Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA

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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Veröffentlicht in:Experimental Oncology
Datum:2009
Hauptverfasser: 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.
Format: Artikel
Sprache:English
Veröffentlicht: Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України 2009
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Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/135704
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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.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
id nasplib_isofts_kiev_ua-123456789-135704
record_format dspace
spelling 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.
2018-06-15T14:08:05Z
2018-06-15T14:08:05Z
2009
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
https://nasplib.isofts.kiev.ua/handle/123456789/135704
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.
This work was supported in part by the Intramural Research Program of the NIH. The authors thank Stephen Bacharach, MD, Ingmar Bitter, PhD and Grace Ko, MD for their support.
en
Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
Experimental Oncology
Original contributions
Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA
Article
published earlier
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
title Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA
spellingShingle 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
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
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.
topic Original contributions
topic_facet Original contributions
publishDate 2009
language English
container_title Experimental Oncology
publisher Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
format Article
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.
issn 1812-9269
url https://nasplib.isofts.kiev.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.
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last_indexed 2025-11-27T15:42:55Z
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