Name
Title | ||
|---|---|---|
The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. |
Abstract | ||
|---|---|---|
Non-invasive neuroimaging techniques enable extraordinarily sensitive and specific in vivo study of the structure, functional
response and connectivity of biological mechanisms. With these advanced methods comes a heavy reliance on computer-based processing,
analysis and interpretation. While the neuroimaging community has produced many excellent academic and commercial tool packages,
new tools are often required to interpret new modalities and paradigms. Developing custom tools and ensuring interoperability
with existing tools is a significant hurdle. To address these limitations, we present a new framework for algorithm development
that implicitly ensures tool interoperability, generates graphical user interfaces, provides advanced batch processing tools,
and, most importantly, requires minimal additional programming or computational overhead. Java-based rapid prototyping with
this system is an efficient and practical approach to evaluate new algorithms since the proposed system ensures that rapidly
constructed prototypes are actually fully-functional processing modules with support for multiple GUI’s, a broad range of
file formats, and distributed computation. Herein, we demonstrate MRI image processing with the proposed system for cortical
surface extraction in large cross-sectional cohorts, provide a system for fully automated diffusion tensor image analysis,
and illustrate how the system can be used as a simulation framework for the development of a new image analysis method. The
system is released as open source under the Lesser GNU Public License (LGPL) through the Neuroimaging Informatics Tools and
Resources Clearinghouse (NITRC). |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s12021-009-9061-2 | Neuroinformatics |
Keywords | Field | DocType |
image processing,structure function,image analysis,systems integration,batch process,publishing,distributed computing,algorithms,parallel processing,graphic user interface,cross section,brain mapping,magnetic resonance imaging | File format,Interoperability,Computer science,Image processing,Software,Graphical user interface,Artificial intelligence,Java,Health informatics tools,Machine learning,System integration | Journal |
Volume | Issue | ISSN |
8 | 1 | 1559-0089 |
Citations | PageRank | References |
37 | 2.13 | 18 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Blake C. Lucas | 1 | 52 | 5.50 |
| John A. Bogovic | 2 | 212 | 15.33 |
| Aaron Carass | 3 | 383 | 43.15 |
| Pierre-Louis Bazin | 4 | 611 | 42.52 |
| Jerry L. Prince | 5 | 4990 | 488.42 |
| Dzung L. Pham | 6 | 1410 | 132.80 |
| Bennett A. Landman | 7 | 700 | 74.20 |