25 papers · ranked by Valyu relevance
Chloe Hutton, Bogdan Draganski, John Ashburner, Nikolaus Weiskopf
The morphology of cortical grey matter is commonly assessed using T1-weighted MRI together with automated computerised methods such as voxel-based morphometry (VBM) and cortical thickness measures. In the presented study we investigate how grey matter changes identified using voxel-based cortical thickness (VBCT)…
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 + 4 more
Fundamental and clinical neuroscience has benefited from the development of automated computational analyses of Magnetic Resonance Imaging (MRI) data, such as Voxel-based Morphometry (VBM). VBM determines regional gray matter variations with high spatial resolution and results are commonly interpreted in a…
Chloe Hutton, Enrico De Vita, John Ashburner, Ralf Deichmann + 1 more
'Robert Turner'] The thickness of the cerebral cortex can provide valuable information about normal and abnormal neuroanatomy. High resolution MRI together with powerful image processing techniques has made it possible to perform these measurements automatically over the whole brain. Here we present a method for…
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…
Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis + 3 more
'Michael Fulham' 'Weidong Cai'] Abstract—We present a longitudinal MR simulation framework which simulates the future neurodegenerative progression by outputting the predicted follow-up MR image and the voxelbased morphometry (VBM) map. This framework expects the patients to have at least 2 historical MR images…
Andrew M. Michael, Eli Evans, Gregory J. Moore
Voxel based morphometry (VBM) is a widely utilized neuroimaging technique for spatially normalizing brain structural MRI (sMRI) onto a common template. The DARTEL technique of VBM takes into account the spatial intensity distribution of sMRIs to construct a study specific group template. The group template is then used…
Niels K. Focke, Sarah Trost, Walter Paulus, Peter Falkai + 1 more
'Oliver Gruber'] Voxel-based morphometry (VBM) is a commonly used method to study volumetric variations on a whole brain basis. However, it is often criticized for potential confounds, mainly based on imperfect spatial registration. We therefore aimed to evaluate if VBM and “gold standard” manual volumetry are…
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…
Hazel I Zonneveld, Gennady V Roshchupkin, Hieab HH Adams, Boris A Gutman + 4 more
It is increasingly recognized that the complex functions of human cognition are not accurately represented by arbitrarily-defined anatomical brain regions. Given the considerable functional specialization within such regions, more fine-grained studies of brain structure could capture such localized associations.…
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…
Authors not listed
This article is based on the first chapter of book Chung (2013), where brain and medical images are introduced. The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI). A brief introduction to each imaging modality is explained. Further…
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…
Arno Klein, Satrajit S. Ghosh, Forrest S. Bao, Joachim Giard + 8 more
'Yrjö Häme' 'Eliezer Stavsky' 'Noah Lee' 'Brian Rossa' 'Martin Reuter' 'Elias Chaibub Neto' 'Anisha Keshavan' 'Dina Schneidman'] Mindboggle ([http://mindboggle.info]()) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing…
Bryce A. Besler, Tannis D. Kemp, Andrew S. Michalski, Nils D. Forkert + 1 more
'Nils D. Forkert' 'Steven K. Boyd'] Anatomical structures such as the hippocampus, liver, and bones can be analyzed as orientable, closed surfaces. This permits the computation of volume, surface area, mean curvature, Gaussian curvature, and the Euler–Poincaré characteristic as well as comparison of these morphometrics…
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…
Shengdian Jiang, Yimin Wang, Lijuan Liu, Sujun Zhao + 10 more
Recent advances in brain imaging allow producing large amounts of 3-D volumetric data from which morphometry data is reconstructed and measured. Fine detailed structural morphometry of individual neurons, including somata, dendrites, axons, and synaptic connectivity based on digitally reconstructed neurons, is…
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…
Mitko Aleksandrov, Sisi Zlatanova, David J. Heslop, Riccardo Carotenuto
'Riccardo Carotenuto'] Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graphics and many other applications for decades. There is a general necessity to seek adequate digital representations, such as voxels, that would secure unified data structures, multi-resolution…
Chengfeng Wen, Na Lei, Ming Ma, Xin Qi + 3 more
'Xianfeng Gu'] Abstract— Brain morphometry study plays a fundamental role in neuroimaging research. In this work, we propose a novel method for brain surface morphometry analysis based on surface foliation theory. Given brain cortical surfaces with automatically extracted landmark curves, we first construc t finite…
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…
Anas Almukhtar, Xiangyang Ju, Balvinder Khambay, James McDonald + 2 more
'Ashraf Ayoub' 'Xi-Nian Zuo'] Purpose Superimposition of two dimensional preoperative and postoperative facial images, including radiographs and photographs, are used to evaluate the surgical changes after orthognathic surgery. Recently, three dimensional (3D) imaging has been introduced allowing more accurate analysis…
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…
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…
Authors not listed
Volumetric additive manufacturing (VAM) has emerged as a potent method for fabricating complex structures out of soft materials such as hydrogels. In this study, we developed a low-cost photopolymer platform based on low molecular weight poly (ethylene glycol) diacrylate (PEGDA) and alginate (Alg) blends which reduces…