Design and development of a novel pipeline for resting-state functional magnetic resonance imaging processing

Pautasso, Juan José (2019). Design and development of a novel pipeline for resting-state functional magnetic resonance imaging processing. Thesis (Master thesis), E.T.S.I. Telecomunicación (UPM).

Description

Title: Design and development of a novel pipeline for resting-state functional magnetic resonance imaging processing
Author/s:
  • Pautasso, Juan José
Contributor/s:
  • Bueno Zamora, Héctor José
  • Sánchez González, Patricia
  • Marcos Vidal, Luis
Item Type: Thesis (Master thesis)
Masters title: Ingeniería Biomédica
Date: July 2019
Subjects:
Freetext Keywords: Functional connectivity; Resting state; Processing; Magnetic Resonance Imagin; Pipeline; fMRI; Functional magnetic resonance
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: None

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Abstract

Several processing steps are required prior to any type of analysis of Restingstate functional Magnetic Resonance Imaging (R-fMRI). This preprocessing is necessary to remove signal of no interest from the R-fMRI images; such as signals coming from movements of the subject inside the scanner, heartbeats, breathing or others. The preprocessing of fMRI data consists of several steps, and multiple softwares are available for each of them. Moreover, an optimal preprocessing of R-fMRI images requires several steps combining multiple softwares, which is highly time-consuming, expensive and inefficient if done manually for each case. In addition, it is necessary to perform image processing to obtain functional connectivity matrices between different regions of the brain. Therefore, the objective of the present work is to develop a pipeline that automatically performs the preprocessing and processing of R-fMRI data in the combination of software tools with the best performance for each processing instance. For this, it will be necessary to understand the different steps of the preprocessing and their associated functions, and managing the input and output files for each one of these functions in the most efficient way.

More information

Item ID: 62608
DC Identifier: http://oa.upm.es/62608/
OAI Identifier: oai:oa.upm.es:62608
Deposited by: Msc Juan José Pautasso
Deposited on: 20 May 2020 06:23
Last Modified: 20 May 2020 06:23
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