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Proceedings Paper

Tumor segmentation of multi-echo MR T2-weighted images with morphological operators
Author(s): W. Torres; M. Martín-Landrove; M. Paluszny; G. Figueroa; G. Padilla
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Paper Abstract

In the present work an automatic brain tumor segmentation procedure based on mathematical morphology is proposed. The approach considers sequences of eight multi-echo MR T2-weighted images. The relaxation time T2 characterizes the relaxation of water protons in the brain tissue: white matter, gray matter, cerebrospinal fluid (CSF) or pathological tissue. Image data is initially regularized by the application of a log-convex filter in order to adjust its geometrical properties to those of noiseless data, which exhibits monotonously decreasing convex behavior. Finally the regularized data is analyzed by means of an 8-dimensional morphological eccentricity filter. In a first stage, the filter was used for the spatial homogenization of the tissues in the image, replacing each pixel by the most representative pixel within its structuring element, i.e. the one which exhibits the minimum total distance to all members in the structuring element. On the filtered images, the relaxation time T2 is estimated by means of least square regression algorithm and the histogram of T2 is determined. The T2 histogram was partitioned using the watershed morphological operator; relaxation time classes were established and used for tissue classification and segmentation of the image. The method was validated on 15 sets of MRI data with excellent results.

Paper Details

Date Published: 27 March 2009
PDF: 9 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594E (27 March 2009); doi: 10.1117/12.811478
Show Author Affiliations
W. Torres, Fundación Instituto de Ingeniería (Venezuela)
Univ. Central de Venezuela (Venezuela)
M. Martín-Landrove, Univ. Central de Venezuela (Venezuela)
Ctr. de Diagnóstico Docente Las Mercedes (Venezuela)
M. Paluszny, Univ. Nacional de Colombia (Colombia)
G. Figueroa, Univ. Central de Venezuela (Venezuela)
G. Padilla, Univ. Central de Venezuela (Venezuela)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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