Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates
Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2020-3031 |
| _version_ | 1819027591973044224 |
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| author | Çallar Tolga-Can Rueckert Elmar Böttger Sven |
| author_facet | Çallar Tolga-Can Rueckert Elmar Böttger Sven |
| author_sort | Çallar Tolga-Can |
| collection | DOAJ |
| description | Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient’s position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervised and efficient body registration pipeline based on the markerless elastic registration and completion of single-view stereo range images of the body surface with statistical parametric body shape templates. Initial results show a promising representative quality of the models generated through the registration process with submillimetric fitting accuracy and realistic surface morphology, indicating the general feasibility of our approach as an instant body registration method for automated medical and biometric applications. |
| first_indexed | 2024-12-21T05:44:55Z |
| format | Article |
| id | doaj.art-64e9beae0eb941c18ad5ab14ffb30003 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-12-21T05:44:55Z |
| publishDate | 2020-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-64e9beae0eb941c18ad5ab14ffb300032022-12-21T19:14:10ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042020-09-016311912210.1515/cdbme-2020-3031cdbme-2020-3031Efficient Body Registration Using Single-View Range Imaging and Generic Shape TemplatesÇallar Tolga-Can0Rueckert Elmar1Böttger Sven2Institute for Robotics and Cognitive Systems, Universität zu Lübeck, Ratzeburger Allee 160,Lübeck, GermanyInstitute for Robotics and Cognitive Systems, Universität zuLübeck, GermanyInstitute for Robotics and Cognitive Systems, Universität zuLübeck, GermanyComputer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient’s position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervised and efficient body registration pipeline based on the markerless elastic registration and completion of single-view stereo range images of the body surface with statistical parametric body shape templates. Initial results show a promising representative quality of the models generated through the registration process with submillimetric fitting accuracy and realistic surface morphology, indicating the general feasibility of our approach as an instant body registration method for automated medical and biometric applications.https://doi.org/10.1515/cdbme-2020-3031body registrationrange imaging3d modelingcomputer visionmedical roboticsautomation |
| spellingShingle | Çallar Tolga-Can Rueckert Elmar Böttger Sven Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates Current Directions in Biomedical Engineering body registration range imaging 3d modeling computer vision medical robotics automation |
| title | Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates |
| title_full | Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates |
| title_fullStr | Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates |
| title_full_unstemmed | Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates |
| title_short | Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates |
| title_sort | efficient body registration using single view range imaging and generic shape templates |
| topic | body registration range imaging 3d modeling computer vision medical robotics automation |
| url | https://doi.org/10.1515/cdbme-2020-3031 |
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