Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal
This commentary examines Topological Data Analysis (TDA) in radiology imaging, highlighting its revolutionary potential in medical image interpretation. TDA, which is grounded in mathematical topology, provides novel insights into complex, high-dimensional radiological data through persistent homolo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Tomography |
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| Online Access: | https://www.mdpi.com/2379-139X/11/1/6 |
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| author | Yashbir Singh Emilio Quaia |
| author_facet | Yashbir Singh Emilio Quaia |
| author_sort | Yashbir Singh |
| collection | DOAJ |
| description | This commentary examines Topological Data Analysis (TDA) in radiology imaging, highlighting its revolutionary potential in medical image interpretation. TDA, which is grounded in mathematical topology, provides novel insights into complex, high-dimensional radiological data through persistent homology and topological features. We explore TDA’s applications across medical imaging domains, including tumor characterization, cardiovascular imaging, and COVID-19 detection, where it demonstrates 15–20% improvements over traditional methods. The synergy between TDA and artificial intelligence presents promising opportunities for enhanced diagnostic accuracy. While implementation challenges exist, TDA’s ability to uncover hidden patterns positions it as a transformative tool in modern radiology. |
| format | Article |
| id | doaj-art-b978f882fbdf4f69a1397c7e530651fb |
| institution | Kabale University |
| issn | 2379-1381 2379-139X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tomography |
| spelling | doaj-art-b978f882fbdf4f69a1397c7e530651fb2025-01-24T13:50:52ZengMDPI AGTomography2379-13812379-139X2025-01-01111610.3390/tomography11010006Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic ArsenalYashbir Singh0Emilio Quaia1Department of Radiology, Mayo Clinic, Rochester, MN 55905, USADepartment of Radiology, University of Padova, 35127 Padova, ItalyThis commentary examines Topological Data Analysis (TDA) in radiology imaging, highlighting its revolutionary potential in medical image interpretation. TDA, which is grounded in mathematical topology, provides novel insights into complex, high-dimensional radiological data through persistent homology and topological features. We explore TDA’s applications across medical imaging domains, including tumor characterization, cardiovascular imaging, and COVID-19 detection, where it demonstrates 15–20% improvements over traditional methods. The synergy between TDA and artificial intelligence presents promising opportunities for enhanced diagnostic accuracy. While implementation challenges exist, TDA’s ability to uncover hidden patterns positions it as a transformative tool in modern radiology.https://www.mdpi.com/2379-139X/11/1/6medical imagingtopological data analysisradiologymathematicsartificial intelligence |
| spellingShingle | Yashbir Singh Emilio Quaia Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal Tomography medical imaging topological data analysis radiology mathematics artificial intelligence |
| title | Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal |
| title_full | Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal |
| title_fullStr | Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal |
| title_full_unstemmed | Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal |
| title_short | Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal |
| title_sort | unraveling the invisible topological data analysis as the new frontier in radiology s diagnostic arsenal |
| topic | medical imaging topological data analysis radiology mathematics artificial intelligence |
| url | https://www.mdpi.com/2379-139X/11/1/6 |
| work_keys_str_mv | AT yashbirsingh unravelingtheinvisibletopologicaldataanalysisasthenewfrontierinradiologysdiagnosticarsenal AT emilioquaia unravelingtheinvisibletopologicaldataanalysisasthenewfrontierinradiologysdiagnosticarsenal |