Tissue-specific transformation model for CT-images
During radiotherapy, posture changes and volume changing deformations like growing or shrinking tissue result in anatomical deformations. The basis for investigating the impact of such deformations on dose uncertainties, are model-based tools for deformation analysis. In this context, we propose a t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2017-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2017-0111 |
| _version_ | 1797848700917121024 |
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| author | Bartelheimer Kathrin Teske Hendrik Bendl Rolf Giske Kristina |
| author_facet | Bartelheimer Kathrin Teske Hendrik Bendl Rolf Giske Kristina |
| author_sort | Bartelheimer Kathrin |
| collection | DOAJ |
| description | During radiotherapy, posture changes and volume changing deformations like growing or shrinking tissue result in anatomical deformations. The basis for investigating the impact of such deformations on dose uncertainties, are model-based tools for deformation analysis. In this context, we propose a transformation model based on the information of CT-images, which allows an on-the-fly calculation of voxel volumes. Our model is based on the concept of the chainmail algorithm and describes deformation on voxel-level. With an exemplary input of a set of landmark pairs, generated by a kinematic head-and-neck skeleton model, CT-images (512x512x126 voxel) can be deformed with an on-the-fly volume calculation in less than 70s. The volume calculation delivers insight into model-characteristic volume changes and is a prerequisite for implementing tissue growth and shrinkage. |
| first_indexed | 2024-04-09T18:32:56Z |
| format | Article |
| id | doaj.art-532af19cd8ff4b8ba7e4e76a7ad15500 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-09T18:32:56Z |
| publishDate | 2017-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-532af19cd8ff4b8ba7e4e76a7ad155002023-04-11T17:07:14ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013252552810.1515/cdbme-2017-0111cdbme-2017-0111Tissue-specific transformation model for CT-imagesBartelheimer Kathrin0Teske Hendrik1Bendl Rolf2Giske Kristina3Division 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), Germany Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ) Heidelberg, Heilbronn University, Faculty of Computer Science, Germany 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 During radiotherapy, posture changes and volume changing deformations like growing or shrinking tissue result in anatomical deformations. The basis for investigating the impact of such deformations on dose uncertainties, are model-based tools for deformation analysis. In this context, we propose a transformation model based on the information of CT-images, which allows an on-the-fly calculation of voxel volumes. Our model is based on the concept of the chainmail algorithm and describes deformation on voxel-level. With an exemplary input of a set of landmark pairs, generated by a kinematic head-and-neck skeleton model, CT-images (512x512x126 voxel) can be deformed with an on-the-fly volume calculation in less than 70s. The volume calculation delivers insight into model-characteristic volume changes and is a prerequisite for implementing tissue growth and shrinkage.https://doi.org/10.1515/cdbme-2017-0111soft tissue deformationvolume changing deformationstransformation modechainmail algorithm |
| spellingShingle | Bartelheimer Kathrin Teske Hendrik Bendl Rolf Giske Kristina Tissue-specific transformation model for CT-images Current Directions in Biomedical Engineering soft tissue deformation volume changing deformations transformation mode chainmail algorithm |
| title | Tissue-specific transformation model for CT-images |
| title_full | Tissue-specific transformation model for CT-images |
| title_fullStr | Tissue-specific transformation model for CT-images |
| title_full_unstemmed | Tissue-specific transformation model for CT-images |
| title_short | Tissue-specific transformation model for CT-images |
| title_sort | tissue specific transformation model for ct images |
| topic | soft tissue deformation volume changing deformations transformation mode chainmail algorithm |
| url | https://doi.org/10.1515/cdbme-2017-0111 |
| work_keys_str_mv | AT bartelheimerkathrin tissuespecifictransformationmodelforctimages AT teskehendrik tissuespecifictransformationmodelforctimages AT bendlrolf tissuespecifictransformationmodelforctimages AT giskekristina tissuespecifictransformationmodelforctimages |