Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography
Complex medical therapies can require a multitude of imaging modalities and are often supervised by a team with different medical backgrounds. This necessitates the conversion of medical data between technical systems and visualizations. In the case of stereotactic arrhythmia radioablation therapy (...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2023-1016 |
| _version_ | 1797646361550651392 |
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| author | Janorschke Christian Xie Jingyang Lu Xinyu Grehn Melanie Blanck Oliver Schweikard Achim |
| author_facet | Janorschke Christian Xie Jingyang Lu Xinyu Grehn Melanie Blanck Oliver Schweikard Achim |
| author_sort | Janorschke Christian |
| collection | DOAJ |
| description | Complex medical therapies can require a multitude of imaging modalities and are often supervised by a team with different medical backgrounds. This necessitates the conversion of medical data between technical systems and visualizations. In the case of stereotactic arrhythmia radioablation therapy (STAR-therapy) of the left ventricle, electroanatomical mapping, ultrasound (US) and computed tomography (CT) are the central imaging modalities that are needed for defining the target volume as well as for the examination and validation pre and post treatment. In the interest of developing a motion management system for STAR-therapy, a way to transfer information and visualizations between these modalities and to compare data from different patients is needed. For this purpose, we present a landmark-based approach for the generation of commonly used ultrasound views and the 17-segment model from cardiac computed tomography (CCT) data. The developed tool can already be used to aid the examination process by extracting function-based views from CT datasets, comparing them to live US imaging, localize CT structures within the 17-segment model or to transfer information like motion or strain data from one modality to the other. In the future, it will be used in the development of a live or predictive management system for cardiac and respiratory motion. |
| first_indexed | 2024-03-11T15:00:52Z |
| format | Article |
| id | doaj.art-80c7b94048b1472e9b8c8b5658eaa533 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-03-11T15:00:52Z |
| publishDate | 2023-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-80c7b94048b1472e9b8c8b5658eaa5332023-10-30T07:58:11ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042023-09-0191616410.1515/cdbme-2023-1016Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed TomographyJanorschke Christian0Xie Jingyang1Lu Xinyu2Grehn Melanie3Blanck Oliver4Schweikard Achim5Institute 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, GermanyDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, GermanyDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, GermanyInstitute for Robotics and Cognitive Systems, Universität zuLübeck, GermanyComplex medical therapies can require a multitude of imaging modalities and are often supervised by a team with different medical backgrounds. This necessitates the conversion of medical data between technical systems and visualizations. In the case of stereotactic arrhythmia radioablation therapy (STAR-therapy) of the left ventricle, electroanatomical mapping, ultrasound (US) and computed tomography (CT) are the central imaging modalities that are needed for defining the target volume as well as for the examination and validation pre and post treatment. In the interest of developing a motion management system for STAR-therapy, a way to transfer information and visualizations between these modalities and to compare data from different patients is needed. For this purpose, we present a landmark-based approach for the generation of commonly used ultrasound views and the 17-segment model from cardiac computed tomography (CCT) data. The developed tool can already be used to aid the examination process by extracting function-based views from CT datasets, comparing them to live US imaging, localize CT structures within the 17-segment model or to transfer information like motion or strain data from one modality to the other. In the future, it will be used in the development of a live or predictive management system for cardiac and respiratory motion.https://doi.org/10.1515/cdbme-2023-1016cardiac computed tomographyultrasound imagery17-segment modelleft ventriclemedical imaging |
| spellingShingle | Janorschke Christian Xie Jingyang Lu Xinyu Grehn Melanie Blanck Oliver Schweikard Achim Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography Current Directions in Biomedical Engineering cardiac computed tomography ultrasound imagery 17-segment model left ventricle medical imaging |
| title | Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography |
| title_full | Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography |
| title_fullStr | Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography |
| title_full_unstemmed | Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography |
| title_short | Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography |
| title_sort | landmark based generation of common ultrasound views and 17 segment model from cardiac computed tomography |
| topic | cardiac computed tomography ultrasound imagery 17-segment model left ventricle medical imaging |
| url | https://doi.org/10.1515/cdbme-2023-1016 |
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