21 papers · ranked by Valyu relevance
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…
Tadashi Shiohama, Keita Tsujimura
Congenital genetic disorders often present with neurological manifestations such as neurodevelopmental disorders, motor developmental retardation, epilepsy, and involuntary movement. Through qualitative morphometric evaluation of neuroimaging studies, remarkable structural abnormalities, such as lissencephaly…
Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Xuejun Hao + 5 more
'Dongrong Xu' 'Jun Liu' 'Myrna Weissman' 'Bradley S. Peterson' 'Wang Zhan'] Objective Diagnoses using imaging-based measures alone offer the hope of improving the accuracy of clinical diagnosis, thereby reducing the costs associated with incorrect treatments. Previous attempts to use brain imaging for diagnosis…
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré + 4 more
'Jason Dowling' 'Jürgen Fripp' 'Clinton Fookes' 'Olivier Salvado'] Brain morphometry from magnetic resonance imaging (MRI) is a consolidated biomarker for many neurodegenerative diseases. Recent advances in this domain indicate that deep convolutional neural networks can infer morphometric measurements within a few…
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…
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…
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…
Madeleine B. Chollet, Kristina Aldridge, Nicole Pangborn, Seth M. Weinberg + 2 more
'Seth M. Weinberg' 'Valerie B. DeLeon' 'Jean-Claude Baron'] Neuroanatomic phenotypes are often assessed using volumetric analysis. Although powerful and versatile, this approach is limited in that it is unable to quantify changes in shape, to describe how regions are interrelated, or to determine whether changes in…
G. Sophia Borgeest, Richard N. Henson, Tim C. Kietzmann, Christopher R. Madan + 6 more
The thickness and surface area of cortex are genetically distinct aspects of brain structure, and may be affected differently by age. However, their potential to differentially predict age and cognitive abilities has been largely overlooked, likely because they are typically aggregated into the commonly used measure of…
Chung-Yi Yang, Hon-Man Liu, Shan-Kai Chen, Ya-Fang Chen + 3 more
Five MRI scanners were used at our institute during 2011 to 2013. A routine brain MRI examination contained a 3D T1 pulse sequence on every subject. The sequences used for morphometric analysis in each MRI scanner are listed below. Please note that, although these are the default parameters in the scanning protocols…
Kevin Akeret, Christiaan Hendrik Bas van Niftrik, Martina Sebök, Giovanni Muscas + 8 more
'Giovanni Muscas' 'Thomas Visser' 'Victor E. Staartjes' 'Federica Marinoni' 'Carlo Serra' 'Luca Regli' 'Niklaus Krayenbühl' 'Marco Piccirelli' 'Jorn Fierstra'] Specific anatomical patterns are seen in various diseases affecting the brain. Clinical studies on the topography of pathologies are often limited by the…
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…
Charlie Aird-Rossiter, Hui Zhang, Daniel C. Alexander, Derek K. Jones + 1 more
inform microstructural modeling of diffusion MR signals Authors: ['Charlie Aird-Rossiter' 'Hui Zhang' 'Daniel C. Alexander' 'Derek K. Jones' 'Marco Palombo'] However, designing sensible biophysical models and appropriate dMRI acquisitions is challenging, especially for gray matter (GM), as little is known about typical…
Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer + 2 more
'Edward McAuley' 'Gustavo K. Rohde'] Disease in the brain is often associated with subtle, spatially diffuse, or complex tissue changes that may lie beneath the level of gross visual inspection, even on magnetic resonance imaging (MRI). Unfortunately, current computer-assisted approaches that examine pre-specified…
R. Jarrett Rushmore, Kyle Sunderland, Holly Carrington, Justine Chen + 12 more
'Michael Halle' 'Andras Lasso' 'G. Papadimitriou' 'N. Prunier' 'Elizabeth Rizzoni' 'Brynn Vessey' 'Peter Wilson-Braun' 'Yogesh Rathi' 'Marek Kubicki' 'Sylvain Bouix' 'Edward Yeterian' 'Nikos Makris'] Magnetic resonance imaging (MRI)-based brain segmentation has recently been revolutionized by deep learning methods.…
Corina J Logan, Shahar Avin, Neeltje Boogert, Andrew Buskell + 8 more
Despite prolonged interest in comparing brain size and behavioral proxies of ‘intelligence’ across taxa, the adaptive and cognitive significance of brain size variation remains elusive. Central to this problem is the continued focus on hominid cognition as a benchmark, and the assumption that behavioral complexity has…
Jasmin Klischat, Marko Wilke, Alpen Ortug
Head circumference is a fundamental biometric parameter for brain growth in both the clinical pediatric setting and in developmental neuroscience. However, the gold standard for obtaining head circumference by manual tape measurement is notoriously error-prone. Further, while it is known that the growth trajectories of…
Amy Gérin-Lajoie, Walter Adame-Gonzalez, Eve-Marie Frigon, Liana Guerra Sanches + 4 more
Neurodegenerative diseases are associated with brain atrophy. The volume of in vivo human brains is determined with various magnetic resonance imaging (MRI) measurement tools of which the validity has not been assessed against a gold standard. Here, we propose to validate the MRI brain volumes by scanning ex vivo-in…
Adrià Casamitjana, Matteo Mancini, Eleanor Robinson, Loïc Peter + 20 more
Magnetic resonance imaging (MRI) is the standard tool to image the human brain in vivo. In this domain, digital brain atlases are essential for subject-specific segmentation of anatomical regions of interest (ROIs) and spatial comparison of neuroanatomy from different subjects in a common coordinate frame.…
Eve-Marie Frigon, Victoria Perreault, Amy Gérin-Lajoie, Liana Guerra Sanches + 5 more
Post-mortem magnetic resonance imaging (MRI) offers high resolution and histological correlation, so protocols have been developed by brain banks using hemispheres fixed by immersion in Neutral-buffered formalin (NBF), but they provide limited tissue samples. Conversely, anatomy laboratories could supply complete…
Vladimir Shalgunov, Sara Irence Lopes van den Broek, Ida Vang Andersen, Rocío García Vázquez + 12 more
Vladimir Shalgunov 1 , Sara Lopes van den Broek 1 , Ida Vang Andersen 1 , Rocío García Vázquez 1 , Nakul Raval 1 , Mikael Palner 1 , Yuki Mori 1 , Gabriela Schäfer 2 , Hannes Mikula 3 , Natalie Beschorner 1 , Maiken Nedergaard 1 , Stina Syvänen 4 , Matthias Barz 2 , Gitte Moos Knudsen 1 , Umberto Maria Battisti 1 …