# name
Pipeline for pre-processing and processing of diffusion-weighted images with single phase-encoding

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Biomèdica. Facultat de Medicina i Ciències de la Salut. Universitat de Barcelona. Curs: 2023-2024. Tutor/Director: Roser Sala Llonch ; Director: Gemma Monté Rubio

# metadata.dc.description.abstract[].value
Diffusion-weighted magnetic resonance imaging (DWI) captures the movement of water molecules
in brain tissue, which is particularly useful for characterizing white matter, where diffusion is mostly
anisotropic due to axonal myelination. To fully determine its structure, diffusion tensor imaging (DTI)
can be computed, from which fractional anisotropy (FA) maps are extracted, indicating the directionality
of water molecule diffusion. Additionally, tractographies, which approximate white matter
tracts, are useful for understanding the brain’s structural integrity. DWI data tends to be highly distorted
due to its acquisition method, making pre-processing extremely important. Although many
pre-processing software and pipelines focus on opposite-phase encoding acquisitions, single-phase
acquisitions are often neglected. This study aims to address these single-phase sequences to determine
the best pipeline for image correction and the subsequent extraction of FA maps and tractographies,
utilizing FSL, MRtrix, and DIPY. To test the developed pipelines, the analysis of a sample
of 75 subjects, including patients with chronic HIV and controls, will be performed, to identify any
significant differences between the two groups.

# metadata.dc.rights[].value
cc-by-nc-nd (c) autor Ariadna Izquierdo Gómez, 2024

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Biomèdica

# metadata.dc.title[].value
Pipeline for pre-processing and processing of diffusion-weighted images with single phase-encoding