461-02-003 ISMRM Abstract

Automated landmark detection in four-chamber cardiac MRI using deep learning for advanced view prescription

Primary: Acquisition & Reconstruction - AI methods

Secondary: Cardiovascular - Valves

461-02-003 · AI To Make Protocols, Plan, QC, and Correct Motion · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row B

Keywords: Workflow Automation

Accepted

Gaspar Delso¹, Collin Buelo², Justin Leonard³, Fara Nikbeh², Jane Names², Willian Cordeiro², Martin A Janich ⁴

¹GE HealthCare (ES), Spain

²GE HealthCare (US), Waukesha, United States of America

³GE Healthcare (UK), United Kingdom

⁴GE HealthCare (DE), Germany

Presenting Author: Martin A Janich

Synopsis

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References

1. Herzog B, et al. “Cardiovascular Magnetic Resonance Pocket Guide”, EACVI/ESC, 2017.

2. Blansit K, et al. “Deep Learning-based Prescription of Cardiac MRI Planes”, Radiol Artif Intell. 2019 Nov 27;1(6).

3. Oechtering T, et al. “Evaluation of in-line automated Deep Learning-based slice prescription for cardiac MRI”, RSNA 2025, Chicago (IL), Accepted.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/461-02-003