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Spatial Consistency in 3D Tract-Based Clustering Statistics [chapter]

Matthan Caan, Lucas van Vliet, Charles Majoie, Eline Aukema, Kees Grimbergen, Frans Vos
2008 Lecture Notes in Computer Science  
Patient and control FA-distributions are compared per cluster. Spatial consistency is taken to reflect a significant difference between groups.  ...  The method involves a non-rigid registration based on a joint clustering and matching approach, after which a 3Datlas of cluster center points is used as a frame of reference for statistics.  ...  Acknowledgments Matthan Caan is involved in the Virtual Laboratory for e-Science project, supported by a BSIK grant from the Dutch Ministry of Education, Culture and Science, and the ICT innovation program  ... 
doi:10.1007/978-3-540-85988-8_64 fatcat:wv3zstxdczashag547x4ra4dha

Consistent realignment of 3D diffusion tensor MRI eigenvectors

Mirza Faisal Beg, Ryan Dickie, Gregory Golds, Laurent Younes, Josien P. W. Pluim, Joseph M. Reinhardt
2007 Medical Imaging 2007: Image Processing  
based on a Monte-Carlo algorithm adapted from updating clusters of spin systems.  ...  The eigenvector with the largest eigenvalue indicates the local orientation of tissue fibers in 3D as water is expected to diffuse preferentially up and down along the fiber tracts.  ...  Patrick Helm at the University of Virginia for providing us the diffusion tensor MR datasets used in this work. We also acknowledge funding support from NSERC 31-611387 grant.  ... 
doi:10.1117/12.710369 dblp:conf/miip/BegDGY07 fatcat:5cs2caiwcfgc7jh6l6btoibnze

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features

Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich
2010 Medical Image Analysis  
In this paper, we describe a novel tract-specific framework that enables the examination of WM morphometry at both the macroscopic and microscopic scales.  ...  Diffusion tensor imaging plays a key role in our understanding of white matter (WM) both in normal populations and in populations with brain disorders.  ...  The tract-based spatial statistics (TBSS) developed by Smith et al.  ... 
doi:10.1016/j.media.2010.05.002 pmid:20547469 pmcid:PMC2910320 fatcat:og2hujkqknaj7hijvstzv5qlde

A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features [chapter]

Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich
2009 Lecture Notes in Computer Science  
In this paper, we describe a novel tract-specific framework that enables the examination of WM morphometry at both the macroscopic and microscopic scales.  ...  Diffusion tensor imaging plays a key role in our understanding of white matter (WM) both in normal populations and in populations with brain disorders.  ...  The tract-based spatial statistics (TBSS) developed by Smith et al.  ... 
doi:10.1007/978-3-642-04271-3_18 fatcat:2vono3vcgnb4dhmuo4vlok3ure

Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis [chapter]

Mahnaz Maddah, James V. Miller, Edith V. Sullivan, Adolf Pfefferbaum, Torsten Rohlfing
2011 Lecture Notes in Computer Science  
In addition to clustering of trajectories into anatomically meaningful bundles, the method provides statistics of diffusion measures by establishing point correspondences on the estimated medial representation  ...  We also introduce a new approach for medial surface generation of sheet-like fiber bundles in order too initialize the proposed clustering algorithm.  ...  In [4] , ROIs are constructed based on identified tracts, whereas TBSS [11] aligns subjects based on tract skeletons onto which scalar measures are then projected.  ... 
doi:10.1007/978-3-642-23629-7_24 fatcat:x4yt7vof2bhtfcehwxiwxfmycy

Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres

David A. Raffelt, Robert E. Smith, Gerard R. Ridgway, J-Donald Tournier, David N. Vaughan, Stephen Rose, Robert Henderson, Alan Connelly
2015 NeuroImage  
Unfortunately, traditional 3D methods for smoothing and cluster-based statistical inference cannot be used for voxel-based analysis of these measures, since the local neighbourhood for smoothing and cluster  ...  Probabilistic connectivity information is then used for tract-specific smoothing (prior to the statistical analysis) and enhancement of the statistical map (using a threshold-free cluster enhancement-like  ...  Analysis using tract-based spatial statistics Tract-based spatial statistics (TBSS) is currently the most commonly used method for VBA of white matter using diffusion MRI (Smith et al., 2006) .  ... 
doi:10.1016/j.neuroimage.2015.05.039 pmid:26004503 pmcid:PMC4528070 fatcat:wybz2wrzanfrjkjewzgzjneo2q

Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography

Gautam Prasad, Neda Jahanshad, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Arthur W. Toga, Paul M. Thompson
2011 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
This enables tract-based analysis of fiber integrity and connectivity. For multi-subject comparisons, fibers may be clustered into bundles that are consistently found across subjects.  ...  The resulting method may expedite population-based statistical analysis of HARDI and DTI.  ...  One such approach, spectral clustering [8, 7] groups fibers based on pair-wise distance measures among fibers as well as their spatial locations.  ... 
doi:10.1109/isbi.2011.5872405 pmid:25404992 pmcid:PMC4232949 fatcat:ryz4cxoqdrbgjdsfeik5pk74oi

An information theoretic network approach to socioeconomic correlations [article]

Alec Kirkley
2020 arXiv   pre-print
However, heterogeneity in population density, sensitivity of statistical analyses to spatial aggregation, and the importance of pre-drawn political boundaries for policy intervention may decrease the efficacy  ...  , examining the county-level socioeconomic disparities induced from the aggregation of tracts, and constructing an algorithm for the division of a city into homogeneous clusters.  ...  Fig. 3E shows the AMI matrix for the clusters obtained at γ ≈ 0.1, the peak in Fig. 3D .  ... 
arXiv:2009.13825v1 fatcat:ebkth5jlbnet3cqtzrisjnucsi

A Novel Interface for Interactive Exploration of DTI Fibers

Wei Chen, Zi'ang Ding, Song Zhang, A. MacKay-Brandt, S. Correia, Huamin Qu, J.A. Crow, D.F. Tate, Zhicheng Yan, Qunsheng Peng
2009 IEEE Transactions on Visualization and Computer Graphics  
Visual exploration is essential to the visualization and analysis of densely sampled 3D DTI fibers in biological speciments, due to the high geometric, spatial, and anatomical complexity of fiber tracts  ...  This embedding preserves the relationship between the fibers and removes the visual clutter that is inherent in 3D renderings of the fibers.  ...  preserves the spatial relationships of the fiber tracts and provides the user with an uncluttered 2D representation of the data; and • A set of visualization, manipulation, and statistical analysis tools  ... 
doi:10.1109/tvcg.2009.112 pmid:19834218 fatcat:qzjrnfgdhrf47eb6qe5lmvq2zu

Fiber tract associated with autistic traits in healthy adults

Kimito Hirose, Jun Miyata, Genichi Sugihara, Manabu Kubota, Akihiko Sasamoto, Toshihiko Aso, Hidenao Fukuyama, Toshiya Murai, Hidehiko Takahashi
2014 Journal of Psychiatric Research  
We 5 investigated FA in correlation with autistic traits assessed by autism spectrum quotient (AQ) in 91 healthy 6 adults using tract-based spatial statistics (TBSS).  ...  Our findings suggest that of the fibers in pSTS, IFOF is a key fiber that 12 links to autistic traits in healthy adults. 13 14 Keywords 15 Autism, tract-based spatial statistics, tractography, posterior  ...  R: right, L: left, P: posterior, A: anterior, 3D: 3-dimensional, AQ: autism spectrum 12 quotient, TBSS: tract-based spatial statistics, pSTS: posterior superior temporal sulcus, MNIclusters and fiber tracts  ... 
doi:10.1016/j.jpsychires.2014.09.001 pmid:25266474 fatcat:6rrty3astrfulcdfuleog353v4

Tract-Based Spatial Statistics of Diffusion Tensor Imaging in Adults with Dyslexia

T. Richards, J. Stevenson, J. Crouch, L.C. Johnson, K. Maravilla, P. Stock, R. Abbott, V. Berninger
2008 American Journal of Neuroradiology  
Voxelwise statistical analysis of the fractional anisotropy data were carried out by using Tract-Based Spatial Statistics to compare dyslexic subjects versus control subjects in white matter tracts.  ...  fiber tract integrity) are consistent with our previous functional connectivity results from seed points in the bilateral inferior frontal gyrus.  ...  Voxelwise statistical analysis of the FA data were carried out by using tract-based spatial statistics (TBSS), 18 part of FSL. 19 First, FA images were created by fitting the diffusion tensor to the  ... 
doi:10.3174/ajnr.a1007 pmid:18467520 pmcid:PMC2435068 fatcat:rqlk2w4dxvhzndu2v7qmu5e6ai

3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering

Yan Jin, Yonggang Shi, Neda Jahanshad, Iman Aganj, Guillermo Sapiro, Arthur W. Toga, Paul M. Thompson
2011 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
For group studies, fibers must be clustered into recognizable bundles found consistently across subjects. Nonlinear image registration may improve population clustering.  ...  We warped all extracted fibers to a geometrically-centered template using a 3D elastic registration driven by fractional anisotropy maps, to align embedded tracts.  ...  It is highly desirable to cluster fiber tracts into groups consistently in a large population study.  ... 
doi:10.1109/isbi.2011.5872531 dblp:conf/isbi/JinSJASTT11 fatcat:sbunnykhx5fslkfgxsxceh6c64

A comparison of three fiber tract delineation methods and their impact on white matter analysis

Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha E. Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O'Donnell, Marek Kubicki
2018 NeuroImage  
Here we conduct a comparison of three representative and conceptually distinct approaches to fiber tract delineation: 1) a manual multiple region of interest-based approach, 2) an atlas-based approach,  ...  Diffusion magnetic resonance imaging (dMRI) is an important method for studying white matter connectivity in the brain in vivo in both healthy and clinical populations.  ...  tracts, which tend to have a consistent shape, and Clustering is largely shape-based.  ... 
doi:10.1016/j.neuroimage.2018.05.044 pmid:29787865 pmcid:PMC6481642 fatcat:mhsnp6smw5e7fdq2mpk5hil5ya

Shape modeling and clustering of white matter fiber tracts using fourier descriptors

Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang
2009 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology  
Clustering is then performed on these multidimensional features in conjunction with mass centers using a k-means like threshold based approach.  ...  The advantage of this method lies in the fact that Fourier descriptors achieve spatial independent representation and normalization of white matter fiber tracts which makes it useful for tract comparison  ...  This tractography technique produces fiber tracts as spatial curves in the 3D space with unequal separation distances between successive step points.  ... 
doi:10.1109/cibcb.2009.4925741 dblp:conf/cibcb/LiangZCZ09 fatcat:x5foduuhbzgtpn7zifgnxycsze

3D tract-specific local and global analysis of white matter integrity in Alzheimer's disease

Yan Jin, Chao Huang, Madelaine Daianu, Liang Zhan, Emily L. Dennis, Robert I. Reid, Clifford R. Jack, Hongtu Zhu, Paul M. Thompson
2016 Human Brain Mapping  
Previous studies calculated either some summary statistics over regions of interest (ROI analysis) or some statistics along mean skeleton lines (Tract Based Spatial Statistic [TBSS]), so they cannot quantify  ...  Here, a comprehensive WM analysis framework to map disease effects on 3D tracts both locally and globally, based on a study of 200 subjects: 49 healthy elderly normal controls, 110 with mild cognitive  ...  Label Fusion Based Tract Clustering To extract fiber tracts from the whole-brain tractography, we used a clustering algorithm-autoMATE-proposed r White Matter Integrity in Alzheimer's Disease r r 1193  ... 
doi:10.1002/hbm.23448 pmid:27883250 pmcid:PMC5299040 fatcat:3hjns7h4ifbdbmo6yndmtnr6re
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