Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures
SyMTIC enables robust generation of high-quality multi-TI images from routine MR contrasts. When paired with the HACA3 algorithm, it generalizes well to varied clinical datasets, including those without FLAIR or <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>T</mml:mi> <mml:mn>2</mml:mn></mml:msub> </mml:mrow> </mml:math> -w images and unknown parameters, offering a practical solution for improving brain MR image visualization and analysis.
Authors
- Lianrui Zuo (ORCID: https://orcid.org/0000-0002-5923-9097)
- Yihao Liu (ORCID: https://orcid.org/0000-0003-3187-9903)
- Jiachen Zhuo (ORCID: https://orcid.org/0000-0001-6637-701X)
- Ellen M. Mowry (ORCID: https://orcid.org/0000-0003-0623-5188)
- Blake E. Dewey (ORCID: https://orcid.org/0000-0003-4554-5058)
- Jerry L. Prince (ORCID: https://orcid.org/0000-0002-6553-0876)
- Aaron Carass (ORCID: https://orcid.org/0000-0003-4939-5085)
- Scott D. Newsome (ORCID: https://orcid.org/0000-0002-5284-4681)
- Anqi Feng
- Savannah P. Hays
Institutions
- University of Maryland, Baltimore (US)
- Johns Hopkins University (US)
- Vanderbilt University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1117/1.jmi.13.1.014002
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00