CIMES - Unidad de Imagen Molecular

QModeling

En esta secci�n encontrar� informaci�n general acerca de la Unidad de Imagen Molecular del Centro de Investigaciones M�dico-Sanitarias, tales como una introducci�n al trabajo que se realiza en la Unidad, informaci�n de todo el personal que compone la Unidad, la informaci�n de contacto, la localizaci�n del Centro y algunas de las car�ter�sticas m�s destacables de la Unidad en cuando a la producci�n, investigaci�n y formaci�n.

Aqu� hallar� informaci�n acerca de las principales t�cnicas empleadas en la Unidad para el diagn�stico cl�nico as� como de algunos de los sofisticados equipamientos con los que se cuenta para ello. Adem�s, los pacientes tambi�n podr�n encontrar aqu� informaci�n bastante �til o respuesta a algunas de las preguntas m�s frecuentes.

En esta p�gina encontrar� todo lo referente a la investigaci�n que se lleva a cabo en la Unidad, desde los congresos a los que asisten los miembros de la Unidad hasta las publicaciones y proyectos de investigaci�n llevados a cabo por los distintos departamentos. Adem�s, podr� ver informaci�n acerca de algunas de las �reas de imagen molecular PET sobre las que se investigan y tener acceso directo a QModeling, software propio destinado al an�lisis farmacocin�tico de estudios PET din�micos.

En esta secci�n se describen todas las labores de formaci�n que la Unidad ha llevado a cabo en colaboraci�n con distintas organizaciones como la Universidad de M�laga o distintos hospitales de Espa�a.

QModeling

Investigaci�n/QModeling/Herramienta QModeling

QModeling is a multiplatform toolbox for SPM to fit reference-region kinetic models (SRTM, SRTM2, Patlak Reference and Logan Reference Plot are currently available in QModeling) to dynamic PET studies.

The toolbox was developed in the bioengineering department of the Molecular Imaging Unit at CIMES (FGUMA) in collaboration with the department of Computer Science and Programming Languages at Malaga University (UMA).

QModeling was developed by

Francisco Javier L�pez Gonz�lez (fj.lopez@fguma.es)

Jos� Paredes Pacheco (j.paredes@fguma.es)

Karl-Khader Thurnhofer Hemsi (karlkhader@lcc.uma.es).

With contributions of N�ria Ro� Vellv�, Carlos Rossi, Manuel Enciso, Daniel Toro-Flores and Antonio L. Guti�rrez Cardo

Questions can be referred to nroe@fguma.es.

How to reference QModeling

To cite QModeling in your work please include the following reference:

L�pez-Gonz�lez, F.J., Paredes-Pacheco, J., Thurnhofer-Hemsi, K. et al. (2018). QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis. Neuroinform. doi:10.1007/s12021-018-9384-y

Licence

QModeling is free but copyright software, distributed under the terms of the GNU General Public Licence as published by the Free Software Foundation (either version 3, as given below, or at your option, any later version).
For more details on "copyleft", see here.

Current Release: 1.9

Software requirements:

MATLAB*, mathworks.com
SPM 8 (or better), www.fil.ion.ucl.ac.uk/spm/software/spm8

*Tested on MATLAB R2012a-R2013b with SPM8 and MATLAB R2015a-R2017a with SPM12.

Registration form QModeling

Please, complete the following registration form to download QModeling. You will receive an email with the downloading details.

*Mandatory fields.

The Fundaci�n General de la Universidad de M�laga, responsible for this database, in accordance with the Personal Data Protection Act, Article 5 15/1999, 13 December, informs that:

The data provided will be duly registered with the Spanish Agency for the Protection of Data, whose purpose is to send information that may be of interest to the user, related to activities provided by the Fundaci�n (courses and events).

We likewise inform you that your data will be accessible to the University of M�laga as well as other public administrations/establishments that deem it necessary in order to fulfill the obligations of the Fundaci�n General de la Universidad de M�laga.

According to the Personal Data Protection Act, the user has the right to obtain information on his/her personal data, modify data or cancelling the subscription, via a written request with proof of identity to The Fundaci�n General de la Universidad de M�laga, Avda. De la Estaci�n de El Palo 4, 29017 M�laga.

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