21 papers · ranked by Valyu relevance
Cornelius Kronlage, Ev-Christin Heide, Gisela E. Hagberg, Benjamin Bender + 4 more
In drug-resistant focal epilepsy, detecting epileptogenic lesions using MRI poses a critical diagnostic challenge. Here, we assessed the utility of MP2RAGE-a T1-weighted sequence with self-bias correcting properties commonly utilized in ultra-high field MRI-for the detection of epileptogenic lesions using a…
Pierre Barbier de Reuille, Anne-Lise Routier-Kierzkowska, Daniel Kierzkowski, George W Bassel + 25 more
Morphogenesis emerges from complex multiscale interactions between genetic and mechanical processes. To understand these processes, the evolution of cell shape, proliferation and gene expression must be quantified. This quantification is usually performed either in full 3D, which is computationally expensive and…
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…
Janice L. Pappas, Daniel J. Miller, Alistair Robert Evans
The surface geometry of an organism represents the boundary of its three-dimensional (3D) form and can be used as a proxy for the phenotype. A mathematical approach is presented that describes surface morphology using parametric 3D equations with variables expressed as x, y, z in terms of parameters u, v. Partial…
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…
Qunxi Dong, Wen Zhang, Jianfeng Wu, Bolun Li + 10 more
'Travis McMahon' 'Jie Shi' 'Boris A. Gutman' 'Kewei Chen' 'Leslie C. Baxter' 'Paul M. Thompson' 'Eric M. Reiman' 'Richard J. Caselli' 'Yalin Wang'] Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's disease (AD). The dose-dependent impact of this allele on hippocampal volumes has…
Michelle M. Coleman, Cierra M. Keith, Kirk Wilhelmsen, Rashi I. Mehta + 7 more
'Rashi I. Mehta' 'Camila Vieira Ligo Teixeira' 'Mark Miller' 'Melanie Ward' 'Ramiro Osvaldo Navia' 'William T. McCuddy' "Pierre-François D'Haese" 'Marc W. Haut'] Composite cognitive measures in large-scale studies with biomarker data for amyloid and tau have been widely used to characterize Alzheimer's disease (AD).…
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…
Jianfeng Wu, Qunxi Dong, Jie Zhang, Yi Su + 8 more
Amyloid-β (Aβ) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimer’s disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus to which the…
Arno Klein, Satrajit S. Ghosh, Forrest S. Bao, Joachim Giard + 7 more
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 label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in…
Zhaoning Li, Qunxi Dong, Bin Hu, Haiyan Wu
Mentalising ability, indexed as the ability to understand others’ beliefs, feelings, intentions, thoughts and traits, is a pivotal and fundamental component of human social cognition. However, considering the multifaceted nature of mentalising ability, little research has focused on characterising individual…
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…
Aleksandra Rubin-Starczewska, Przemysław Podgórski, Jakub Ubysz, Magdalena Koszewicz + 6 more
Background/Objectives: Spinal muscular atrophy (SMA) types 2 and 3 are increasingly recognised as potentially multisystem disorders that may involve the central nervous system. However, the extent and pattern of brain structural alterations in adults remain insufficiently characterised. This study aimed to assess brain…
Gary P. T. Choi, Hei Long Chan, Robin Yong, Sarbin Ranjitkar + 4 more
'A.H. Brook' 'Grant C. Townsend' 'Ke Chen' 'Lok Ming Lui'] Shape analysis is important in anthropology, bioarchaeology and forensic science for interpreting useful information from human remains. In particular, teeth are morphologically stable and hence well-suited for shape analysis. In this work, we propose a…
Gianluca Deninno, E. Vittone, Nello Li Pira, Luca Belforte + 2 more
'Fabio Scaffidi Muta' 'Renzo Costa'] Abstract—In the automotive industry, the measurement, control and reproducibility of certain morphological characteristics of surfaces are important to characterize, qualify, certify and optimize different physical properties, such as the degree of wear, the degree of adhesion by…
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…
Allyson Quinn Ryan, Carl D. Modese
Shape analysis and classification are popular methods for biologists, biophysicists and mathematicians investigating relationships between object function and form. Classic shape descriptors, such as sphericity, can be very powerful; however, when evaluating complex shapes, these descriptors can be insufficient for…
Matthias Zeppelzauer, Bartosz Zieliński, Mateusz Juda, Markus Seidl
Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface…
Authors not listed
In this contribution, we will review the concepts and principles used to characterize and discuss the structure, stability, adsorption properties and catalytic reactivity of bimetallic surfaces in an atomic scale picture. Starting from early stages, we will emphasize recent experimental and theoretical findings that…
Authors not listed
Heterogeneous and electrocatalysts play a crucial role in enabling various industrial chemical transformations, with quantum chemistry calculations serving as a fundamental tool for investigating their atomic-scale properties. Advances in computational power have facilitated the study of increasingly complex catalytic…
Authors not listed
The capacity to pattern biomolecules within microfluidic devices expands the scope of microfluidic technologies. In such patterned systems, surface-bound components remained localized, while the microfluidic network supplies reagents and removes waste products. This approach has enabled continuous protein expression…