How do registration parameters affect quantitation of lung kinematics?

Authors:
Tessa Sundaram Cook;Nicholas Tustison;Jürgen Biederer;Ralf Tetzlaff;James Gee
Affiliations:
Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Dept. of Diag. Radiology, Univ. Hosp. Schleswig-Holstein, Germany and Dept. of Radiology, German Cancer Research Center, Heidelberg, Germany;Dept. of Radiology, German Cancer Research Center, Heidelberg, Germany;Dept. of Radiology, University of Pennsylvania, Philadelphia, PA
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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Abstract

Assessing the quality of motion estimation in the lung remains challenging. We approach the problem by imaging isolated porcine lungs within an artificial thorax with four-dimensional computed tomography (4DCT). Respiratory kinematics are estimated via pairwise non-rigid registration using different metrics and image resolutions. Landmarks are manually identified on the images and used to assess accuracy by comparing known displacements to the registration-derived displacements. We find that motion quantitation becomes less precise as the inflation interval between images increases. In addition, its sensitivity to image resolution varies anatomically. Mutual information and cross-correlation perform similarly, while mean squares is significantly poorer. However, none of the metrics compensate for the difficulty of registering over a large inflation interval. We intend to use the results of these experiments to more effectively and efficiently quantify pulmonary kinematics in future, and to explore additional parameter combinations.