D. Singh, R. R. Regatte, M. V. W. Zibetti
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, United States

Impact: Our results indicate that SGDNet is faster for whole knee joint T1$$$\rho$$$ mapping than the NLS-based methods, with comparable errors. Thus, SGDNets is an alternative to replace NLS and RNLS for T1$$$\rho$$$ mapping when computational time is an issue.

S. Sedaghat, J. Park, E. Fu, A. von Drygalski, D. Moazamian, Y. Ma, E. Chang, J. Du, L. Nardo, H. Jang
University Hospital Heidelberg, Heidelberg, Germany

Impact: UTE-based QSM enables precise separation of paramagnetic and diamagnetic sources in musculoskeletal tissues, improving detection of iron deposits in joints. This technique promises enhanced accuracy in diagnosing conditions like hemophilic arthropathy and assessing biochemical tissue composition in clinical applications.

A. Monga, H. Moura, M. Zibetti, S. Rao, R. Regatte
NYU Grossman School of Medicine, New York, United States

Impact: The study demonstrates that the T1ρ mapping obtained from magnetization-prepared 3D-UTE Sequence can potentially detect AT, particularly with BE relaxation models when combined with LDA.

Y. Young
Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China

Impact: The muscle ECV fraction, quantified by T1-mapping MRI, may help elucidate the pathophysiological mechanisms of skeletal muscle abnormalities in patients with ACLD.

S. Foulkes, M. Haykowsky, R. Sherrington, A. Kirkham, J. Grenier, P. Seres, C. Beaulieu, D. Paterson, R. Thompson
University of Alberta, Edmonton, Canada

Impact: The SR-CSE approach jointly quantifies skeletal muscle fat and water-specific T1 (T1Water, removing T1 bias from fat), offering detection of muscle fibrosis and/or edema with co-existing fatty infiltration (e.g. sarcopenia).

D. Si, M. Crabb, S. Littlewood, K. Kunze, C. Prieto, R. Botnar
School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Impact: The proposed 3D T1ρ mapping sequence demonstrates the feasibility of non-invasive myocardial tissue characterization at 0.55T with 2mm isotropic-resolution in an efficient free-breathing scan of 7 mins. Both phantom and in-vivo 3D T1ρ measurements showed excellent agreements with reference sequences.

Impact: A neural network-based liver wT1 mapping technique that shortens acquisition times using CIR-LL without sacrificing the quality of quantitative reconstruction results, and holds promise for further mapping applications.

D. Yang, K. Li, H. Qin, J. Zheng
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning ,China, Nanning, Chile

Impact:

This research employs non-contrast T1ρ mapping to evaluate fibrosis differences between HCM and HHD, providing valuable insights for distinguishing left ventricular hypertrophy, consequently supporting customized, patient-specific treatment approaches.

J. Kim, Z. Zhang, R. Lartey, M. Li, S. Zbyn, S. Tosun, S. Russek, K. Stupic, C. Stoffer, K. Keenan, D. Rutkowski, J. Kammerman, J. Brittain, C. Winalski, X. Li
Cleveland Clinic, Cleveland, United States

Impact: We established a QA process for knee MRI relaxometry using a novel MSK relaxometry phantom for large-scale multi-site studies. By identifying discrepancies in measurements during the study, the QA process will ensure data quality in multi-site studies.

S. H. Shin, J. Lo, A. Suprana, J. Wang, D. Moazamian, D. Berry, S. Jerban, E. Chang, J. Du, Y. Ma
UC San Diego, La Jolla, United States

Impact: The proposed sequence enables motion-insensitive quantitative imaging of short T2 tissues requiring multi-echo acquisitions, such as bi-component T2* imaging and quantitative susceptibility mapping, without post-acquisition motion correction.