PET motion compensation for radiation therapy using a CT-based mid-position motion model: methodology and clinical evaluation
| Autor: | Jeroen B. van de Kamer, Antonetta C. Houweling, Jan-Jakob Sonke, Matthijs F. Kruis, Marcel van Herk, José Belderbos |
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| Přispěvatelé: | Biomedical Engineering and Physics |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Cancer Research
Lung Neoplasms Image quality Movement medicine.medical_treatment computer.software_genre Multimodal Imaging Imaging phantom Fluorodeoxyglucose F18 Position (vector) Voxel Image Processing Computer-Assisted Humans Medicine Radiology Nuclear Medicine and imaging Four-Dimensional Computed Tomography Radiation treatment planning Motion compensation Radiation medicine.diagnostic_test Phantoms Imaging business.industry Respiration Radiation therapy Oncology Positron emission tomography Positron-Emission Tomography Radiopharmaceuticals Tomography X-Ray Computed business Nuclear medicine computer Algorithms |
| Zdroj: | International journal of radiation oncology, biology, physics, 87(2), 394-400. Elsevier Inc. |
| ISSN: | 0360-3016 |
| DOI: | 10.1016/j.ijrobp.2013.06.007 |
| Popis: | Purpose Four-dimensional positron emission tomography (4D PET) imaging of the thorax produces sharper images with reduced motion artifacts. Current radiation therapy planning systems, however, do not facilitate 4D plan optimization. When images are acquired in a 2-minute time slot, the signal-to-noise ratio of each 4D frame is low, compromising image quality. The purpose of this study was to implement and evaluate the construction of mid-position 3D PET scans, with motion compensated using a 4D computed tomography (CT)-derived motion model. Methods and Materials All voxels of 4D PET were registered to the time-averaged position by using a motion model derived from the 4D CT frames. After the registration the scans were summed, resulting in a motion-compensated 3D mid-position PET scan. The method was tested with a phantom dataset as well as data from 27 lung cancer patients. Results PET motion compensation using a CT-based motion model improved image quality of both phantoms and patients in terms of increased maximum SUV (SUV max ) values and decreased apparent volumes. In homogenous phantom data, a strong relationship was found between the amplitude-to-diameter ratio and the effects of the method. In heterogeneous patient data, the effect correlated better with the motion amplitude. In case of large amplitudes, motion compensation may increase SUV max up to 25% and reduce the diameter of the 50% SUV max volume by 10%. Conclusions 4D CT-based motion-compensated mid-position PET scans provide improved quantitative data in terms of uptake values and volumes at the time-averaged position, thereby facilitating more accurate radiation therapy treatment planning of pulmonary lesions. |
| Databáze: | OpenAIRE |
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