Topological data analysis in medical imaging: current state of the art
Key points 1. Topological data analysis (TDA) provides information on the shape of data. 2. In radiology, the shape of 2D and 3D images contains additional information. 3. TDA can be combined with other applications, such as textural analysis. 4. Persistent homology can provide a visual representati...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-04-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-023-01413-w |
| _version_ | 1797853713485791232 |
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| author | Yashbir Singh Colleen M. Farrelly Quincy A. Hathaway Tim Leiner Jaidip Jagtap Gunnar E. Carlsson Bradley J. Erickson |
| author_facet | Yashbir Singh Colleen M. Farrelly Quincy A. Hathaway Tim Leiner Jaidip Jagtap Gunnar E. Carlsson Bradley J. Erickson |
| author_sort | Yashbir Singh |
| collection | DOAJ |
| description | Key points 1. Topological data analysis (TDA) provides information on the shape of data. 2. In radiology, the shape of 2D and 3D images contains additional information. 3. TDA can be combined with other applications, such as textural analysis. 4. Persistent homology can provide a visual representation of extracted TDA data. |
| first_indexed | 2024-04-09T19:55:10Z |
| format | Article |
| id | doaj.art-5013ced05114450a911321ee1bf90e45 |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-04-09T19:55:10Z |
| publishDate | 2023-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-5013ced05114450a911321ee1bf90e452023-04-03T05:29:50ZengSpringerOpenInsights into Imaging1869-41012023-04-0114111010.1186/s13244-023-01413-wTopological data analysis in medical imaging: current state of the artYashbir Singh0Colleen M. Farrelly1Quincy A. Hathaway2Tim Leiner3Jaidip Jagtap4Gunnar E. Carlsson5Bradley J. Erickson6Mayo ClinicStaticlysm LLCSchool of Medicine, West Virginia UniversityMayo ClinicMayo ClinicDepartment of Mathematics, Stanford UniversityMayo ClinicKey points 1. Topological data analysis (TDA) provides information on the shape of data. 2. In radiology, the shape of 2D and 3D images contains additional information. 3. TDA can be combined with other applications, such as textural analysis. 4. Persistent homology can provide a visual representation of extracted TDA data.https://doi.org/10.1186/s13244-023-01413-wTopological data analysisPersistent homologyMedical imagingTexture landmarks |
| spellingShingle | Yashbir Singh Colleen M. Farrelly Quincy A. Hathaway Tim Leiner Jaidip Jagtap Gunnar E. Carlsson Bradley J. Erickson Topological data analysis in medical imaging: current state of the art Insights into Imaging Topological data analysis Persistent homology Medical imaging Texture landmarks |
| title | Topological data analysis in medical imaging: current state of the art |
| title_full | Topological data analysis in medical imaging: current state of the art |
| title_fullStr | Topological data analysis in medical imaging: current state of the art |
| title_full_unstemmed | Topological data analysis in medical imaging: current state of the art |
| title_short | Topological data analysis in medical imaging: current state of the art |
| title_sort | topological data analysis in medical imaging current state of the art |
| topic | Topological data analysis Persistent homology Medical imaging Texture landmarks |
| url | https://doi.org/10.1186/s13244-023-01413-w |
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