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...
Gespeichert in:
| Datum: | 2009 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
2009
|
| Schriftenreihe: | Experimental Oncology |
| Schlagworte: | |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/135704 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| 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. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | 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. |
|---|