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Proceedings Paper

Three-dimensional histopathology of lung cancer with multimodality image registration
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Paper Abstract

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.

Paper Details

Date Published: 8 March 2007
PDF: 8 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122F (8 March 2007); doi: 10.1117/12.710597
Show Author Affiliations
Jessica de Ryk, Univ. of Iowa (United States)
Jamie Weydert, Univ. of Iowa (United States)
Gary Christensen, Univ. of Iowa (United States)
Jacqueline Thiesse, Univ. of Iowa (United States)
Eman Namati, Univ. of Iowa (United States)
Joseph Reinhardt, Univ. of Iowa (United States)
Eric Hoffman, Univ. of Iowa (United States)
Geoffrey McLennan, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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