Literature DB >> 19346025

STAMPS: Software Tool for Automated MRI Post-processing on a supercomputer.

Don C Bigler1, Yaman Aksu, David J Miller, Qing X Yang.   

Abstract

This paper describes a Software Tool for Automated MRI Post-processing (STAMP) of multiple types of brain MRIs on a workstation and for parallel processing on a supercomputer (STAMPS). This software tool enables the automation of nonlinear registration for a large image set and for multiple MR image types. The tool uses standard brain MRI post-processing tools (such as SPM, FSL, and HAMMER) for multiple MR image types in a pipeline fashion. It also contains novel MRI post-processing features. The STAMP image outputs can be used to perform brain analysis using Statistical Parametric Mapping (SPM) or single-/multi-image modality brain analysis using Support Vector Machines (SVMs). Since STAMPS is PBS-based, the supercomputer may be a multi-node computer cluster or one of the latest multi-core computers.

Entities:  

Mesh:

Year:  2009        PMID: 19346025      PMCID: PMC2723052          DOI: 10.1016/j.cmpb.2009.02.006

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  11 in total

1.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.

Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  A global optimisation method for robust affine registration of brain images.

Authors:  M Jenkinson; S Smith
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

3.  Very high-resolution morphometry using mass-preserving deformations and HAMMER elastic registration.

Authors:  Dinggang Shen; Christos Davatzikos
Journal:  Neuroimage       Date:  2003-01       Impact factor: 6.556

4.  High-dimensional spatial normalization of diffusion tensor images improves the detection of white matter differences: an example study using amyotrophic lateral sclerosis.

Authors:  Hui Zhang; Brian B Avants; Paul A Yushkevich; John H Woo; Sumei Wang; Leo F McCluskey; Lauren B Elman; Elias R Melhem; James C Gee
Journal:  IEEE Trans Med Imaging       Date:  2007-11       Impact factor: 10.048

5.  An image-processing system for qualitative and quantitative volumetric analysis of brain images.

Authors:  A F Goldszal; C Davatzikos; D L Pham; M X Yan; R N Bryan; S M Resnick
Journal:  J Comput Assist Tomogr       Date:  1998 Sep-Oct       Impact factor: 1.826

6.  Mapping image data to stereotaxic spaces: applications to brain mapping.

Authors:  C Davatzikos
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

7.  Image matching as a diffusion process: an analogy with Maxwell's demons.

Authors:  J P Thirion
Journal:  Med Image Anal       Date:  1998-09       Impact factor: 8.545

8.  Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy.

Authors:  C Davatzikos; A Genc; D Xu; S M Resnick
Journal:  Neuroimage       Date:  2001-12       Impact factor: 6.556

9.  Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults.

Authors:  Daniel S Marcus; Tracy H Wang; Jamie Parker; John G Csernansky; John C Morris; Randy L Buckner
Journal:  J Cogn Neurosci       Date:  2007-09       Impact factor: 3.225

Review 10.  Fast robust automated brain extraction.

Authors:  Stephen M Smith
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

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  1 in total

1.  RayPlus: a Web-Based Platform for Medical Image Processing.

Authors:  Rong Yuan; Ming Luo; Zhi Sun; Shuyue Shi; Peng Xiao; Qingguo Xie
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

  1 in total

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