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A fast and robust software implementation of the popular Nonlocal Means for MRI-Rician denoising. It works by computing the non-local weights based on distances in a features space comprising the local mean value and gradients of the image. It can reach an acceleration factor of 20x over the original implementation, with an improved performance for medium-low SNR images. They use a bias correction step for Rician noise based on the well-known Conventional Approach. This software can be compiled either as a Slicer module or a stand-alone: http://www.nitrc.org/snapshots.php?group_id=518

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• SciCrunch
• 13 years ago - by Anonymous

Software framework which uses an unscented Kalman filter for performing tractography. At each point on the fiber the most consistent direction is found as a mixture of previous estimates and of the local model. It is very easy to expand the framework and to implement new fiber representations for it. Currently it is possible to tract fibers using two different 1-, 2-, or 3-tensor methods. Both methods use a mixture of Gaussian tensors. One limits the diffusion ellipsoids to a cylindrical shape (the second and third eigenvalue are assumed to be identical) and the other one uses a full tensor representation. The project is written in C++. It could be used both as a Slicer3 module and as a standalone commandline application.

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• SciCrunch
• 13 years ago - by Anonymous

Software package containing functions for allele-specific gene expression (ASE) analysis using meta-analysis based allele-specific expression detection.

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• SciCrunch
• 12 years ago - by Anonymous

Segmentation tool that uses image analysis and machine learning techniques (Support Vector Machines). Image intensities from multiple MR acquisition protocols, after coregistration, are used to form a voxel-wise attribute vector which is used to perform the segmentation. Computer algorithms have started to complement expert-readings of MRI as they may improve throughput and consistency, in addition to providing more accurate quantitative measures of lesion type and volume. Computerized segmentation methods can also offer more precise measurements of longitudinal change of a lesion with disease progression or treatment response.

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• SciCrunch
• 13 years ago - by Anonymous

Software tool for performing a per vertex statistical analysis across a population. The underlying statistical framework uses the R language.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13,2026. Software program for multi-dimensional CSI data visualization, spectral processing, localization, quantification and multi-variate analysis.

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• SciCrunch
• 13 years ago - by Anonymous

A question answer forum for scientists, focusing on methods in bioinformatics, computational genomics and biological data analysis. They welcome detailed and specific posts, written clearly and simply.

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• SciCrunch
• 13 years ago - by Anonymous

Provides series of modules which enable functions of Vascular Modeling Toolkit in 3D Slicer. Functionality includes vessel enhancement filtering, level set segmentation, centerline computation, network extraction and branch splitting.VMTK is available through the extension manager for 3D Slicer from version 4.6.2. Main difference to Slicer3 version is that now all VMTK modules come as one extension bundle. This should enhance the installation experience for users.

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• SciCrunch
• 13 years ago - by Anonymous

shapeAnalysisMANCOVA offers statistical shape analysis based on a parametric boundary description (SPHARM) as the point-based model computing method. The point-based models will be analyzed with the methods here proposed using multivariate analysis of covariance (MANCOVA). Here, the number of variates being tested is the dimensionality of our observations. Each point of these observations is a three dimensional displacement vector from the mean. The number of contrasts is the number of equations involved in the null-hypothesis. In order to encompass varying numbers of variates and contrasts, and to account for independent variables, a matrix computation is performed. This matrix represents the multidimensional aspects of the correlation significance and it can be transformed into a scalar measure by manipulation of its eigenvalues. Details of the methods can be found in its Insight Journal publication: http://hdl.handle.net/10380/3124

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• SciCrunch
• 13 years ago - by Anonymous

scikit-learn: machine learning in Python

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• SciCrunch
• 13 years ago - by Anonymous

Genetic maps for 94 inbred strains of mouse and imputed genotypes using the NIEHS / Perlegen resequencing resource. Combining with the 13,094 Wellcome Trust SNPs (Single-nucleotide polymorphisms), a set of 132,285 SNPs was compiled and is available for download. Using the mouse HapMap resource, it is possible to accurately impute the genotypes of the 94 strains at the 8 million SNPs discovered by the NIEHS/Perlegen mouse resequencing project. They imputed the genotypes at the NIEHS/Perlegen SNPs from the mouse HapMap SNPs and an additional set of 7,570 gap-filling SNPs provided by NIEHS/Perlegen. Since each NIEHS/Perlegen SNP probe has different quality, they classified roughly half of the SNPs as "high-quality" SNPs, which do not have missing genotype at any of the 15 resequenced strains. The imputed genotypes are available for the high-quality SNPs, which has estimated error rate of 0.27% for high-confidence imputed genotypes. In addition, the imputed genotypes for all 8 million SNPs are also available for download. Their estimated error rate is 0.37% for high-confidence imputed genotypes.

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• SciCrunch
• 17 years ago - by Anonymous

Public university in Barcelona, Spain that offers degree programs in social sciences, engineering, and arts and humanities.

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• 17 years ago - submitted by Eddy Kim

Software Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or python scripts to process the data.

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• SciCrunch
• 13 years ago - by Anonymous

Software Python package for working with DICOM files, made for inspecting and modifying DICOM data in an easy pythonic way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.

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• SciCrunch
• 13 years ago - by Anonymous

Software toolbox for statistical image clustering, peak detection and data extraction developed to allow the user to have flexibility of clustering their data. Based on your threshold, it will cluster your data and find the peaks within each cluster. Additionally, it has been combined with a data extraction tool that allows one to extract the data from all the scans of the analysis from all the clusters, along with several other extraction options, with a single command.

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• SciCrunch
• 13 years ago - by Anonymous

Data management software that provides an extensive metadata hierarchy for describing and documenting research and clinical studies. The schema organizes information into five general hierarchical levels: a complete project, studies within a project, subjects involved in the studies, visits for each of the subjects, the full description of the subject's participation during each visit.

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• SciCrunch
• 13 years ago - by Anonymous

Symmetric atlas of the primate brain created using 18 cases of rhesus macaques aged 16-34 months. It includes the T1-weighted image (with and without skull), and also tissue segmentation probability maps (white matter, gray matter, CSF, rest), subcortical structures segmentation (amygdala, caudate, hippocampus, pallidus, putamen), and a lobar parcellation map. You can find more details about the creation of this atlas in the following paper : M. Styner, R. Knickmeyer, S. Joshi, C. Coe, S. J. Short, and J. Gilmore. Automatic brain segmentation in rhesus monkeys. In Proc SPIE Vol 6512, Medical Imaging, 2007, pp. 65122 L1-8

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• SciCrunch
• 13 years ago - by Anonymous

3 atlases dedicated for neonates, 1-year-olds, and 2-year-olds. Each atlas comprises a set of 3D images made up of the intensity model, tissue probability maps, and anatomical parcellation map. These atlases are constructed with the help of state-of-the-art infant MR segmentation and groupwise registration methods, on a set of longitudinal images acquired from 95 normal infants (56 males and 39 females) at neonate, 1-year-old, and 2-year-old.

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• SciCrunch
• 13 years ago - by Anonymous

A 3D stereoscopic (anaglyph method) full brain functional connectivity atlas created using a parcellation atlas published by Craddock et al. (2012). Using 3D Slicer 3.6.3 and the two hundred Region of Interest (ROI) version of the Craddock atlas, 200 grayscale surface models were created using a z-stat threshold > 2.3, and each surface model was processed with a surface decimation algorithm, smoothed with the Taubin algorithm and without surface normals. For improved visualization of the functional connectivity networks and their relative anatomical position, the surface model of five subcortical anatomical structures (corpus callosum, bilateral caudate, pallidum, putamen, thalamus, amygdala and hippocampus) were included in SAIBN. These surfaces were created with 3D Slicer using the segmentation computed with Freesurfer v. 5.1. The viewer should use red-cyan glasses to see the 3D stereoscopic effect using 3D Slicer (version 3.6.3, http://www.slicer.org/pages/Special:SlicerDownloads).

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• SciCrunch
• 13 years ago - by Anonymous

Software simulator for a targeted resequencing generally known as exome sequencing. Wessim generates a set of artificial DNA fragments for next generation sequencing (NGS) read simulation.

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• SciCrunch
• 13 years ago - by Anonymous