Longitudinal QSM: Enhancing consistency of multiple time point susceptibility maps via simultaneous reconstruction
Jiye Kim, Hwihun Jeong, Taechang Kim, Eunseon Jeong, Jinhee Jang, Yangsean Choi, and Jongho Lee

TL;DR
Longitudinal QSM is a novel simultaneous reconstruction method that improves the consistency and sensitivity of susceptibility maps over time, aiding in neurodegenerative disease monitoring.
Contribution
It introduces a joint estimation framework that enforces spatial sparsity of temporal changes, reducing variability and enhancing detection of true brain changes.
Findings
Reduced inter-scan variability in susceptibility maps.
Accurately recovered simulated lesion changes.
Stabilized non-lesion variability in patient data.
Abstract
Quantitative susceptibility mapping (QSM) has been increasingly applied in longitudinal studies of neurodegenerative diseases and aging to assess temporal alterations in brain iron and myelin. The accuracy of such investigations depends on the repeatability and sensitivity of measurements. However, the ill-posed nature of the QSM processing steps makes the reconstruction vulnerable to background field changes, head orientation changes, noise, and imperfect registration, which compromise repeatability and sensitivity and hinder reliable detection of true changes. To address these limitations, we propose Longitudinal QSM, a simultaneous reconstruction framework that jointly estimates susceptibility maps across time points while enforcing spatial sparsity of temporal changes. The method was evaluated through simulations and in-vivo experiments and compared with conventional reconstruction…
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