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