Abstract
We propose integrating projection profile matching into a 1.5 Tesla clinical magnetic resonance (MR) scanner system to track a target organ in real-time for MRI guided therapy. As soon as a scanner acquires echoes, MR echo data are transferred immediately from the scanner to an “on-the-fly” processing computer that executes projection profile matching, image reconstruction, image registration and motion correction, The system provides respiratory motion information about a target organ with a frame rate of up to 10 Hz and delay time of 200 ms. We report measurements of a phantom and a volunteer to evaluate the delay and the accuracy of the motion measurement with respect to the true motion, and feasibility. The study compares projection profile matching-based measurement and a “golden-standard” obtained by tracking a phantom with a video camera. The error was 1.5 mm with a delay of 200 ms. We tracked the moving liver of a volunteer, and two studies demonstrates that the system can be applied to clinical use.
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Keywords
- Image Registration
- Video Tracking
- Clinical Magnetic Resonance Imaging
- Focus Ultrasound Surgery
- Navigator Echo
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Tokuda, J., Hirano, M., Tsukamoto, T., Dohi, T., Hata, N. (2003). Integration of Projection Profile Matching into Clinical MR Scanner System for Real-Time Organ Tracking and Image Registration. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_39
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DOI: https://doi.org/10.1007/978-3-540-39903-2_39
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