Brain perfusion imaging by multi‐delay arterial spin labeling: Impact of modeling dispersion and interaction with denoising strategies and pathology

Pires Monteiro, Sara; Pinto, Joana; Chappell, Michael A.; Fouto, Ana; Baptista, Miguel V.; Vilela, Pedro; Figueiredo, Patricia

doi:10.1002/mrm.29783

All Outputs (4)

Recommendations for quantitative cerebral perfusion MRI using multi‐timepoint arterial spin labeling: Acquisition, quantification, and clinical applications (2024)
Journal Article

Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision-making. This guidelines article provides a comprehensive overview of quantitative... Read More about Recommendations for quantitative cerebral perfusion MRI using multi‐timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.

Bayesian Inference for Non-linear forward model by using a VAE-based neural network structure (2024)
Journal Article

In this paper, a Variational Autoencoder (VAE) based framework is introduced to solve parameter estimation problems for non-linear forward models. In particular, we focus on applications in the field of medical imaging where many thousands of model-b... Read More about Bayesian Inference for Non-linear forward model by using a VAE-based neural network structure.

BASIL: A Toolbox for Perfusion Quantification using Arterial Spin Labelling (2023)
Journal Article

Arterial Spin Labelling (ASL) MRI is now an established non-invasive method to quantify cerebral blood flow and is increasingly being used in a variety of neuroimaging applications. With standard ASL acquisition protocols widely available, there is a... Read More about BASIL: A Toolbox for Perfusion Quantification using Arterial Spin Labelling.

Brain perfusion imaging by multi‐delay arterial spin labeling: Impact of modeling dispersion and interaction with denoising strategies and pathology (2023)
Journal Article

Purpose: Arterial spin labeling (ASL) acquisitions at multiple post-labeling delays may provide more accurate quantification of cerebral blood flow (CBF), by fitting appropriate kinetic models and simultaneously estimating relevant parameters such as... Read More about Brain perfusion imaging by multi‐delay arterial spin labeling: Impact of modeling dispersion and interaction with denoising strategies and pathology.