Three-dimensional histopathology of lung cancer with multimodality image registration

de Ryk, Jessica; Weydert, Jamie; Christensen, Gary; Thiesse, Jacqueline; Namati, Eman; Reinhardt, Joseph; Hoffman, Eric; McLennan, Geoffrey

doi:doi:10.1117/12.710597

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Three-dimensional histopathology of lung cancer with multimodality image registration

Proc. SPIE 6512, 65122F (2007); http://dx.doi.org/10.1117/12.710597

Sunday 18 February 2007

San Diego, CA, USA

Medical Imaging 2007: Image Processing

Josien P. W. Pluim, Joseph M. Reinhardt

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Abstract

Jessica de Ryk, Jamie Weydert, Gary Christensen, Jacqueline Thiesse, Eman Namati, Joseph Reinhardt, Eric Hoffman, and Geoffrey McLennan

Univ. of Iowa

Identifying the three-dimensional content of non-small cell lung cancer tumors is a vital step in the pursuit of understanding cancer growth, development and response to treatment. The majority of non-small cell lung cancer tumors are histologically heterogeneous, and consist of the malignant tumor cells, necrotic tumor cells, fibroblastic stromal tissue, and inflammation. Geometric and tissue density heterogeneity are utilized in computed tomography (CT) representations of lung tumors for distinguishing between malignant and benign nodules. However, the correlation between radiolographical heterogeneity and corresponding histological content has been limited. In this study, a multimodality dataset of human lung cancer is established, enabling the direct comparison between histologically identified tissue content and micro-CT representation. Registration of these two datasets is achieved through the incorporation of a large scale, serial microscopy dataset. This dataset serves as the basis for the rigid and non-rigid registrations required to align the radiological and histological data. The resulting comprehensive, three-dimensional dataset includes radio-density, color and cellular content of a given lung tumor. Using the registered datasets, neural network classification is applied to determine a statistical separation between cancerous and non-cancerous tumor regions in micro-CT.

History

Online Mar 08, 2007

Digital Object Identifier

http://dx.doi.org/10.1117/12.710597

Citation

Jessica de Ryk, Jamie Weydert, Gary Christensen, Jacqueline Thiesse, Eman Namati, Joseph Reinhardt, Eric Hoffman and Geoffrey McLennan, "Three-dimensional histopathology of lung cancer with multimodality image registration", Proc. SPIE 6512, 65122F (2007); http://dx.doi.org/10.1117/12.710597