Estimation of lung motion fields in 4D CT data by variational non-linear intensity-based registration: A comparison and evaluation study
| Autor: | Heinz Handels, René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg |
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| Rok vydání: | 2014 |
| Předmět: |
Lung Neoplasms
Optimization problem Radiological and Ultrasound Technology business.industry Image registration Regularization (mathematics) Motion Transformation (function) Motion field Motion estimation Image Interpretation Computer-Assisted Humans Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence Four-Dimensional Computed Tomography Tomography X-Ray Computed business Focus (optics) Algorithms Block (data storage) Mathematics |
| Zdroj: | Physics in Medicine and Biology. 59:4247-4260 |
| ISSN: | 1361-6560 0031-9155 |
| DOI: | 10.1088/0031-9155/59/15/4247 |
| Popis: | Accurate and robust estimation of motion fields in respiration-correlated CT (4D CT) images, usually performed by non-linear registration of the temporal CT frames, is a precondition for the analysis of patient-specific breathing dynamics and subsequent image-supported diagnostics and treatment planning. In this work, we present a comprehensive comparison and evaluation study of non-linear registration variants applied to the task of lung motion estimation in thoracic 4D CT data. In contrast to existing multi-institutional comparison studies (e.g. MIDRAS and EMPIRE10), we focus on the specific but common class of variational intensity-based non-parametric registration and analyze the impact of the different main building blocks of the underlying optimization problem: the distance measure to be minimized, the regularization approach and the transformation space considered during optimization. In total, 90 different combinations of building block instances are compared. Evaluated on proprietary and publicly accessible 4D CT images, landmark-based registration errors (TRE) between 1.14 and 1.20 mm for the most accurate registration variants demonstrate competitive performance of the applied general registration framework compared to other state-of-the-art approaches for lung CT registration. Although some specific trends can be observed, effects of interchanging individual instances of the building blocks on the TRE are in general rather small (no single outstanding registration variant existing); the same level of accuracy is, however, associated with significantly different degrees of motion field smoothness and computational demands. Consequently, the building block combination of choice will depend on application-specific requirements on motion field characteristics. |
| Databáze: | OpenAIRE |
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