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Proceedings Paper

Change detection of lung cancer using image registration and thin-plate spline warping
Author(s): Dawood M. S. Almasslawi; Ehsanollah Kabir
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Paper Abstract

Lung cancer has the lowest survival rate comparing to other types of cancer and determination of the patient's cancer stage is the most vital issue regarding the cancer treatment process. In most cases accurate estimation of the cancer stage is not easy to achieve. The changes in the size of the primary tumor can be detected using image registration techniques. The registration method proposed in this paper uses Normalized Mutual Information metric and Thin-Plate Spline transformation function for the accurate determination of the correspondence between series of the lung cancer Computed Tomography images. The Normalized Mutual Information is used as a metric for the rigid registration of the images to better estimate the global motion of the tissues and the Thin Plate Spline is used to deform the image in a locally supported manner. The Control Points needed for the transformation are extracted semiautomatically. This new approach in change detection of the lung cancer is implemented using the Insight Toolkit. The results from implementing this method on the CT images of 8 patients provided a satisfactory quality for change detection of the lung cancer.

Paper Details

Date Published: 9 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090W (9 July 2011); doi: 10.1117/12.896428
Show Author Affiliations
Dawood M. S. Almasslawi, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Ehsanollah Kabir, Tarbiat Modares Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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