Online Spatiotemporally Constrained Reconstruction for Real‐Time Interactive MRI
We demonstrate low-latency reconstruction for 2D real-time MRI at 1.5 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mo>×</mml:mo></mml:mrow> <mml:annotation>$$ \times $$</mml:annotation></mml:semantics> </mml:math> 1.5 mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^2 $$</mml:annotation></mml:semantics> </mml:math> spatial resolution, 31.8 ms temporal resolution, and 240 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mo>×</mml:mo></mml:mrow> <mml:annotation>$$ \times $$</mml:annotation></mml:semantics> </mml:math> 240 mm <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mo> </mml:mo> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {}^2 $$</mml:annotation></mml:semantics> </mml:math> FOV. We demonstrate that online STCR improves the depiction of rapidly moving boundaries, compared to standard view-sharing.
Authors
- Duy Le
- Prakash Kumar (ORCID: https://orcid.org/0000-0002-0685-5160)
- Ecrin Yağız (ORCID: https://orcid.org/0000-0001-8113-2192)
- Krishna S. Nayak (ORCID: https://orcid.org/0000-0001-5735-3550)
- Ye Tian (ORCID: https://orcid.org/0000-0002-8559-4404)
Institutions
- University of Southern California (US)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-10-18
- DOI
- https://doi.org/10.1002/mrm.70131
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00