Automated segmentation of mesothelioma volume on CT scan Conference Paper
| Authors: | Zhao, B.; Schwartz, L.; Flores, R.; Liu, F.; Kijewski, P.; Krug, L.; Rusch, V. |
| Editors: | Fitzpatrick, J. M.; Reinhardt, J. M. |
| Title: | Automated segmentation of mesothelioma volume on CT scan |
| Conference Title: | Medical Imaging 2005 - Image Processing |
| 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. |
| Keywords: | three dimensional; tumor volume; algorithms; automation; computerized tomography; medical imaging; tumors; mesothelioma; segmentation; biological organs; computed tomography (ct); image segmentation; therapy response assessment; medical problems |
| Journal Title | Proceedings of SPIE |
| Volume: | 5747 |
| Conference Dates: | 2005 Feb 12 |
| Conference Location: | San Diego, CA |
| ISBN: | 0277-786X |
| Publisher: | SPIE |
| Date Published: | 2005-01-01 |
| Start Page: | 866 |
| Language: | English |
| DOI: | 10.1117/12.594596 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | --- - Progress in Biomedical Optics and Imaging - Proceedings of SPIE - Progr. Biomed. Opt. Imaging Proc. SPIE - "Conference code: 65433" - "Cited By (since 1996): 3" - "Export Date: 24 October 2012" - "Art. No.: 90" - "Sponsors: SPIE" - 13 February 2005 through 17 February 2005 - "Source: Scopus" |
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