Per citar aquest document: http://ddd.uab.cat/record/125678
DCE@urLAB : a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data
Ortuño, Juan E. (CIBER de Bioingeniería, Biomateriales y Nanomedicina (Saragosssa, Aragó))
Ledesma Carbayo, María J. (Universidad Politécnica de Madrid. Departamento de Ingeniería Electrónica)
Simões, Rui V. (Universitat de Barcelona)
Candiota Silveira, Ana Paula (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Santos, Andrés (CIBER de Bioingeniería, Biomateriales y Nanomedicina (Saragosssa, Aragó))

Data: 2013
Resum: 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/.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Matèria: DCE-MRI ; Imaging ; Levenberg-Marquardt ; Fitting ; Preclinical ; Pharmacokinetics ; Animal models ; High field MR ; IDL
Publicat a: BMC Bioinformatics, Vol. 14, N. 316 (November 2013) , p. 1-17, ISSN 1471-2105

DOI: 10.1186/1471-2105-14-316


17 p, 2.5 MB

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