Tensor based morphometry software programs

Tensor based morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian determinant of the deformation matrix. Command line programs for cortical surface extraction and diffusion processing are also provided. Morphometry wellcome trust centre for neuroimaging. Voxel based morphometry analysis of dti data using ttests. 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.

Voxelbased morphometry and diffusion tensor imaging of. International consortium for brain mapping using the animal software program collins et al. Pattern based morphometry pbm is a method of brain morphometry first put forth in pbm. Tensor based morphometry tbm studies encode the anatomical information in spatial deformations which are locally characterized by jacobian matrices. Effects of cognitive rehabilitation on structural and functional mr imaging measuresan explorative study. Combining thickness information with surface tensorbased. Association of cerebrospinal fluid neurofilament light concentration with alzheimer disease progression.

Quantitative medical imaging national institute of. This can be attributed in part to the fact that in the past every imaging center developed its own analysis tools. Hivassociated alterations in normalappearing white. Tela is a software package similar to matlab and gnu octave, but designed specifically for tensors. The method involves spatially normalizing the structural mr images of a number of subjects so that they all conform to the same. Matrices in tensorbased morphometry and their application to hivaids. Deformation based morphometry dbm is a method for identifying macroscopic anatomical di erences among the brains of di erent populations of subjects. Tensor based morphometry provided a more extensive and hypothesis free assessment of widespread changes caused by the toxin insult to the brain, especially highlighting regional cortical atrophy. One of the most objective methods is magnetic resonance imaging mri. Updated tensorbased morphometry data available adni. In this paper, we introduce theories and algorithms in con. Statistical analyses were performed using a software program spss, version 20.

Thompson phd, natasha lepor e phd3 1 school of computing, informatics, and decision systems engineering, arizona state university, tempe, az 85281, usa 2 dept of radiology, childrens hospital. 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 of medicine, chicago, il. Application to mapping ventricular abnormalities in hivaids article in neuroimage 493. Theory and implementation, ieee conference on computer vision and pattern recognition, 2007 igor yanovsky, stanley osher, paul thompson, alex leow, logunbiased largedeformation image registration, computer vision theory and applications.

Sex differences in brain structure in auditory and. Tensorbased morphometry tbm each 3d wholebrain image including gray and white matter, and csf was then nonlinearly aligned to an anatomical template, based on an arbitrarily selected control subject in the standard icbm space. See the complete profile on linkedin and discover revas. Shape analysis with multivariate tensorbased morphometry and holomorphic differentials. Voxelbased morphometry vbm and tensorbased morphometry tbm both rely on spatial normali zation to a. The purpose of this study was to assess the optic pathway in poag by using vbm and dti. Voxel based morphometry analysis of dti data using the general linear model. It provides many functions relevant for general relativity calculations in. Martinos center for biomedical imaging, department of. Pdf tensorbased morphometry tbm studies encode the anatomical. Surface multivariate tensorbased morphometry on premature neonates. Medical image computing and computerassisted intervention. Generalized tensorbased morphometry for the analysis of.

Brain structure changes visualized in early and late. Department of pathology, university of pittsburgh, school of medicine, pittsburgh, pennsylvania. Hypoplasia of cerebellar afferent networks in down. We also want to emphasize in this work intrinsic shape measures of brain structures rather than shapes inferred by registration based methods such as voxel based, tensor based, and deformation based morphometry that rely on a reference or canonical template and are sensitive to errors in registration. Dbm is based on the application of non linear registration procedures to spatially normalise one brain to another one. 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. Tensorbased morphometry is an image analysis technique that measures brain structural differences from the gradients of deformation fields that align one image to another. Altered brain morphometry in carpal tunnel syndrome is associated with median nerve pathology. Thompson2, yalin wang1 1school of computing, informatics and decision systems engineering, asu, tempe, az 85281, usa 2lab. Automated segmentation and morphometry of cell and. Morphometrics with spm12 john ashburner wellcome trust centre for neuroimaging, 12 queen square, london, uk. Unified voxel and tensorbased morphometry uvtbm using.

Individual jacobian maps were created to estimate threedimensional patterns of structural brain change over time fig. Longitudinal stability of mri for mapping brain change. Morphometry wellcome centre for human neuroimaging. Mdt template was manually parcellated using the brainsuite software program. Mri morphometry of the brain and neurological diseases. In neuroimaging, tensorbased morphometry tbm is a method usually used to localise regional volumetric differences among populations of subjects brain mris. Unlike other diffusion tensor imaging dti based white matter connectivity studies. Neuropathologic studies in experimental and human glaucoma have demonstrated degenerative changes in the optic pathway. The diagnosis of diseases of the brain is based on additional methods, confirming the clinical diagnosis. Partial volume effects in atrophied areas should be taken into account when interpreting brain perfusion single photon emission computed tomography spect images of neurodegenerative diseases. Diffusion tensor imaging and voxel based morphometry reveal corticospinal tract involvement in the motor dysfunction of adultonset myotonic dystrophy type 1. To this end, we applied tensor based morphometry 12 to define the regional distribution of longitudinal changes in gray matter gm and white matter wm volumes. Prior to running tbm in brainsuite statistics toolbox bss, cortical surface extraction and surfacevolume registration need to be run on your subject data.

Tensor is a tensor package written for the mathematica system. Longitudinal stability of mri for mapping brain change using tensorbased morphometry article in neuroimage 312. Tensorbased morphometry with stationary velocity field. Csf neurofilament light concentration and alzheimer. Ever wonder how the magical world of programs can be used to find hippocampal volume. Multivariate tensor based morphometry for brain imaging analysis showcase. Automated segmentation and morphometry of cell and tissue structures. Tensorbased morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian determinant of the deformation matrix. Pbm is based on the application of sparse dictionary learning to morphometry. Program nitp course, chaired by russ poldrack, which also provides handson training in experimental. To examine associations of regional brain tissue excessesdeficits with degree of prenatal alcohol exposure and diagnosis with and without correction for overall brain volume, tensorbased morphometry tbm methods were applied to structural imaging data from a wellcharacterized, demographically homogeneous sample of children diagnosed with fasd.

The dataset is named usc tensor based morphometry versions 2. Tensorbased morphometry tbm studies anatomical differences between brain. The brainsuite software is distributed as a gui for windows, macintosh os x, and linux platforms. We present a novel computational framework for investigating the white matter connectivity using tbm. Tensor based morphometry tbm 7, 4 tends to examine spatial derivatives of the deformation maps registering brains to common template, constructing morpho. We sought to address these conflicting reports by assessing, on a voxelbyvoxel basis, hivassociated regional changes in radiologically defined normalappearing white matter nawm integrity using highresolution dti. 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. Igor yanovsky, paul thompson, stanley osher, alex leow, topology preserving logunbiased nonlinear image registration. Tensor based morphometry data generated by the thompson lab loni is available from the download section of the adni archive. 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. Tensorbased morphometry tbm is an analysis technique where.

Current methods perform voxelwise statistical analysis on some features, such as the jacobian determinant or the cauchygreen deformation tensor, which are not complete descriptors of the local deformation. N lepore generalized tensor based morphometry for the analysis of brain mri and diffusion tensor images 23 abstracts of talks week ii. The related software for surfacevolume registration svreg is provided as a collection of commandline programs callable from brainsuites gui, while the brainsuite diffusion pipeline bdp is a commandline only program. View reva stidd, ms, mbas profile on linkedin, the worlds largest professional community. Brain structure and obesity university of southern. Mean template for tensorbased morphometry using deformation. To evaluate both perfusion and atrophy using brain spect alone, we developed a new technique applying tensor based morphometry tbm to spect. We applied tensor based morphometry tbm, a relatively novel method hua et al. Mri morphometry in alzheimers disease sciencedirect. Altered brain morphometry in carpal tunnel syndrome is. Tensorbased morphometry tbm is introduced as a method of identifying re.

The related software for surfacevolume registration svreg is provided as a collection of commandline programs callable from brainsuites gui, while the brainsuite diffusion pipeline bdp is a command. A pilot study yalin wang phd 1, ashok panigrahy md 2. In 2009 ieee 12th international conference on computer vision, iccv 2009 pp. Tensorbased morphometry tbm is a neuroimaging method to assess regional differences in brain structure based on the jacobian. Using tensor based morphometry, we map volume reductions and gains in 16 earlyonset eb and 16 lateonset lb blind adults onset 14 years old, respectively relative to 16 matched sighted controls. A detailed quantitative evaluation became possible after the introduction of mri voxel. It provides many functions relevant for general relativity calculations in general riemanncartan geometries. There are conflicting reports of adverse hivassociated alterations in white matter integrity as measured by diffusion tensor imaging dti. We examine 3d patterns of volume differences in the brain associated with blindness, in subjects grouped according to early and late onset. The tensor based morphometry tbm has been widely used in characterizing tissue volume difference between populations at voxel level. To this end, we applied tensor based morphometry 12 to define the regional. In order to run, the necessary matlab libraries must be instaled prior to their use. The results highlight the importance of developing imaging biomarkers of pd in nonhuman primate models considering their distinct neuroanatomy.

Evaluation of both perfusion and atrophy in multiple. Applied neurobiological imaging data processing archives. Pdf multivariate tensorbased morphometry with a rightinvariant. For the application to group studies, we are interested in the. The section on quantitative medical imaging develops methods to derive biomarkers from data acquired by noninvasive imaging techniques such as magnetic resonance imaging, mri that are informative about anatomy and physiology and that provide new, accurate and reliable tools for assessment of various medical conditions.

Shape analysis with multivariate tensorbased morphometry. Morse e, joseph audette f, vitaly napadow a,b a athinoula a. Multiatlas tensorbased morphometry and its application to a. We used dtidriven tensor based morphometry dtbm, a novel technique that extracts morphometric information from diffusion data, to investigate brain anatomy in.

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