Isabella Alvim Guedes, Fábio Lima Custódio, Laurent Emmanuel Dardenne
A critical aspect of successful deep learning (DL) modelling in computer-aided drug discovery (CADD) is the representation of biomolecular data. Voxel grid representations have emerged as a straightforward method for depicting 3D molecular structures of protein-ligand complexes. Proper structural preparation of these…
Raffaele Da Mutten, Rafael Turczynski Holmgren, Erik Edström, Adrian Elmi-Terander + 1 more
Purpose Linear two-dimensional indices such as the Evans index, callosal angle, and fronto-occipital horn ratio remain the clinical standard for hydrocephalus assessment, yet are limited by measurement variability, insensitivity to spatial CSF redistribution, and reduced sensitivity to volumetric change over time. This…
Ekaterina Kondrateva, Sandzhi Barg, Mikhail Vasiliev
arXiv:2504.15931v1 [cs.CV] 22 Apr 2025 Accurate and reproducible brain morphometry from structural MRI is critical for monitoring neuroanatomical changes across time and imaging domains. Although deep learning has accelerated segmentation workflows, scanner-induced variability and reproducibility limitations…
Javier Fabre, Carlos Castillo, Carlos Rodriguez-Pardo, Jorge Lopez-Moreno
Many materials show anisotropic light scattering patterns due to the shape and local alignment of their underlying micro structures: surfaces with small elements such as fibers, or the ridges of a brushed metal, are very sparse and require a high spatial resolution to be properly represented as a volume. The…
Natenael B. Semmineh, Indranil Guha, Deborah Healey, Anagha Chandrasekharan + 2 more
'Anagha Chandrasekharan' 'Jerrold L. Boxerman' 'C. Chad Quarles'] N.B.S., I.G. 'Conceptualized the project, developed the MR signal simulation tool, image analysis algorithms, and deep learning model, designed the experiments, analyzed the data, and wrote the manuscript.', D.H. and A.C. 'Acquired the LSFM images and…
Authors not listed
Vertex models have been established as powerful tools for the cell-based simulation of epithelial tissues as they allow a detailed description of their mechanical development with respect to the properties of individual cells. Thus, they suit the challenges of simulating intestinal organoids which arise from the…
Russel Arbore, J. Liu, Aidan Wefel, Steven Gao + 1 more
Voxels are a geometric representation used for rendering volumes, multi-resolution models, and indirect lighting effects. Since the memory consumption of uncompressed voxel volumes scales cubically with resolution, past works have introduced data structures for exploiting spatial sparsity and homogeneity to compress…
Kelsey Hatzell, Yanjie Zheng
X-ray Computed Tomography (CT) is a non-invasive, non-destructive approach to imaging materials, material systems and engineered components in two- and three- dimensions. Acquisition of 3D images requires the collection of hundreds or thousands of through-thickness X-ray radiographic images from different angles. Such…