Direction-dependent regularization for improved estimation of liver and lung motion in 4D image data

Alexander Schmidt-Richberg; Jan Ehrhardt; René Werner; Heinz Handels

doi:10.1117/12.844194

12 March 2010 Direction-dependent regularization for improved estimation of liver and lung motion in 4D image data

Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Heinz Handels

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76232Y (2010) https://doi.org/10.1117/12.844194
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

The estimation of respiratory motion is a fundamental requisite for many applications in the field of 4D medical imaging, for example for radiotherapy of thoracic and abdominal tumors. It is usually done using non-linear registration of time frames of the sequence without further modelling of physiological motion properties. In this context, the accurate calculation of liver und lung motion is especially challenging because the organs are slipping along the surrounding tissue (i.e. the rib cage) during the respiratory cycle, which leads to discontinuities in the motion field. Without incorporating this specific physiological characteristic, common smoothing mechanisms cause an incorrect estimation along the object borders. In this paper, we present an extended diffusion-based model for incorporating physiological knowledge in image registration. By decoupling normal- and tangential-directed smoothing, we are able to estimate slipping motion at the organ borders while preventing gaps and ensuring smooth motion fields inside. We evaluate our model for the estimation of lung and liver motion on the basis of publicly accessible 4D CT and 4D MRI data. The results show a considerable increase of registration accuracy with respect to the target registration error and a more plausible motion estimation.

Citation Download Citation

Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, and Heinz Handels "Direction-dependent regularization for improved estimation of liver and lung motion in 4D image data", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76232Y (12 March 2010); https://doi.org/10.1117/12.844194

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