24 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…
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…
Na Gao, Chenfei Ye, Yanwu Yang, Anqi Li + 6 more
Accurate characterization of hippocampal substructure is crucial for detecting subtle structural changes and identifying early neurodegenerative biomarkers. However, high inter-subject variability and complex folding pattern of human hippocampus hinder consistent cross-subject and longitudinal analysis. Most existing…
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…
Victor B. B. Mello, Richard McKinley, Roland Wiest, Christian Rummel
Time efficient and reliable pipelines for quantitative evaluation of structural brain MRI are essential to utilize the potential of morphometry tools for large scale research projects as well as to pave the path towards future clinical applications. In our work, we have explored this idea by evaluating three deep…
Weimin Zheng, Honghong Liu, Zhigang Li, Kuncheng Li + 4 more
2.4.1#### Segmentation, reconstruction, and registration We used FIRST, an integrated tool developed as a part of the FSL library, to automatically segment all the T1-weighted brain volume MRI scans. These segmented images were spatially normalized into the MNI template space with a 9-parameter (3 translations, 3…
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…
Bingjue Li, Shengmin Zhou, Andrew Peter Murray, Gérard Subsol
Morphometrics is a multivariate technique for shape analysis widely employed in biological, medical, and paleoanthropological applications. Commonly used morphometric methods require analyzing a huge amount of variables for problems involving a large number of specimens or complex shapes. Moreover, the analysis results…
Yajushi Khurana, Keisuke Ishihara
Three-dimensional biological morphologies encode functional and physiological state, yet the directional, orientational, and topological properties of these shapes are rarely captured by morphometric tools available for bioimage analysis. Minkowski tensors are mathematically rigorous tensor-valued measures that encode…
Eva Boneš, Dawar Khan, Ciril Bohak, Benjamin A. Barad + 3 more
Segmented Volumetric Data Authors: ['Eva Boneš' 'Dawar Khan' 'Ciril Bohak' 'Benjamin A. Barad' 'Danielle A. Grotjahn' 'Ivan Viola' 'Thomas Theußl'] King Abdullah University of Science and Technology (KAUST), Saudi Arabia. E-mail: {eva.bones| dawar.khan | ivan.viola | thomas.theussl}@kaust.edu.sa. University of…
Koji Noshita, Hidekazu Murata, Shiryu Kirie
The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is increasing with…
Heitor Mynssen, Kamilla Avelino-de-Souza, Khallil Chaim, Vanessa Lanes Ribeiro + 2 more
Brain reconstruction, specially of the cerebral cortex, is a challenging task and even more so when it comes to highly gyrified brained animals. Here, we present Stitcher, a novel tool capable of generating such surfaces utilizing MRI data and manual segmentation. Stitcher makes a triangulation between consecutive…
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…
Benjamin J. Pomidor, Matt Dean
Geometric Morphometrics (GM) revolutionized the way that biologists quantify shape variation among individuals, populations, and species. Traditional GM methods are based on homologous landmarks that can be reliably identified across all specimens in a sample. However, landmark-based studies are limited by the…
Sawitree Wisetchat, Kent A. Stevens, Stephen R. Frost, Miguel Delgado
'Miguel Delgado'] Measurement of human faces is fundamental to many applications from recognition to genetic phenotyping. While anthropometric landmarks provide a conventional set of homologous measurement points, digital scans are increasingly used for facial measurement, despite the difficulties in establishing their…
A. Arapis, Vassilios Constantoudis, Dimitrios Kontziampasis, Athanasios Milionis + 4 more
'Athanasios Milionis' 'Cheuk Wing Edmond Lam' 'Abinash Tripathy' 'Dimos Poulikakos' 'Εvangelos Gogolides'] bNanometrisis p.c., Neapoleos 27, Agia Paraskevi, Greece cSchool of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, LS29JT, Leeds, UK dAstbury Centre for Structural and Molecular Biology…
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…
Joanna E. Moodie, Colin Buchanan, Anna Furtjes, Eleanor Conole + 12 more
In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning (g)? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise…
Gary P. T. Choi, Khanh Dao Duc, Shira Faigenbaum-Golovin, Karen Habermann + 5 more
A central objective of machine learning is to identify structure and patterns in data. Advances in data acquisition have increasingly produced datasets whose observations possess rich geometric form, giving rise to shape spaces that encode variability in object geometry. Such datasets arise across a wide range of…
Max M. Chumley, Melih C. Yesilli, Jisheng Chen, Firas A. Khasawneh + 1 more
'Yang Guo'] Quantifying patterns in visual or tactile textures provides important information about the process or phenomena that generated these patterns. In manufacturing, these patterns can be intentionally introduced as a design feature, or they can be a byproduct of a specific process. Since surface texture has…
Abigail Dommer, Nicholas Wauer, Kyle Angle, Aakash Davasam + 6 more
Sea spray aerosol (SSA) ejected through bursting bubbles at the ocean surface are complex mixtures of salts and organic species. Composition affects their ability to form marine clouds which cover nearly three-quarters of the Earth and play a critical role in the climate system. Submicron SSA particles have long…
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…