eprintid: 10197254
rev_number: 8
eprint_status: archive
userid: 699
dir: disk0/10/19/72/54
datestamp: 2024-09-19 13:08:09
lastmod: 2024-09-19 13:08:09
status_changed: 2024-09-19 13:08:09
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Baś, K
creators_name: Lambert, C
creators_name: Ashburner, J
title: Reconstructing MRI Parameters Using a Noncentral Chi Noise Model
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
divisions: D07
divisions: F83
keywords: noise distribution, quantitative MRI, parameter map estimation
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Quantitative magnetic resonance imaging (qMRI) allows images to be compared across sites and time points, which is particularly important for assessing long-term conditions or for longitudinal studies. The multiparametric mapping (MPM) protocol is used to acquire images with conventional clinical contrasts, namely PD-, T1-, and MT-weighted volumes. Through multi-echo acquisition for each contrast and variations in flip angles between PD- and T1-weighted contrasts, parameter maps, such as proton density (PD), longitudinal relaxation rate (R1), apparent transverse relaxation rate (R2∗), and magnetization transfer saturation (MTsat), can be estimated. Various algorithms have been employed to estimate these parameters from the acquired volumes. This paper extends an existing maximum a posteriori approach, which uses joint total variation regularization, by transitioning from a Gaussian noise approximation to a more physically plausible model that assumes noncentral chi-distributed noise.
date: 2024-07-24
date_type: published
publisher: Springer, Cham
official_url: http://dx.doi.org/10.1007/978-3-031-66958-3_13
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2305543
doi: 10.1007/978-3-031-66958-3_13
isbn_13: 9783031669576
lyricists_name: Ashburner, John
lyricists_id: JTASH57
actors_name: Ashburner, John
actors_id: JTASH57
actors_role: owner
full_text_status: restricted
pres_type: paper
series: Lecture Notes in Computer Science, vol 14860
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
pagerange: 174-184
event_title: MIUA 2024
issn: 0302-9743
book_title: Medical Image Understanding and Analysis
citation:        Baś, K;    Lambert, C;    Ashburner, J;      (2024)    Reconstructing MRI Parameters Using a Noncentral Chi Noise Model.                     In:  Medical Image Understanding and Analysis.  (pp. pp. 174-184).  Springer, Cham      
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10197254/1/Reconstructing_MRI_parameters_using_noncentral_chi_noise_model___work.pdf