Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA
Aim: To evaluate the feasibility of fusion of morphologic and functional imaging modalities to facilitate treatment planning, probe placement, probe re-positioning, and early detection of residual disease following radiofrequency ablation (RFA) of cancer. Methods: Multi-modality datasets were sepa...
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Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
2009
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| Schriftenreihe: | Experimental Oncology |
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| Zitieren: | Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA / F.L. Giesel, A. Mehndiratta, J. Locklin, M.J. McAuliffe, S. White, P.L. Choyke, M.V. Knopp, B.J. Wood, U. Haberkorn, H. von Tengg-Kobligk // Experimental Oncology. — 2009. — Т. 31, № 2. — С. 106-114. — Бібліогр.: 41 назв. — англ. |
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irk-123456789-1357042018-06-17T03:07:14Z Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA Giesel, F.L. Mehndiratta, A. Locklin, J. McAuliffe, M.J. White, S. Choyke, P.L. Knopp, M.V. Wood, B.J. Haberkorn, U. von Tengg-Kobligk, H. Original contributions Aim: To evaluate the feasibility of fusion of morphologic and functional imaging modalities to facilitate treatment planning, probe placement, probe re-positioning, and early detection of residual disease following radiofrequency ablation (RFA) of cancer. Methods: Multi-modality datasets were separately acquired that included functional (FDG-PET and DCE-MRI) and standard morphologic studies (CT and MRI). Different combinations of imaging modalities were registered and fused prior to, during, and following percutaneous image-guided tumor ablation with radiofrequency. Different algorithms and visualization tools were evaluated for both intra-modality and inter-modality image registration using the software MIPAV (Medical Image Processing, Analysis and Visualization). Semi-automated and automated registration algorithms were used on astandard PC workstation: 1) landmark-based least-squares rigid registration, 2) landmark-based thin-plate spline elastic registration, and 3) automatic voxel-similarity, affine registration. Results: Intra- and inter-modality image fusion were successfully performed prior to, during and after RFA procedures. Fusion of morphologic and functional images provided a useful view of the spatial relationship of lesion structure and functional significance. Fused axial images and segmented three-dimensional surface models were used for treatment planning and post-RFA evaluation, to assess potential for optimizing needle placement during procedures. Conclusion: Fusion of morphologic and functional images is feasible before, during and after radiofrequency ablation of tumors in abdominal organs. For routine use, the semi-automated registration algorithms may be most practical. Image fusion may facilitate interventional procedures like RFA and should be further evaluated. 2009 Article Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA / F.L. Giesel, A. Mehndiratta, J. Locklin, M.J. McAuliffe, S. White, P.L. Choyke, M.V. Knopp, B.J. Wood, U. Haberkorn, H. von Tengg-Kobligk // Experimental Oncology. — 2009. — Т. 31, № 2. — С. 106-114. — Бібліогр.: 41 назв. — англ. 1812-9269 http://dspace.nbuv.gov.ua/handle/123456789/135704 en Experimental Oncology Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| topic |
Original contributions Original contributions |
| spellingShingle |
Original contributions Original contributions Giesel, F.L. Mehndiratta, A. Locklin, J. McAuliffe, M.J. White, S. Choyke, P.L. Knopp, M.V. Wood, B.J. Haberkorn, U. von Tengg-Kobligk, H. Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA Experimental Oncology |
| description |
Aim: To evaluate the feasibility of fusion of morphologic and functional imaging modalities to facilitate treatment planning, probe placement,
probe re-positioning, and early detection of residual disease following radiofrequency ablation (RFA) of cancer. Methods: Multi-modality datasets
were separately acquired that included functional (FDG-PET and DCE-MRI) and standard morphologic studies (CT and MRI). Different
combinations of imaging modalities were registered and fused prior to, during, and following percutaneous image-guided tumor ablation with
radiofrequency. Different algorithms and visualization tools were evaluated for both intra-modality and inter-modality image registration using
the software MIPAV (Medical Image Processing, Analysis and Visualization). Semi-automated and automated registration algorithms were used
on astandard PC workstation: 1) landmark-based least-squares rigid registration, 2) landmark-based thin-plate spline elastic registration, and
3) automatic voxel-similarity, affine registration. Results: Intra- and inter-modality image fusion were successfully performed prior to, during
and after RFA procedures. Fusion of morphologic and functional images provided a useful view of the spatial relationship of lesion structure and
functional significance. Fused axial images and segmented three-dimensional surface models were used for treatment planning and post-RFA
evaluation, to assess potential for optimizing needle placement during procedures. Conclusion: Fusion of morphologic and functional images
is feasible before, during and after radiofrequency ablation of tumors in abdominal organs. For routine use, the semi-automated registration
algorithms may be most practical. Image fusion may facilitate interventional procedures like RFA and should be further evaluated. |
| format |
Article |
| author |
Giesel, F.L. Mehndiratta, A. Locklin, J. McAuliffe, M.J. White, S. Choyke, P.L. Knopp, M.V. Wood, B.J. Haberkorn, U. von Tengg-Kobligk, H. |
| author_facet |
Giesel, F.L. Mehndiratta, A. Locklin, J. McAuliffe, M.J. White, S. Choyke, P.L. Knopp, M.V. Wood, B.J. Haberkorn, U. von Tengg-Kobligk, H. |
| author_sort |
Giesel, F.L. |
| title |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA |
| title_short |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA |
| title_full |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA |
| title_fullStr |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA |
| title_full_unstemmed |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA |
| title_sort |
image fusion using ct, mri and pet for treatment planning, navigation and follow up in percutaneous rfa |
| publisher |
Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України |
| publishDate |
2009 |
| topic_facet |
Original contributions |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/135704 |
| citation_txt |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA / F.L. Giesel, A. Mehndiratta, J. Locklin, M.J. McAuliffe, S. White, P.L. Choyke, M.V. Knopp, B.J. Wood, U. Haberkorn, H. von Tengg-Kobligk // Experimental Oncology. — 2009. — Т. 31, № 2. — С. 106-114. — Бібліогр.: 41 назв. — англ. |
| series |
Experimental Oncology |
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2025-07-09T23:56:54Z |
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2025-07-09T23:56:54Z |
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