The noise navigator for MRI-guided radiotherapy: an independent method to detect physiological motion
Autor: | Anna Andreychenko, C.A.T. Van den Berg, R.J.M. Navest, Stefan E Zijlema, B. Stemkens, Stefano Mandija, J.J.W. Lagendijk |
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Rok vydání: | 2020 |
Předmět: |
Organs at Risk
Computer science medicine.medical_treatment Signal-To-Noise Ratio Signal Noise (electronics) 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Organ Motion Signal-to-noise ratio medicine Humans Radiology Nuclear Medicine and imaging Computer vision Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Orientation (computer vision) Magnetic resonance imaging Motion detection Torso Magnetic Resonance Imaging Radiation therapy medicine.anatomical_structure 030220 oncology & carcinogenesis Temporal resolution Artificial intelligence Particle Accelerators business Mri guided radiotherapy Radiotherapy Image-Guided |
Zdroj: | Physics in Medicine & Biology. 65:12NT01 |
ISSN: | 1361-6560 |
DOI: | 10.1088/1361-6560/ab8cd8 |
Popis: | Motion is problematic during radiotherapy as it could lead to potential underdosage of the tumor, and/or overdosage in organs-at-risk. A solution is adaptive radiotherapy guided by magnetic resonance imaging (MRI). MRI allows for imaging of target volumes and organs-at-risk before and during treatment delivery with superb soft tissue contrast in any desired orientation, enabling motion management by means of (real-time) adaptive radiotherapy. The noise navigator, which is independent of the MR signal, could serve as a secondary motion detection method in synergy with MR imaging. The feasibility of respiratory motion detection by means of the noise navigator was demonstrated previously. Furthermore, from electromagnetic simulations we know that the noise navigator is sensitive to tissue displacement and thus could in principle be used for the detection of various types of motion. In this study we demonstrate the detection of various types of motion for three anatomical use cases of MRI-guided radiotherapy, i.e. torso (bulk movement and variable breathing), head-and-neck (swallowing) and cardiac. Furthermore, it is shown that the noise navigator can detect bulk movement, variable breathing and swallowing on a hybrid 1.5 T MRI-linac system. Cardiac activity detection through the noise navigator seems feasible in an MRI-guided radiotherapy setting, but needs further optimization. The noise navigator is a versatile and fast (millisecond temporal resolution) motion detection method independent of MR signal that could serve as an independent verification method to detect the occurrence of motion in synergy with real-time MRI-guided radiotherapy. |
Databáze: | OpenAIRE |
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