Automated segmentation of mesothelioma volume on CT scan

Binsheng Zhao; Lawrence Schwartz; Raja Flores; Fan Liu; Peter Kijewski; Lee Krug; Valerie Rusch

doi:10.1117/12.594596

29 April 2005 Automated segmentation of mesothelioma volume on CT scan

Binsheng Zhao, Lawrence Schwartz, Raja Flores, Fan Liu, Peter Kijewski, Lee Krug, Valerie Rusch

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.594596
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

In mesothelioma, response is usually assessed by computed tomography (CT). In current clinical practice the Response Evaluation Criteria in Solid Tumors (RECIST) or WHO, i.e., the uni-dimensional or the bi-dimensional measurements, is applied to the assessment of therapy response. However, the shape of the mesothelioma volume is very irregular and its longest dimension is almost never in the axial plane. Furthermore, the sections and the sites where radiologists measure the tumor are rather subjective, resulting in poor reproducibility of tumor size measurements. We are developing an objective three-dimensional (3D) computer algorithm to automatically identify and quantify tumor volumes that are associated with malignant pleural mesothelioma to assess therapy response. The algorithm first extracts the lung pleural surface from the volumetric CT images by interpolating the chest ribs over a number of adjacent slices and then forming a volume that includes the thorax. This volume allows a separation of mesothelioma from the chest wall. Subsequently, the structures inside the extracted pleural lung surface, including the mediastinal area, lung parenchyma, and pleural mesothelioma, can be identified using a multiple thresholding technique and morphological operations. Preliminary results have shown the potential of utilizing this algorithm to automatically detect and quantify tumor volumes on CT scans and thus to assess therapy response for malignant pleural mesothelioma.

Citation Download Citation

Binsheng Zhao, Lawrence Schwartz, Raja Flores, Fan Liu, Peter Kijewski, Lee Krug, and Valerie Rusch "Automated segmentation of mesothelioma volume on CT scan", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.594596

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