Mr. Dirk Simon Profile

Dirk Simon

at German Cancer Research Ctr

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Proceedings Article | 4 March 2009 Paper

Objective tumour heterogeneity determination in gliomas

Dirk Simon, Jan Klein, Jan Rexilius, Bram Stieltjes

Proceedings Volume 7260, 72601X (2009) https://doi.org/10.1117/12.812521

KEYWORDS: Expectation maximization algorithms, Tissues, Diffusion, Diffusion weighted imaging, Brain, Radiotherapy, Tumor growth modeling, Software development, Statistical modeling, Binary data

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Diffusion weighted imaging (DWI) derived apparent diffusion coefficient (ADC) values are known to correlate inversely to tumour cellularity in brain tumours. The average ADC value increases after successful chemotherapy, radiotherapy or a combination of both and can be therewith used as a surrogate marker for treatment response. Moreover, high and low malignant areas can be distinguished. The main purpose of our project was to develop a software platform that enables the automated delineation and ADC quantification of different tumour sections in a fast, objective, user independent manner. Moreover, the software platform allows for an analysis of the probability density of the ADC in high and low malignant areas in ROIs drawn on conventional imaging to create a ground truth. We tested an Expectation Maximization algorithm with a Gaussian mixture model to objectively determine tumour heterogeneity in gliomas because of yielding Gaussian distributions in the different areas. Furthermore, the algorithm was initialized by seed points in the areas of the gross tumour volume and the data indicated that an automatic initialization should be possible. Thus automated clustering of high and low malignant areas and subsequent ADC determination within these areas is possible yielding reproducible ADC measurements within heterogeneous gliomas.

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