SU-E-I-75: A New Method for Prostate Cancer Localization Using Multispectral MRI

Medical Physics
Y GuoY Feng

Abstract

To develop a new method for automatic localization of prostate cancer using multispectral MRI data. Multispectral MRI including MR spectroscopic imaging (MRSI), T2 weighted MRI, diffusion weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, has been used for cancer target localization. The combination of multiple MRI imaging technologies provides more useful information than one single technology alone about prostate cancer and has advantages for target definition in radotherapy treatment and quantitative evaluation of tumor response. However, manual cancer localization using multispectral MRI dataset is a tedious task and prone to inter-/intra-observer variability. Automatic localization methods using multispectral MRI data is highly desired. In this paper, a fuzzy fusion framework for automatically localizing prostate cancer with multispectral MRI data is presented. Firstly, for each kind of MRI images, a membership function is created to calculate the membership-degrees of image elements belonging to cancer region. Secondly, a fuzzy fusion operator is used to fuse different membership- degrees corresponding to the same regions. Lastly, the Result of fusion is further adjusted with fuzzy region growing process, lea...Continue Reading

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