Online real-time reconstruction of adaptive TSENSE with commodity CPU / GPU hardware

Sébastien Roujol (1) , Baudouin Denis de Senneville (2) , Erkki Vahalla , Thomas Sangild Sorensen (3) , Chrit Moonen (4) , Mario Ries (4)

1 Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
2 IMB - Institut de Mathématiques de Bordeaux
3 Aarhus University [Aarhus]
4 University Medical Center [Utrecht]

Adaptive TSENSE has been suggested as a robust parallel imaging method suitable for MR-guidance of interventional procedures. However, in practice, the reconstruction of adaptive TSENSE images obtained with large coil arrays leads to long reconstruction times and latencies and thus hampers its use for applications such as MR-guided thermotherapy or cardiovascular catheterization. Here, we demonstrate a real-time reconstruction pipeline for adaptive TSENSE with low image latencies and high frame-rates on affordable commodity PC hardware. For typical image sizes used in interventional imaging (128×96, 16-channels, SENSE-factor 2-4), the pipeline is able to reconstruct adaptive TSENSE images with image latencies below 90 ms at frame-rates of up to 40 images/s, rendering the MR-performance in practice limited by the constraints of the MR-acquisition. Its performance is demonstrated by the online reconstruction of in-vivo MR images for rapid temperature mapping of the kidney and for cardiac cathetirization.

Domaines: Traitement du signal et de l'image [eess.SP]

Sébastien Roujol, Baudouin Denis de Senneville, Erkki Vahalla, Thomas Sangild Sorensen, Chrit Moonen, et al.. Online real-time reconstruction of adaptive TSENSE with commodity CPU / GPU hardware. Magnetic Resonance in Medicine, 2010. ⟨hal-01504334⟩