EP-2122: Influence of DIR algorithms on correspondence model-based 4D dose accumulation for lung/liver SBRT

Autor: Sothmann, T., Mogadas, N., Gauer, T., Werner, R.

Publikováno v: In Radiotherapy and Oncology April 2018 127 Supplement 1:S1168-S1168

Stability analysis of patient-specific 4DCT- and 4DCBCT-based correspondence models.

Autor: Büttgen LE; Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Werner R; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Gauer T; Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Publikováno v: Medical physics [Med Phys] 2024 Sep; Vol. 51 (9), pp. 5890-5900. Date of Electronic Publication: 2024 Jul 20.

Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom.

Autor: Schetelig D; University Medical Center Hamburg-Eppendorf, Department of Computational Neuroscience, Hamburg, 20246, Germany. d.schetelig@uke.de., Sedlacik J; University Medical Center Hamburg-Eppendorf, Department of Diagnostic and Interventional Neuroradiology, Hamburg, 20246, Germany., Fiehler J; University Medical Center Hamburg-Eppendorf, Department of Diagnostic and Interventional Neuroradiology, Hamburg, 20246, Germany., Frölich A; University Medical Center Hamburg-Eppendorf, Department of Diagnostic and Interventional Neuroradiology, Hamburg, 20246, Germany., Knopp T; University Medical Center Hamburg-Eppendorf, Section for Biomedical Imaging, Hamburg, 20246, Germany.; Hamburg University of Technology, Institute for Biomedical Imaging, Hamburg, 20246, Germany., Sothmann T; University Medical Center Hamburg-Eppendorf, Department of Computational Neuroscience, Hamburg, 20246, Germany.; University Medical Center Hamburg-Eppendorf, Department of Radiotherapy and Radiation Oncology, Hamburg, 20246, Germany., Waschkewitz J; University Medical Center Hamburg-Eppendorf, Department of Radiotherapy and Radiation Oncology, Hamburg, 20246, Germany., Werner R; University Medical Center Hamburg-Eppendorf, Department of Computational Neuroscience, Hamburg, 20246, Germany.

Publikováno v: Scientific reports [Sci Rep] 2018 Jul 20; Vol. 8 (1), pp. 11004. Date of Electronic Publication: 2018 Jul 20.

Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study.

Autor: Mogadas N; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Germany., Sothmann T; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Germany; Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Germany. Electronic address: t.sothmann@uke.de., Knopp T; Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Germany., Gauer T; Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Germany., Petersen C; Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Germany., Werner R; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Germany.

Publikováno v: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2018 May; Vol. 127 (2), pp. 225-232. Date of Electronic Publication: 2018 Mar 29.

Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images.

Autor: Madesta F; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Sentker T; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Gauer T; Department of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Werner R; Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Publikováno v: Medical physics [Med Phys] 2024 May; Vol. 51 (5), pp. 3437-3454. Date of Electronic Publication: 2023 Dec 06.