Journal of Pathology Informatics Journal of Pathology Informatics
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SYMPOSIUM - ORIGINAL RESEARCH
Year : 2011  |  Volume : 2  |  Issue : 2  |  Page : 9

Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment


1 Fraunhofer Institute for Applied Information Technology, D-53754 Schloss Birlinghoven, Germany
2 Aalto University School of Science and Technology, FI-00076 Aalto, Finland

Correspondence Address:
Marina Kolesnik
Fraunhofer Institute for Applied Information Technology, D-53754 Schloss Birlinghoven
Germany
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2153-3539.92036

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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.


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