DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data

Ortuño Fisac, Juan Enrique and Ledesma Carbayo, María Jesús and Simões, Rui V. and Candiota, Ana Paula and Arús, Carles and Santos Lleo, Andres de (2013). DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data. "BMC Bioinformatics", v. 14 ; pp. 1-17. ISSN 1471-2105. https://doi.org/10.1186/1471-2105-14-316.

Description

Title: DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data
Author/s:
  • Ortuño Fisac, Juan Enrique
  • Ledesma Carbayo, María Jesús
  • Simões, Rui V.
  • Candiota, Ana Paula
  • Arús, Carles
  • Santos Lleo, Andres de
Item Type: Article
Título de Revista/Publicación: BMC Bioinformatics
Date: 2013
ISSN: 1471-2105
Volume: 14
Subjects:
Freetext Keywords: DCE-MRI; Imaging; Levenberg-Marquardt; Fitting; Preclinical; Pharmacokinetics; Animal models; High field MR; IDL
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB)

Abstract

Background DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. Results Pixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE@urLAB also includes the semi-quantitative parametric and heuristic analysis approaches commonly used in practice. This software application has been programmed in the Interactive Data Language (IDL) and tested both with publicly available simulated data and preclinical studies from tumor-bearing mouse brains. Conclusions A user-friendly solution for applying pharmacokinetic and non-quantitative analysis DCE-MRI in preclinical studies has been implemented and tested. The proposed tool has been specially designed for easy selection of multi-pixel ROIs. A public release of DCE@urLAB, together with the open source code and sample datasets, is available at http://www.die.upm.es/im/archives/DCEurLAB/ webcite.

More information

Item ID: 28901
DC Identifier: http://oa.upm.es/28901/
OAI Identifier: oai:oa.upm.es:28901
DOI: 10.1186/1471-2105-14-316
Official URL: http://www.biomedcentral.com/1471-2105/14/316
Deposited by: Memoria Investigacion
Deposited on: 07 Jun 2014 12:39
Last Modified: 22 Sep 2014 11:43
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM