QuantiDOPA: A quantification software for dopaminergic neurotransmission SPECT

Aida Niñerola Baizán, B. Marti, O. Esteban, X. Planes, A. F. Frangi, M. J. Ledesma-Carbayo, A. Santos, A. Cot, F. Lomeña, J. Pavia, D. Ros

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Quantification of neurotransmission Single-Photon Emission Computed Tomography (SPECT) studies of the dopaminergic system can be used to track, stage and facilitate early diagnosis of the disease. The aim of this study was to implement QuantiDOPA, a semi-automatic quantification software of application in clinical routine to reconstruct and quantify neurotransmission SPECT studies using radioligands which bind the dopamine transporter (DAT). To this end, a workflow oriented framework for the biomedical imaging (GIMIAS) was employed. QuantiDOPA allows the user to perform a semiautomatic quantification of striatal uptake by following three stages: reconstruction, normalization and quantification. QuantiDOPA is a useful tool for semi-automatic quantification inDAT SPECT imaging and it has revealed simple and flexible.

Original languageEnglish
Title of host publication13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013
PublisherSpringer-Verlag Italia
Pages443-446
Number of pages4
ISBN (Print)9783319008455
DOIs
Publication statusPublished - 2014
Event13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain
Duration: 25 Sept 201328 Sept 2013

Publication series

NameIFMBE Proceedings
Volume41
ISSN (Print)1680-0737

Conference

Conference13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Country/TerritorySpain
CitySeville
Period25/09/1328/09/13

Keywords

  • Dopaminergic system
  • GIMIAS
  • Parkinson's disease
  • Quantification
  • SPECT

Fingerprint

Dive into the research topics of 'QuantiDOPA: A quantification software for dopaminergic neurotransmission SPECT'. Together they form a unique fingerprint.

Cite this