Ultrasound-driven 4D MRI
| Autor: | Oliver Bieri, Zarko Celicanin, Philippe C. Cattin, Alina Giger, Marc A. Stadelmann, Valeria De Luca, Frank Preiswerk, Rares Salomir, Christoph Jud |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Thorax
Computer science medicine.medical_treatment Image Processing Movement Image processing Similarity measure ddc:616.0757 030218 nuclear medicine & medical imaging Magnetic Resonance Imaging/methods 03 medical and health sciences 0302 clinical medicine Organ Motion Abdomen/diagnostic imaging Abdomen Image Processing Computer-Assisted medicine Computer-Assisted/methods Humans Radiology Nuclear Medicine and imaging Computer vision Four-Dimensional Computed Tomography Radiation treatment planning Four-Dimensional Computed Tomography/methods Ultrasonography Retrospective Studies Thorax/diagnostic imaging Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Respiration Ultrasound Liver Scan Magnetic resonance imaging Ultrasonography/methods Liver/diagnostic imaging Magnetic Resonance Imaging Radiation therapy medicine.anatomical_structure Liver 030220 oncology & carcinogenesis Temporal resolution Artificial intelligence Fiducial marker business |
| Zdroj: | Physics in Medicine and Biology, Vol. 63, No 14 (2018) P. 145015 |
| ISSN: | 0031-9155 |
| Popis: | We present an ultrasound-driven 4D magnetic resonance imaging (US-4DMRI) method for respiratory motion imaging in the thorax and abdomen. The proposed US-4DMRI comes along with a high temporal resolution, and allows for organ motion imaging beyond a single respiratory cycle. With the availability of the US surrogate both inside and outside the MR bore, 4D MR images can be reconstructed for 4D treatment planning and online respiratory motion prediction during radiotherapy. US-4DMRI relies on simultaneously acquired 2D liver US images and abdominal 2D MR multi-slice scans under free respiration. MR volumes are retrospectively composed by grouping the MR slices corresponding to the most similar US images. We present two different US similarity metrics: an intensity-based approach, and a similarity measure relying on predefined fiducials which are being tracked over time. The proposed method is demonstrated on MR liver scans of eight volunteers acquired over a duration of 5.5 min each at a temporal resolution of 2.6 Hz with synchronous US imaging at 14 Hz-17 Hz. Visual inspection of the reconstructed MR volumes revealed satisfactory results in terms of continuity in organ boundaries and blood vessels. In quantitative leave-one-out experiments, both US similarity metrics reach the performance level of state-of-the-art navigator-based approaches. |
| Databáze: | OpenAIRE |
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