98%
921
2 minutes
20
Purpose: To propose a novel highly efficient isotropic-resolution 3D whole-heart saturation-recovery and variable-flip-angle (SAVA) T mapping sequence at 0.55 T, incorporating image navigator (iNAV)-based non-rigid motion correction and dictionary matching.
Methods: The proposed iNAV-based isotropic-resolution 3D whole-heart SAVA T mapping sequence at 0.55 T acquires three gradient echo T-weighted volumes sequentially: an equilibrium contrast with 4° flip angle, and two saturation recovery T-weighted contrasts with 10° flip angles and different saturation delays. Sequence parameters were optimized for the lower field strength by simulations and phantom experiments. Two-dimensional iNAVs are acquired at each heartbeat to enable respiratory motion estimation and correction and 100% respiratory scan efficiency. The T mapping is computed by dictionary matching, using subject-specific dictionaries based on Bloch equations simulations. Non-rigid motion correction is implemented based on respiratory bins reconstructed by iterative-SENSE and subsequent patch-based low-rank denoising, for each contrast separately. The proposed approach was evaluated in a standardized T phantom and 10 healthy subjects, in comparison to spin-echo reference and 2D MOLLI, respectively.
Results: Excellent agreement is observed between iNAV-based SAVA T mapping at 0.55 T and spin echo reference in phantom, with a for all phantom vials. Good image quality was obtained in vivo for the contrast images and corresponding T maps in a scan time of 6:30 min ±40 s. Average and SD of myocardial T values across subjects and segments was 706 ± 41 ms, which is comparable to acquired 2D MOLLI values of 681 ± 26 ms, and previously reported 2D MOLLI values of 701 ± 24 ms. Coefficient of variation values (12%) are higher than those previously reported for diaphragmatic navigator-based non-isotropic SAVA T mapping at 3 T (7.4%).
Conclusion: The proposed iNAV-based SAVA approach achieves free-breathing motion-corrected 3D whole-heart T mapping at 0.55 T in approximately 7 min scan time for an isotropic resolution of 2 mm. In vivo experiments showed that the proposed sequence achieves good map quality, with comparable T values and spatial variability compared to 2D MOLLI T mapping. Further evaluation is warranted in patients with cardiovascular disease.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/mrm.70038 | DOI Listing |
Polymers (Basel)
August 2025
Department of Robotics and Manufacturing Systems, Faculty of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.
This systematic literature review explores recent advancements in polymer-based composite materials designed for thermal insulation in automotive applications, with a particular focus on sustainability, performance optimization, and scalability. The methodology follows PRISMA 2020 guidelines and includes a comprehensive bibliometric and thematic analysis of 229 peer-reviewed articles published over the past 15 years across major databases (Scopus, Web of Science, ScienceDirect, MDPI). The findings are structured around four central research questions addressing (1) the functional role of insulation in automotive systems; (2) criteria for selecting suitable polymer systems; (3) optimization strategies involving nanostructuring, self-healing, and additive manufacturing; and (4) future research directions involving smart polymers, bioinspired architectures, and AI-driven design.
View Article and Find Full Text PDFMagn Reson Med
August 2025
Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile.
Purpose: To propose a novel highly efficient isotropic-resolution 3D whole-heart saturation-recovery and variable-flip-angle (SAVA) T mapping sequence at 0.55 T, incorporating image navigator (iNAV)-based non-rigid motion correction and dictionary matching.
Methods: The proposed iNAV-based isotropic-resolution 3D whole-heart SAVA T mapping sequence at 0.
J Environ Manage
May 2024
Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33, 1180 Vienna, Austria; Christian Doppler Laboratory for Meta Ecosystem Dynamics in Riverine Landscapes - Research for Sustainable River Management, Institute of Hyd
Floodplains provide an extraordinary quantity and quality of ecosystem services (ES) but are among the most threatened ecosystems worldwide. The uses and transformations of floodplains differ widely within and between regions. In recent decades, the diverse pressures and requirements for flood protection, drinking water resource protection, biodiversity, and adaptation to climate change have shown that multi-functional floodplain management is necessary.
View Article and Find Full Text PDFSensors (Basel)
February 2024
Geospatial Research Laboratory, Engineer Research and Development Center, 7701 Telegraph Road, Bldg 2592, Alexandria, VA 22315, USA.
A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates (winter and non-winter) of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers (such as global impervious surface and global tree cover) to create binary masks from which to generate a balanced set of training data applied to a random forest classifier.
View Article and Find Full Text PDFPLoS One
September 2022
Department of Sociology, University of Antwerp, Antwerpen, Belgium.