Výsledky vyhledávání - "SEEVINCK, Peter R."

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SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions

Autor: Zijlstra, Frank, Viergever, Max A., Seevinck, Peter R.

Publikováno v: Physica Medica 64 (2019): 252-260

Purpose: This study demonstrates a proof of concept of a method for simultaneous anatomical imaging and real-time (SMART) passive device tracking for MR-guided interventions. Methods: Phase Correlation template matching was combined with a fast under

Externí odkaz: http://arxiv.org/abs/1908.10769

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CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network

Autor: Zijlstra, Frank, Willemsen, Koen, Florkow, Mateusz C., Sakkers, Ralph J. B., Weinans, Harrie H., van der Wal, Bart C. H., van Stralen, Marijn, Seevinck, Peter R.

Purpose: To assess the feasibility of deep learning-based high resolution synthetic CT generation from MRI scans of the lower arm for orthopedic applications. Methods: A conditional Generative Adversarial Network was trained to synthesize CT images f

Externí odkaz: http://arxiv.org/abs/1901.08449

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Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

Autor: Maspero, Matteo, Savenije, Mark H. F., Dinkla, Anna M., Seevinck, Peter R., Intven, Martijn P. W., Jurgenliemk-Schulz, Ina M., Kerkmeijer, Linda G. W., Berg, Cornelis A. T. van den

To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation attenuation in humans, synthetic-CT (sCT) images need to be generated. Considering the application of MR-guided radiotherapy and online adaptive replanning, sCT

Externí odkaz: http://arxiv.org/abs/1802.06468

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Deep MR to CT Synthesis using Unpaired Data

Autor: Wolterink, Jelmer M., Dinkla, Anna M., Savenije, Mark H. F., Seevinck, Peter R., Berg, Cornelis A. T. van den, Isgum, Ivana

MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis. Current deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT training images of the same patient. However, misalignment between paired images c

Externí odkaz: http://arxiv.org/abs/1708.01155

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