Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA
Vernadsky National Library of Ukraine
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA
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| Creator |
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. |
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| Subject |
Original contributions
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| 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. |
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| Date |
2018-06-15T14:08:05Z
2018-06-15T14:08:05Z 2009 |
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| Type |
Article
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| Identifier |
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 |
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| Language |
en
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| Relation |
Experimental Oncology
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| Publisher |
Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
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