Accuracy of non-rigid registration for local analysis of elasticity restrictions of the lungs

Daniel Stein; Ralf Tetzlaff; Ivo Wolf; Hans-Peter Meinzer

doi:10.1117/12.812234

13 March 2009 Accuracy of non-rigid registration for local analysis of elasticity restrictions of the lungs

Daniel Stein, Ralf Tetzlaff, Ivo Wolf, Hans-Peter Meinzer

Proceedings Volume 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling; 72611P (2009) https://doi.org/10.1117/12.812234
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Diseases of the lung often begin with regionally limited changes altering the tissue elasticity. Therefore, quantification of regional lung tissue motion would be desirable for early diagnosis, treatment monitoring, and follow-up. Dynamic MRI can capture such changes, but quantification requires non-rigid registration. However, analysis of dynamic MRI data of the lung is challenging due to inherently low image signal and contrast. Towards a computer-assisted quantification for regional lung diseases, we have evaluated two Demons-based registration methods for their accuracy in quantifying local lung motion on dynamic MRI data. The registration methods were applied on masked image data, which were pre-segmented with a graph-cut algorithm. Evaluation was performed on five datasets from healthy humans with nine time frames each. As gold standard, manually defined points (between 8 and 24) on prominent landmarks (essentially vessel structures) were used. The distance between these points and the predicted landmark location as well as the overlap (Dice coefficient) of the segmentations transformed with the deformation field were calculated. We found that the Demons algorithm performed better than the Symmetric Forces Demons algorithm with respect to average landmark distance (6.5 mm ± 4.1 mm vs. 8.6 mm ± 6.1 mm), but comparable regarding the Dice coefficient (0.946 ± 0.018 vs. 0.961 ± 0.018). Additionally, the Demons algorithm computes the deformation in only 10 seconds, whereas the Symmetric Forces Demons algorithm takes about 12 times longer.

Citation Download Citation

Daniel Stein, Ralf Tetzlaff, Ivo Wolf, and Hans-Peter Meinzer "Accuracy of non-rigid registration for local analysis of elasticity restrictions of the lungs", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611P (13 March 2009); https://doi.org/10.1117/12.812234

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