MICCAI 2013 - LNCS 8149-8151

Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images

Antonio R. Porras^{1, 2}, Mathieu De Craene³, Nicolas Duchateau⁴, Marta Sitges⁴, Bart H. Bijnens^{1, 5}, Alejandro F. Frangi^{1, 2, 6}, and Gemma Piella^{1, 2}

¹Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain

²Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Spain

³Philips Research, Medisys, Suresnes, France

⁴Hospital Clínic - IDIBAPS, Universitat de Barcelona, Spain

⁵ICREA, Barcelona, Spain

⁶Department of Mechanical Engineering, University of Sheffield, UK

Abstract. We present a registration framework that combines both tissue Doppler and B-mode echocardiographic sequences. The estimated spatiotemporal transform is diffeomorphic, and calculated by modeling its corresponding velocity field using continuous B-splines. A new cost function using both B-mode image voxel intensities and Doppler velocities is also proposed. Registration accuracy was evaluated on synthetic data with known ground truth. Results showed that our method allows quantifying wall motion with higher accuracy than when using a single modality. On patient data, both displacement and velocity curves were compared with the ones obtained from widely used commercial software using either B-mode images or TDI. Our method demonstrated to be more robust to image noise while being independent from the beam angle.

LNCS 8150, p. 484 ff.

Full article in PDF | BibTeX