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

被引:1
作者
Leung, K. Y. Esther [1 ]
Van Stralen, Marijn [1 ,2 ,3 ]
Voormolen, Marco M. [1 ,2 ]
Van Burken, Gerard [1 ]
Nemes, Attila [1 ]
Ten Cate, Folkert J. [1 ]
Geleijnse, Marcel L. [1 ]
De Jong, Nico [1 ,2 ]
Van der Steen, Antonius F. W. [1 ,2 ]
Reiber, Johan H. C. [3 ]
Bosch, Johan G. [1 ]
机构
[1] Erasmus MC, Thoraxctr, Rotterdam, Netherlands
[2] ICIN, Utrecht, Netherlands
[3] Leiden Univ, Med Ctr, Dept Radiol, Div Image Proc, Leiden, Netherlands
来源
MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3 | 2006年 / 6144卷
关键词
three-dimensional ultrasound imaging; image registration; cardiovascular;
D O I
10.1117/12.652107
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 9 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 8.1 mm, 5.4mm, and 8.0 degrees in the apex position, mitral valve position, and 4C direction respectively. The errors were close to the interobserver (7.1mm, 3.8mm, 7.4 degrees) and intraobserver variability (5.2mm, 3.3mm, 7.0 degrees), and better than the error before registration (9.4mm, 9.0mm, 9.9 degrees). 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.
引用
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页数:12
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