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Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images [chapter]

Yoshito Otake, Futoshi Yokota, Norio Fukuda, Masaki Takao, Shu Takagi, Naoto Yamamura, Lauren J. O'Donnell, Carl-Fredrik Westin, Nobuhiko Sugano, Yoshinobu Sato
2017 Lecture Notes in Computer Science  
The initialization is computed with a previously proposed algorithm that takes account of only the muscle's surface shape.  ...  The mean fiber distance error at the initialization of 6.00 mm was decreased to 2.78 mm after the proposed optimization for the gluteus maximus muscle, and from 5.28 mm to 3.09 mm for the gluteus medius  ...  This research was supported by MEXT/JSPS KAKENHI 26108004, JST PRESTO 20407, AMED/ETH the strategic Japanese-Swiss cooperative research program, NIH grant U01CA199459 and P41EB015902.  ... 
doi:10.1007/978-3-319-66182-7_75 fatcat:5pso2nwdsjhsdi2uhslfjb6uyi

Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei

Alice Segato, Valentina Pieri, Alberto Favaro, Marco Riva, Andrea Falini, Elena De Momi, Antonella Castellano
2019 Frontiers in Robotics and AI  
A probabilistic q-ball residual-bootstrap MR tractography algorithm was used to reconstruct motor fibers, while the other deep gray matter nuclei surrounding STN and vessels were segmented on T1 and TOF-MRA  ...  Moreover, CTs resulted superior in reaching the center of mass (COM) of STN, as well as in optimizing the entry angle in STN and in the skull surface.  ...  In fact, besides the other gray matter deep nuclei, also white matter (WM) motor fibers of the corticospinal tract (CST) critically run close to the STN and must be preserved.  ... 
doi:10.3389/frobt.2019.00070 pmid:33501085 pmcid:PMC7806057 fatcat:cd5uxwndiffe3bedsv6aqvgm2u

2007 Index IEEE Transactions on Medical Imaging Vol. 26

2007 IEEE Transactions on Medical Imaging  
Yu, P., +, TMI April 2007 582-597 Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry.  ...  ., +, TMI Nov. 2007 1562-1575 A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI.  ... 
doi:10.1109/tmi.2007.912905 fatcat:4kodjew23ffjvebqt5fopjo5oa

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Evelyn Tang, Chad Giusti, Graham L. Baum, Shi Gu, Eli Pollock, Ari E. Kahn, David R. Roalf, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite (+1 others)
2017 Nature Communications  
The mechanism by which white matter evolves to support this coordination is not well understood.  ...  We use a network representation of diffusion imaging data from 882 youth ages 8 to 22 to show that white matter connectivity becomes increasingly optimized for a diverse range of predicted dynamics in  ...  -01, R01MH107235, R01MH107703, R01MH109520, and R01NS099348), the Office of Naval Research, and the National Science Foundation (BCS-1441502, CAREER PHY-1554488, BCS-1631550, and CNS-1626008).  ... 
doi:10.1038/s41467-017-01254-4 pmid:29093441 pmcid:PMC5665937 fatcat:echxtaar2rablfmcotiq5jhqly

Multi-channel Diffusion Tensor Image Registration via adaptive chaotic PSO

Yudong Zhang, Shuihua Wang, Lenan Wu, Yuankai Huo
2011 Journal of Computers  
and Particle Swarm Optimization  ...  Registration or spatial normalization of diffusion tensor images plays an important role in many areas of human brain white matter research, such as analysis of Fraction Anisotropy (FA) or whiter matter  ...  Registration is a key step in many areas of white matter research, such as analysis of Fraction Anisotropy (FA) [3] or mapping white matter tracts in different applications, including white matter disorders  ... 
doi:10.4304/jcp.6.4.825-829 fatcat:buwfejiolbdcpfsleeu7i77m4m

Genetics of primary cerebral gyrification: Heritability of length, depth and area of primary sulci in an extended pedigree of Papio baboons

P. Kochunov, D.C. Glahn, P.T. Fox, J.L. Lancaster, K. Saleem, W. Shelledy, K. Zilles, P.M. Thompson, O. Coulon, J.F. Mangin, J. Blangero, J. Rogers
2010 NeuroImage  
Genetic control over morphological variability of primary sulci and gyri is of great interest in the evolutionary, developmental and clinical neurosciences.  ...  Our results imply that heritability of sulcal phenotypes may be regionally modulated by arcuate U-fiber systems.  ...  During OBM processing pial and gray matter/white matter interfaces are reconstructed from the tissue segmented image (Fig. 1C -F).  ... 
doi:10.1016/j.neuroimage.2009.12.045 pmid:20035879 pmcid:PMC2888833 fatcat:7mybpcuy2vdfrgl5myiyfrd4oq

Efficient Coding in the Economics of Human Brain Connectomics [article]

Dale Zhou, Christopher W Lynn, Zaixu Cui, Rastko Ciric, Graham L Baum, Tyler M Moore, David R Roalf, John A Detre, Ruben C Gur, Raquel E Gur, Theodore D Satterthwaite, Danielle S Bassett
2020 bioRxiv   pre-print
Metabolism is balanced with the coupling of structures supporting diffusion and network modularity.  ...  Compression efficiency evolves with development, heightens when metabolic gradients guide diffusion, constrains network complexity, explains how rich-club hubs integrate information, and correlates with  ...  The accurate reconstruction of white-matter pathways using DTI and tractography remains limited [48] .  ... 
doi:10.1101/2020.01.14.906842 fatcat:om3pa7bcrrhprbjnwigepf2uqy

A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis

Pablo Mesejo, Óscar Ibáñez, Óscar Cordón, Stefano Cagnoni
2016 Applied Soft Computing  
Deformable models are segmentation techniques that adapt a curve with the goal of maximizing its overlap with the actual contour of an object of interest within an image.  ...  Such a process requires that an optimization framework be defined whose most critical issues include: choosing an optimization method which exhibits robustness with respect to noisy and highly-multimodal  ...  curve (like a B- Spline) [167] .  ... 
doi:10.1016/j.asoc.2016.03.004 fatcat:3mgmo7vuurd4tnijod5a5kwn7m

Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging

Emma Sprooten, Rafael O'Halloran, Juliane Dinse, Won Hee Lee, Dominik Andreas Moser, Gaelle Eve Doucet, Morgan Goodman, Hannah Krinsky, Alejandro Paulino, Alexander Rasgon, Evan Leibu, Priti Balchandani (+2 others)
2019 NeuroImage  
Intracortical myelin is a key determinant of neuronal synchrony and plasticity that underpin optimal brain function.  ...  Magnetic resonance imaging (MRI) facilitates the examination of intracortical myelin but presents with methodological challenges.  ...  In general, FA values estimated near the graywhite matter boundary are more susceptible to artifacts in the modeling of white matter fibers close to the cortex.  ... 
doi:10.1016/j.neuroimage.2018.10.023 pmid:30312809 pmcid:PMC6289812 fatcat:yj3q27evwbairnw6gyz3bclmeu

Lightweight Research in Engineering: A Review

Jiao Wang, Yan Li, Gang Hu, Mingshun Yang
2019 Applied Sciences  
The problems associated with lightweight were initially considered and systematically studied in aircraft manufacturing in engineering.  ...  In the field of mechanical equipment manufacturing, the focus of research and development is not on weight reduction, but on how to choose between the rigidity and performance of components (such as strength  ...  [77] introduced the free curve of closed B-spline as the structural topology optimization of basic design elements in order to realize topology optimization with a small number of design variables.  ... 
doi:10.3390/app9245322 fatcat:l3hl2jp6yndw3biye4ftdwpheu

Efficient Coding in the Economics of Human Brain Connectomics [article]

Dale Zhou, Christopher W. Lynn, Zaixu Cui, Rastko Ciric, Graham L. Baum, Tyler M. Moore, David R. Roalf, John A. Detre, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Danielle S. Bassett
2021 arXiv   pre-print
We find that compression efficiency prioritizes fidelity with development, heightens when metabolic resources and myelination guide communication, explains advantages of hierarchical organization, links  ...  We show that structural networks strike compression efficiency trade-offs consistent with theoretical predictions.  ...  Acknowledgments We acknowledge helpful discussions with Dr. Jennifer Stiso, Dr. Richard Betzel, Dr. David Lydon-Staley, Dr. Lorenzo Caciagli, Adon Rosen, and Dr. Bart Larsen.  ... 
arXiv:2001.05078v2 fatcat:3f5vope56zh4va4liskj3c54em

HCN channel-mediated neuromodulation can control action potential velocity and fidelity in central axons

Niklas Byczkowicz, Abdelmoneim Eshra, Jacqueline Montanaro, Andrea Trevisiol, Johannes Hirrlinger, Maarten HP Kole, Ryuichi Shigemoto, Stefan Hallermann
2019 eLife  
Computational modeling indicated that HCN2 channels control conduction velocity primarily by altering the resting membrane potential and are associated with significant metabolic costs.  ...  These results suggest that the cAMP-HCN pathway provides neuromodulators with an opportunity to finely tune energy consumption and temporal delays across axons in the brain.  ...  Acknowledgements We would like to thank Torsten Bullmann for help with implementing the NEURON model in the Python environment and Klaus Nave and the department of Neurogenetics at the Max Planck Institute  ... 
doi:10.7554/elife.42766 pmid:31496517 pmcid:PMC6733576 fatcat:55mr6siufvawbc2hoqjeutu6wm

THE VIRUS-P EXPLORATION OF NEARBY GALAXIES (VENGA): SURVEY DESIGN, DATA PROCESSING, AND SPECTRAL ANALYSIS METHODS

Guillermo A. Blanc, Tim Weinzirl, Mimi Song, Amanda Heiderman, Karl Gebhardt, Shardha Jogee, Neal J. Evans, Remco C. E. van den Bosch, Rongxin Luo, Niv Drory, Maximilian Fabricius, David Fisher (+5 others)
2013 Astronomical Journal  
We also propose a new method to measure the inclination of nearly face-on systems based on the matching of the stellar and gas rotation curves using asymmetric drift corrections.  ...  gas, and other physical quantities derived from the fitting of the stellar spectrum and the measurement of nebular emission lines.  ...  Following the results of Fisher & Drory (2008) we adopt a limit of n B = 2. We consider classical bulges those with n B > 2 and pseudo-bulges those with with n B < 2.  ... 
doi:10.1088/0004-6256/145/5/138 fatcat:y344luu2urb7he7cbefflia3lq

HCN channel-mediated neuromodulation can control action potential velocity and fidelity in central axons [article]

Niklas Byczkowicz, Abdelmoneim Eshra, Jacqueline Montanaro, Andrea Trevisiol, Johannes Hirrlinger, Maarten H. P. Kole, Ryuichi Shigemoto, Stefan Hallermann
2019 bioRxiv   pre-print
Computational modeling indicated that HCN2 channels control conduction velocity primarily via altering the resting membrane potential and was associated with significant metabolic costs.  ...  Recordings from mice cerebellar mossy fiber boutons show that HCN channels ensure reliable high-frequency firing and are strongly modulated by cAMP (EC50 40 microM; estimated endogenous cAMP concentration  ...  Compound action potentials were evoked at 0.5 Hz in 511 parallel fibers and 1 Hz in the white matter. All recordings were performed in the 512 presence of 10 µM NBQX to block synaptic potentials.  ... 
doi:10.1101/643197 fatcat:mygg7jovfnbijls73wmwha6mre

Asymmetric transcallosal conduction delay leads to finer bimanual coordination [article]

Marta Bortoletto, Laura Bonzano, Agnese Zazio, Ludovico Pedulla, Roberto Gasparotti, Carlo Miniussi, Marco Bove
2020 bioRxiv   pre-print
The role of transcallosal conduction delay (TCD) in hemispheric dominance and behavioral outcomes has long been theorized, but it has scarcely been investigated due to methodological shortcomings.  ...  The mean value of each DTI-derived parameter was calculated for 343 each scan in the voxels included in the callosal fibers within three ROIs (genu, body, and splenium) 344 from the JHU ICBM 81 white matter  ...  Fitted curves were 154 carried out through smoothed spline methods applied to predicted values -obtained by bootstrap procedure-of the LMMs. 162hand interval, with opposite effects.  ... 
doi:10.1101/2020.01.24.918102 fatcat:rdyznoqk7nemfaelnmmgbbaiim
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