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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Wissenschaftlicher Beirat: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model

Hendrik Teske
  • Korrespondenzautor
  • Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
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/ Kathrin Bartelheimer
  • Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Germany
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/ Rolf Bendl
  • Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, Heilbronn University, Faculty of Computer Science, Germany
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/ Eva M. Stoiber
  • Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, Germany
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/ Kristina Giske
  • Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Germany
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Online erschienen: 07.09.2017 | DOI: https://doi.org/10.1515/cdbme-2017-0099

Abstract

Deformable image registration is gradually becoming the tool of choice for motion extraction during adaptive radiotherapy. Achieving a motion vector field that accurately represents the anatomical changes requires a tissue specific transformation model. Therefore, widely used spline based models most likely fail in appropriately reproducing large anatomical changes such as the arms of the patient being positioned up and down. We present the application of a tissue specific biomechanical model with the goal to mimic patient motion even in presence of large motion. Based on the planning CT, delineated bones are used to represent the rigid anatomy of the patient. We implement ball-and-socket joints between corresponding bones in order to achieve mobility of the skeleton. An inverse kinematics approach enables the propagation of motion between individual bones across their joints, leading to an articulated skeleton that can be controlled by feature points on one or more bones. The transformation of each bone initializes a chainmail based soft tissue model to also propagate the motion into the surrounding heterogeneous soft tissue. Representation of different postures like arms up and down can be achieved within less than 1 s for the skeleton and ∼10 s for the soft tissue. Especially for large anatomical changes, the kinematics approach benefits from the direct articulation at specific joints, considerably lowering the degrees of freedom for motion description. Being the input for the chainmail based soft tissue model, the transformed bones guarantee for its meaningful initialization. The proposed biomechanical skeleton model is promising to facilitate the registration of patients’ anatomy, being positioned with arms up and arms down. The results encourage further refinement of the joints and the soft tissue model.

Keywords: biomechanical model; inverse kinematics; chainmail; posture modelling; head and neck cancer

Artikelinformationen

Online erschienen: 07.09.2017


Quellenangabe: Current Directions in Biomedical Engineering, Band 3, Heft 2, Seiten 469–472, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0099.

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©2017 Hendrik Teske et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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