Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model

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 mos...

Full description

Bibliographic Details
Main Authors: Teske Hendrik, Bartelheimer Kathrin, Bendl Rolf, Stoiber Eva M., Giske Kristina
Format: Article
Language:English
Published: De Gruyter 2017-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2017-0099
id doaj-4d28744993f44960b2492c57d78ea297
record_format Article
spelling doaj-4d28744993f44960b2492c57d78ea2972021-09-06T19:19:25ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013246947210.1515/cdbme-2017-0099cdbme-2017-0099Handling images of patient postures in arms up and arms down position using a biomechanical skeleton modelTeske Hendrik0Bartelheimer Kathrin1Bendl Rolf2Stoiber Eva M.3Giske Kristina4Division 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, GermanyDivision 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), GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, Heilbronn University, Faculty of Computer Science, GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, GermanyDivision 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), GermanyDeformable 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.https://doi.org/10.1515/cdbme-2017-0099biomechanical modelinverse kinematicschainmailposture modellinghead and neck cancer
collection DOAJ
language English
format Article
sources DOAJ
author Teske Hendrik
Bartelheimer Kathrin
Bendl Rolf
Stoiber Eva M.
Giske Kristina
spellingShingle Teske Hendrik
Bartelheimer Kathrin
Bendl Rolf
Stoiber Eva M.
Giske Kristina
Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
Current Directions in Biomedical Engineering
biomechanical model
inverse kinematics
chainmail
posture modelling
head and neck cancer
author_facet Teske Hendrik
Bartelheimer Kathrin
Bendl Rolf
Stoiber Eva M.
Giske Kristina
author_sort Teske Hendrik
title Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
title_short Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
title_full Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
title_fullStr Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
title_full_unstemmed Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
title_sort handling images of patient postures in arms up and arms down position using a biomechanical skeleton model
publisher De Gruyter
series Current Directions in Biomedical Engineering
issn 2364-5504
publishDate 2017-09-01
description 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.
topic biomechanical model
inverse kinematics
chainmail
posture modelling
head and neck cancer
url https://doi.org/10.1515/cdbme-2017-0099
work_keys_str_mv AT teskehendrik handlingimagesofpatientposturesinarmsupandarmsdownpositionusingabiomechanicalskeletonmodel
AT bartelheimerkathrin handlingimagesofpatientposturesinarmsupandarmsdownpositionusingabiomechanicalskeletonmodel
AT bendlrolf handlingimagesofpatientposturesinarmsupandarmsdownpositionusingabiomechanicalskeletonmodel
AT stoiberevam handlingimagesofpatientposturesinarmsupandarmsdownpositionusingabiomechanicalskeletonmodel
AT giskekristina handlingimagesofpatientposturesinarmsupandarmsdownpositionusingabiomechanicalskeletonmodel
_version_ 1717778591476875264