New publication in Magnetic Resonance in Medicine

Symbolbild zum Artikel. Der Link öffnet das Bild in einer großen Anzeige.
29. August 2024

We are happy to announce that our latest publication “CineVN: Variational network reconstruction for rapid functional cardiac cine MRI” (https://onlinelibrary.wiley.com/doi/10.1002/mrm.30260) has been published in Magnetic Resonance in Medicine!

We demonstrate fast inline reconstructions of high-resolution real-time cine MRI with better image quality and more accurate evaluation of cardiac function and myocardial strain compared to state-of-the-art compressed sensing reconstructions. This research was a joint effort of the Computational Imaging Lab with Siemens Healthineers AG, MVZ Diagnostikum Berlin GmbH, and The Ohio State University.

The proposed method is based on a Variational Network architecture adapted for spatiotemporal data and combines it with ideas from conjugate gradient descent.

Architecture of the CineVN consisting of N=15 cascades. Each cascade contains a data consistency (DC) and a refinement (R) term. After every third cascade, we insert a conjugate gradient (CG) block. Trainable parameters are denoted in red.

 

Short-axis slice from a healthy volunteer acquired using the prospective two-shot and real-time protocols, reconstructed using CineVN, Vendor compressed sensing (CS), and CS reconstruction with temporal total variation regularization (TTV-CS). Red arrows denote areas were improved temporal fidelity is particularly visible. Yellow arrows show an area with residual aliasing in the CS reconstruction methods and most notably in the TTV-CS reconstruction.

Kategorie: Allgemein