Cine Magnetic Resonance

Cine magnetic resonance imaging (cine MRI) provides dynamic visualization of the heart, crucial for assessing cardiac function and diagnosing diseases. Current research heavily focuses on accelerating cine MRI acquisition through deep learning techniques, employing convolutional neural networks, recurrent networks, and diffusion models to reconstruct high-quality images from undersampled data, often incorporating advanced strategies like attention mechanisms and paired sampling to improve image sharpness and reduce artifacts. These advancements aim to reduce scan times, enabling single breath-hold imaging and free-breathing acquisitions, ultimately improving patient comfort and diagnostic accuracy. The resulting improvements in image quality and efficiency have significant implications for clinical practice and large-scale epidemiological studies.