Brain Tumor Growth Analysis Using a Dimensionality Reduction Method
نویسندگان
چکیده
In this paper, analysis of brain tumor growth using a dimensionality reduction method (DRM), i.e., multidimensional scaling (MDS) is presented. The data of one patient’s complete MRI records scanned during his visits in the past two years are used for the analysis. There are ten MRI series, including DTI, for each visit. After registering all series to the corresponding DTI scan at the first visit, the registered images were used to construct a 10-dimensional vector at each pixel. However, it is difficult to visualize and analyze the ten dimensional data set by human eyes. We utilized the MDS algorithm to compress the ten dimensional data to one dimension and visualized the compressed data for analysis. The aim of this paper is to study the feasibility of analysing brain tumor progression using the high dimensional MRI series.
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