Shape analysis with multivariate tensorbased morphometry. Pdf multivariate tensorbased morphometry with a rightinvariant. In tensorbased morphometry tbm, a template t is matched to a study s. His teams research projects focus on the neuroscience, mathematics, computer science, software engineering and clinical aspects of neuroimaging and brain mapping. Batch processing instructions the tbm package is intended for analysis of groups of pairwise longitudinal images. This means a set of subject names in which each subject has a. Hypoplasia of cerebellar afferent networks in down.
A tensorbased morphometry analysis of regional differences in. Natasha lepore, phd keck school of medicine of usc. Deformation based morphometry dbm is a method for identifying macroscopic anatomical di erences among the brains of di erent populations of subjects. We used dtidriven tensor based morphometry dtbm, a novel technique that extracts morphometric information from diffusion data, to investigate brain anatomy in 15 participants with ds and 15 age. Contribution to speech development of the right anterior putamen revealed with multivariate tensor based morphometry abstract. Regional patterns of grey matter change over time were assessed using tensor based morphometry using the symmetric normalization algorithm from the ants software. It is a voxel wise method to statistically compare local anisotropy values for the whole. One of the most popular tensor decomposition is the socalled parafac decomposition 15. The most popular morphometric method, thus, is known as voxelbased morphometry vbm. We also develop nonlinear image registration approaches, which fluidly deform. Tensorbased morphometry using scalar and directional. Brain mapping as a tool to study neurodegeneration. Prior to running tbm in brainsuite statistics toolbox bss, cortical surface extraction and surfacevolume registration need to be run on your subject data. Rapoport abstract we present a unified statistical approach to deformation based morphometry.
Tensorbased morphometry as a neuroimaging biomarker for. Software for computing frechet derivatives of matrix functions is. Tensor based morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian determinant of the deformation matrix. The major functionality of these tools is to extract and parameterize the inner and outer surfaces of the cerebral cortex, to segment and label gray and white matter structures, and to analyze. Recall that in a population tensor based morphometry or jacobian study one maps all subjects in the population to a group template. Tensor based morphometry tbm or boundary shift integral bsi. Paul thompson is a professor in the keck school of medicine of usc. Learning tensorbased representations from braincomputer. My current work involves the development of numerical tools for the analysis of brain structural and diffusion magnetic resonance imaging data. Voxelbased morphometry and diffusion tensor imaging of. In 2009 ieee 12th international conference on computer vision, iccv 2009 pp. In one of the largest brain mri studies to date, we used tensorbased morphometry tbm to create 3d maps of structural atrophy in 676 subjects with alzheimers disease ad, mild cognitive impairment mci, and healthy elderly controls, scanned as part of the alzheimers disease neuroimaging initiative adni.
Voxelbased morphometry vbm is one such automated technique that. Tensorbased morphometry tbm is one such image analysis. Tracking the development of aphasia in primary progressive. Morphometry wellcome centre for human neuroimaging. Can any researcher guide me to a software for deep brain stimulation. Topologicallypreserving straightening of spinal cord mri. Our results indicate surface changes between 12 and 15 months age groups in the middle superior part the left putamen. These may occur during typical development or injury recovery, but might also be induced by disease or as effects of prescribed treatments. Tensor based morphometry and shape the brain undergoes a wide variety of morphological changes over time. For the more detailed description of the system features, please see the user guide.
Wmh white matter hyperintensities p oag is a progressive optic neuropathy characterized by irreversible loss of retinal ganglion cells, degeneration of their axons in the on, and visual field loss. This covers diverse morphometric methods such as voxelbased morphometry vbm. Multivariate tensor based subcortical morphometry system. Eight patients developed aphasia at followup progressors and 12 did not nonprogressors. Tensorbased morphometry utilizing symmetric normalization syn was used to assess patterns of grey matter atrophy and voxelbased morphometry was used to assess patterns of grey matter loss at baseline. Improved robustness and sample size estimates for alzheimers disease clinical trials xue hua, a derrek p. A persistent homology based wholebrain network measure system. Vbm is most often applied to investigate the local distribution of grey matter, but can also be used to examine white matter. Voxelbased morphometry vbm and tensorbased morphometry tbm both rely on spatial normali. Given the subtle and distributed brain changes that occur with development and. Pattern based morphometry pbm is a method of brain morphometry first put forth in pbm. In this experiment, the tensor decomposition method is applied to the eeg brain data measured for a phishing detection task. Unified voxel and tensorbased morphometry uvtbm using. The software applied hotellings t test to evaluate the overall significance of experimental result and give a significance pmap.
Brain morphometry encyclopedia article citizendium. Morphometrics with spm12 john ashburner wellcome trust centre for neuroimaging, 12 queen square, london, uk. A frequent consequence is the development of lightinduced pain, or photalgia, which can often lead to prolonged debilitation. Voxel based morphometry analysis of dti data using ttests. The development of intraneuronal inclusions of the mutated. Applied neurobiological imaging data processing archives. The presence of aphasia was defined as agrammatism in either written or spoken language. Combining thickness information with surface tensorbased. Ad progression in the same topography as typical ad development, starting. Combining thickness information with surface tensor based morphometry for the 3d statistical analysis of the corpus callosum by. Voxel based morphometry vbm vbm provides the voxelwise estimation of the local amount or volume of a specific tissue compartment ashburner 2005. Pbm is based on the application of sparse dictionary learning to morphometry. The software was developed by christian gaser university of jena. Tensor based morphometry utilizing symmetric normalization was used to assess patterns of grey matter atrophy and voxel based morphometry was used to assess patterns of grey matter loss at baseline.
Shape analysis with multivariate tensorbased morphometry and holomorphic differentials. Updated tensorbased morphometry data available adni. Since autopsylike dissection is generally impossible on living brains, brain morphometry starts with noninvasive neuroimaging data, typically obtained from magnetic. Tensorbased morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian determinant of the deformation matrix. Tensor based morphometry data generated by the thompson lab loni is available from the download section of the adni archive. Alzheimers disease ad is the most common neurodegenerative disorder for those 65 years or older. Voxelbased morphometry there are two main methods of analyzing diffusion images. Multivariate tensor based ventricular morphometry system. Currently, the main application of tensor based morphometry involves using the jacobian determinants to examine the relative volumes of different structures.
Cerebral cortex, cortical surface, brain development, cortical thickness, brain growth, brain atrophy 2. Brainsuite is a collection of open source software tools that enable largely automated processing of magnetic resonance images mri of the human brain. The dataset is named usc tensor based morphometry versions 2. Antsxants the worlds leading software development platform. A reliable spatially normalized template of the human spinal cordapplications to automated white mattergray matter segmentation and tensor based morphometry tbm mapping of gray matter alterations occurring with age.
Exploratory assessments in collaboration with the image analysis center in amsterdam and university college london, stateoftheart analysis methods can be applied in order to assess exploratory endpoints. Tensor based morphometry and 3d longitudinal change maps tbm is an image analysis technique that measures brain structural differences from the gradients of deformation fields that align one image to another ashburner and friston, 2003, chung et al. Can anyone provide reference materials for deformation based. Dti processing voxelbased versus tractbased diffusion. Detecting brain growth patterns in normal children using tensor based morphometry xue hua,1 alex d. Contribution to speech development of the right anterior. Tensor based morphometry tbm performed using t1weighted images t1wis is a wellestablished method for analyzing local morphological changes occurring in the brain due to normal aging and disease. Generalized tensorbased morphometry of hivaids using multivariate statistics on strain matrices natasha lepore phd, caroline brun, yiyu chou.
Psychiatrists diagnose and treat mental illness, such as depression, anxiety. Tensor decomposition method is useful to capture the underlying structure of the analyzed data. Home features pricing made with slides slides for teams slides for developers. Computational morphometry for detecting changes in. In our previous study1, we suggested that the difference between tensor based metrics in the anterior part of the right putamen between 21 and 18 months age groups associated with speech development during this ages. Weihsun liao leow is a psychiatrist in chicago, illinois. We studied the developmental trajectory of the putamen in 21 months old children using multivariate surface tensor based morphometry. Tensorbased morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian determinant of the. Generalized tensorbased morphometry of hivaids using.
Tensorbased morphometry provided a more extensive and hypothesis. Brainsuite magnetic resonance image analysis tools. However, there are other features of the jacobian matrices that could be used, such as those representing elongation and contraction in different direc tions. Software tensor based morphometry for longitudinal change. The quick start guide to the multivariate tensor based subcortical morphometry system mtbm covers the fundamental usages. Voxel based morphometry analysis of dti data using the general linear model. Pdf tensorbased morphometry tbm studies encode the anatomical. In particular, these include improvements to tensor based morphometry, surface and volume registration, segmentation and statistics for group comparisons. Putamen development in children 12 to 21 months old. I believe that typically dbm, or tensorbased morphometry, estimates how much deformation is needed to make a brain fit into a. Khana, lei wangb, mirza faisal begc, adepartment of medical biophysics, robarts research institute, western university, london, ontario, canada bdepartment of psychiatry and behavioral sciences and radiology, northwestern university, feinberg school. Tensorbased morphometry predicts brain volume reductions in fetal alcohol.
To track brain changes, during brain development and disease, and in drug trials, we are developing powerful tensor based morphometry approaches to detect brain structure differences, using mathematics adapted from continuum mechanics, i. I would like to perform tensor based morphometry on childrens t1 images scanned longitudinally with one year in between scans age 78 in the first year. Magnetic resonance imaging and tensorbased morphometry in the. Tensorbased morphometry tbm uses jacobian determinant values obtained from the linear and nonlinear deformation fields required to match structures with similar intensity patterns of individual subjects to a population specific atlas. Detecting brain growth patterns in normal children using. Brain morphometry is a subfield of both morphometry and the brain sciences, concerned with the measurement of brain structures and changes thereof during development, aging, learning, disease and evolution. Elizabeth hutchinson is an assistant professor in the department of biomedical engineering at the university of arizona and leads the multiscale brain imaging lab, which uses preclinical imaging especially mri to better understand brain disorders and develop translationally relevant imaging markers. I would like to do crosssectional analyses for each year as well as a longitudinal analysis for the children participating in both years.
The method involves spatially normalizing the structural mr images of a number of subjects so that they all conform to the same. A series of reports have recently appeared using tensor based morphometry statisticallydefined regions of interest, statrois, to quantify longitudinal atrophy in structural mris from the. This means a set of subject names in which each subject has a time 1 t1 and time 2 t2 highresolution mri scan. Neuroimaging and brain mapping techniques offer extraordinary power to understand ad, providing spatially detailed information on the extent and trajectory of the.
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