Saturn: A software application of tensor utilities for research in neuroimaging

被引:5
作者
Cardenes, Ruben [1 ]
Munoz-Moreno, Emma [1 ]
Tristan-Vega, Antonio [1 ]
Martin-Fernandez, Marcos [1 ]
机构
[1] Univ Valladolid, Lab Image Proc, E-47011 Valladolid, Spain
关键词
DTI; Tractography; Quantification; Visualization; Medical image analysis; Neurological diseases; DIFFUSION; CONNECTIVITY;
D O I
10.1016/j.cmpb.2009.09.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present an advanced software tool designed for visualization and quantitative analysis of Diffusion Tensor Imaging (DTI) called Saturn. The software is specially developed to help clinicians and researchers in neuroimaging, and includes a complete set of visualization capabilities to browse and analyze efficiently DTI data, making this application a powerful tool also for diagnosis purposes. The software includes a robust quantification method for DTI data, using an atlas-based method to automatically obtain equivalent anatomical fiber bundles and regions of interest among different DTI data sets. Consequently, a set of measurements is also implemented to perform robust group studies among subjects affected by neurological disorders and control groups in order to look for significant differences. Finally, a comparison study with five similar DTI applications is presented, showing the advantages offered by this tool. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:264 / 279
页数:16
相关论文
共 34 条
[1]  
[Anonymous], 2004, The visualization toolkit: an object-oriented approach to 3D graphics
[2]  
[Anonymous], 2005, The ITK Software Guide
[3]  
Basser PJ, 2000, MAGNET RESON MED, V44, P625, DOI 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO
[4]  
2-O
[5]  
Basser PJ, 1996, J MAGN RESON SER B, V111, P209, DOI [10.1006/jmrb.1996.0086, 10.1016/j.jmr.2011.09.022]
[6]   Characterization and propagation of uncertainty in diffusion-weighted MR imaging [J].
Behrens, TEJ ;
Woolrich, MW ;
Jenkinson, M ;
Johansen-Berg, H ;
Nunes, RG ;
Clare, S ;
Matthews, PM ;
Brady, JM ;
Smith, SM .
MAGNETIC RESONANCE IN MEDICINE, 2003, 50 (05) :1077-1088
[7]   HIGH-RESOLUTION Q-SPACE IMAGING IN POROUS STRUCTURES [J].
CALLAGHAN, PT ;
MACGOWAN, D ;
PACKER, KJ ;
ZELAYA, FO .
JOURNAL OF MAGNETIC RESONANCE, 1990, 90 (01) :177-182
[8]  
Cárdenes R, 2009, LECT NOTES COMPUT SC, V5761, P903, DOI 10.1007/978-3-642-04268-3_111
[9]   Animal: Validation and applications of nonlinear registration-based segmentation [J].
Collins, DL ;
Evans, AC .
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1997, 11 (08) :1271-1294
[10]  
Fillard P., 2006, SIM TENS WORKSH LAS