Vornehm M, Chen C, Sultan MA, Arshad SM, Han Y, Knoll F, Ahmad R (2025)
Publication Type: Journal article
Publication year: 2025
DOI: 10.1002/mrm.70000
Purpose: Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath-held imaging protocols pose challenges for patients with arrhythmias or limited breath-holding capacity. This work aims to overcome these limitations by developing a reconstruction framework that enables high-quality imaging in free-breathing conditions for various dynamic cardiac MRI protocols. Methods: Multi-Dynamic Deep Image Prior (M-DIP), a novel unsupervised reconstruction framework for accelerated real-time cardiac MRI, is introduced. To capture contrast or content variation, M-DIP first employs a spatial dictionary to synthesize a time-dependent intermediate image. Then, this intermediate image is further refined using time-dependent deformation fields that model cardiac and respiratory motion. Unlike prior DIP-based methods, M-DIP simultaneously captures physiological motion and frame-to-frame content variations, making it applicable to a wide range of dynamic applications. Results: We validate M-DIP using simulated MRXCAT cine phantom data as well as free-breathing real-time cine, single-shot late gadolinium enhancement (LGE), and first-pass perfusion data from clinical patients. Comparative analyses against state-of-the-art supervised and unsupervised approaches demonstrate M-DIP's performance and versatility. M-DIP achieved better image quality metrics on phantom data, higher reader scores on in-vivo cine and LGE data, and comparable scores on in-vivo perfusion data relative to another DIP-based approach. Conclusion: M-DIP enables high-quality reconstructions of real-time free-breathing cardiac MRI without requiring external training data. Its ability to model physiological motion and content variations makes it a promising approach for various dynamic imaging applications.
APA:
Vornehm, M., Chen, C., Sultan, M.A., Arshad, S.M., Han, Y., Knoll, F., & Ahmad, R. (2025). Multi-dynamic deep image prior for cardiac MRI. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.70000
MLA:
Vornehm, Marc, et al. "Multi-dynamic deep image prior for cardiac MRI." Magnetic Resonance in Medicine (2025).
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