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

被引：2

作者：

Bigler, Don C. ^{[1
,2
]}

Aksu, Yaman ^{[3
]}

Miller, David J. ^{[3
]}

Yang, Qing X. ^{[1
,2
,4
]}

机构：

[1] Penn State Coll Med, Dept Radiol, Ctr NMR Res, Hershey, PA USA

[2] Penn State Univ, Dept Bioengn, Hershey, PA USA

[3] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA

[4] Penn State Coll Med, Dept Neurosurg, Hershey, PA USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2009年 / 95卷 / 02期

关键词：

Nonlinear image registration; PBS; Cluster; Supercomputer; MRI; Image processing; ELASTIC REGISTRATION; BRAIN IMAGES; HAMMER;

D O I：

10.1016/j.cmpb.2009.02.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (c) 2009 Elsevier Ireland Ltd. All rights reserved.

引用

页码：146 / 157

页数：12

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