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Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment
Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for registration of two-dimensional large-scale histological sections...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312715/ https://www.ncbi.nlm.nih.gov/pubmed/22811965 http://dx.doi.org/10.4103/2153-3539.92036 |
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author | Seise, Matthias Alhonnoro, Tuomas Kolesnik, Marina |
author_facet | Seise, Matthias Alhonnoro, Tuomas Kolesnik, Marina |
author_sort | Seise, Matthias |
collection | PubMed |
description | Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for registration of two-dimensional large-scale histological sections and three-dimensional CT data typically used to guide the RFA intervention. The focus is on the developed interactive methods for reconstruction of the histological volume data by fusion of histological and high-resolution CT (MicroCT) data and registration into CT data based on natural feature points. The framework is evaluated using RFA interventions in a porcine liver and applying medically relevant metrics. The results of registration are within clinically required precision targets; thus the developed methods are suitable for validation of the RFA treatment. |
format | Online Article Text |
id | pubmed-3312715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-33127152012-07-18 Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment Seise, Matthias Alhonnoro, Tuomas Kolesnik, Marina J Pathol Inform Symposium - Original Research Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for registration of two-dimensional large-scale histological sections and three-dimensional CT data typically used to guide the RFA intervention. The focus is on the developed interactive methods for reconstruction of the histological volume data by fusion of histological and high-resolution CT (MicroCT) data and registration into CT data based on natural feature points. The framework is evaluated using RFA interventions in a porcine liver and applying medically relevant metrics. The results of registration are within clinically required precision targets; thus the developed methods are suitable for validation of the RFA treatment. Medknow Publications & Media Pvt Ltd 2012-01-19 /pmc/articles/PMC3312715/ /pubmed/22811965 http://dx.doi.org/10.4103/2153-3539.92036 Text en Copyright: © 2011 Seise M. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Symposium - Original Research Seise, Matthias Alhonnoro, Tuomas Kolesnik, Marina Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title | Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title_full | Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title_fullStr | Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title_full_unstemmed | Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title_short | Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment |
title_sort | interactive registration of 2d histology and 3d ct data for assessment of radiofrequency ablation treatment |
topic | Symposium - Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312715/ https://www.ncbi.nlm.nih.gov/pubmed/22811965 http://dx.doi.org/10.4103/2153-3539.92036 |
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