| pubmed-article:17174003 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17174003 | lifeskim:mentions | umls-concept:C1710082 | lld:lifeskim |
| pubmed-article:17174003 | lifeskim:mentions | umls-concept:C0024487 | lld:lifeskim |
| pubmed-article:17174003 | lifeskim:mentions | umls-concept:C1709694 | lld:lifeskim |
| pubmed-article:17174003 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:17174003 | pubmed:dateCreated | 2007-1-22 | lld:pubmed |
| pubmed-article:17174003 | pubmed:abstractText | Magnetic resonance spectroscopy (MRS) can be used to determine in a non-invasive way the concentrations of certain chemical substances, also called metabolites. The spectra of MRS signals contain peaks that correspond to the metabolites of interest. Short-echo-time signals are characterized by heavily overlapping metabolite peaks and require sophisticated processing methods. To be useful in a clinical environment tools are needed that can process those signals in an accurate and fast way. Therefore, we developed novel processing methods and we designed a freely available and open-source framework (http://www.esat.kuleuven.ac.be/sista/members/biomed) in which the processing methods can be integrated. The framework has a set of abstract classes, called hot spots, and its goal is to provide a general structure and determine the control flow of the program. It provides building blocks or components in order to help developers with integrating their methods in the framework via a plug-in system. The framework is designed with the unified modeling language (UML) and implemented in Java. When a developer implements the framework he gets an application that acts like a simple and user-friendly graphical user interface (GUI) for processing MRS data. This article describes in detail the structure and implementation of the framework and the integration of our processing methods in it. | lld:pubmed |
| pubmed-article:17174003 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17174003 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17174003 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17174003 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17174003 | pubmed:month | Feb | lld:pubmed |
| pubmed-article:17174003 | pubmed:issn | 0169-2607 | lld:pubmed |
| pubmed-article:17174003 | pubmed:author | pubmed-author:PENGS YSY | lld:pubmed |
| pubmed-article:17174003 | pubmed:author | pubmed-author:VanhammeLL | lld:pubmed |
| pubmed-article:17174003 | pubmed:author | pubmed-author:Van HuffelSS | lld:pubmed |
| pubmed-article:17174003 | pubmed:author | pubmed-author:LemmerlingPP | lld:pubmed |
| pubmed-article:17174003 | pubmed:author | pubmed-author:De NeuterBB | lld:pubmed |
| pubmed-article:17174003 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17174003 | pubmed:volume | 85 | lld:pubmed |
| pubmed-article:17174003 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17174003 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17174003 | pubmed:pagination | 129-37 | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:meshHeading | pubmed-meshheading:17174003... | lld:pubmed |
| pubmed-article:17174003 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17174003 | pubmed:articleTitle | Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. | lld:pubmed |
| pubmed-article:17174003 | pubmed:affiliation | Katholieke Universiteit Leuven, Department Electrical Engineering, ESAT-SCD, Belgium. | lld:pubmed |
| pubmed-article:17174003 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17174003 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
