Registration of 2D cardiac images to real-time 3D ultrasound volumes for 3D stress echocardiography

K. Y. Esther Leung; Marijn van Stralen; Marco M. Voormolen; Gerard van Burken; Attila Nemes; Folkert J. ten Cate; Marcel L. Geleijnse; Nico de Jong; Antonius F. W. van der Steen; Johan H. C. Reiber; Johan G. Bosch

doi:10.1117/12.652107

10 March 2006 Registration of 2D cardiac images to real-time 3D ultrasound volumes for 3D stress echocardiography

K. Y. Esther Leung, Marijn van Stralen, Marco M. Voormolen, Gerard van Burken, Attila Nemes, Folkert J. ten Cate, Marcel L. Geleijnse, Nico de Jong, Antonius F. W. van der Steen, Johan H. C. Reiber, Johan G. Bosch

Author Affiliations +

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614418 (2006) https://doi.org/10.1117/12.652107
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Three-dimensional (3D) stress echocardiography is a novel technique for diagnosing cardiac dysfunction, by comparing wall motion of the left ventricle under different stages of stress. For quantitative comparison of this motion, it is essential to register the ultrasound data. We propose an intensity based rigid registration method to retrieve two-dimensional (2D) four-chamber (4C), two-chamber, and short-axis planes from the 3D data set acquired in the stress stage, using manually selected 2D planes in the rest stage as reference. The algorithm uses the Nelder-Mead simplex optimization to find the optimal transformation of one uniform scaling, three rotation, and three translation parameters. We compared registration using the SAD, SSD, and NCC metrics, performed on four resolution levels of a Gaussian pyramid. The registration's effectiveness was assessed by comparing the 3D positions of the registered apex and mitral valve midpoints and 4C direction with the manually selected results. The registration was tested on data from 20 patients. Best results were found using the NCC metric on data downsampled with factor two: mean registration errors were 8.1mm, 5.4mm, and 8.0° in the apex position, mitral valve position, and 4C direction respectively. The errors were close to the interobserver (7.1mm, 3.8mm, 7.4°) and intraobserver variability (5.2mm, 3.3mm, 7.0°), and better than the error before registration (9.4mm, 9.0mm, 9.9°). We demonstrated that the registration algorithm visually and quantitatively improves the alignment of rest and stress data sets, performing similar to manual alignment. This will improve automated analysis in 3D stress echocardiography.

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K. Y. Esther Leung, Marijn van Stralen, Marco M. Voormolen, Gerard van Burken, Attila Nemes, Folkert J. ten Cate, Marcel L. Geleijnse, Nico de Jong, Antonius F. W. van der Steen, Johan H. C. Reiber, and Johan G. Bosch "Registration of 2D cardiac images to real-time 3D ultrasound volumes for 3D stress echocardiography", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614418 (10 March 2006); https://doi.org/10.1117/12.652107

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