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MULTISPECTRAL CO-OCCURRENCE ANALYSIS FOR AUTOMATED TUMOR DETECTION IN METASTATIC MEDULLARY THYROID CARCINOMA

Griffin, Ryan D.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1285101309

Abstract Details

2010, Master of Science, Ohio State University, Electrical and Computer Engineering.
Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE MRI) has been shown to be capable of revealing local microvascular and perfusion properties of tissues. Tumor growth is dependent on local angiogenesis and is often characterised by an increased microvascular density and vascular leakiness. Because of this, DCE MRI has been established as a noninvasive tool for the diagnosis of many types of tumors and is also used to improve the radiologist's ability to delineate tumor from benign tissue. Co-occurrence analysis is a form of statistical analysis that is used to look for patterns in the co-occurrence of local values of different quantitative parameters. By performing a co-occurrence analysis of the data in the different spectral planes, statistical features can be determined that are descriptive of specific regions within the the volume. This thesis investigates the usefulness and robustness of using co-occurrence based analysis of calculated voxelwise pharmacokinetic parameters calculated from volume sets of DCE MRI data to generate inputs to an ANN classfier for identification and deliniation of cancerous lesions.
Bradley Clymer, Dr. (Advisor)
Steffen Sammet, Dr. (Committee Member)
Electrical Engineering
arteficial neural networks; dynamic contrast enhanced; magnetic resonance imaging; multispectral analysis

Recommended Citations

Citations

  • Griffin, R. D. (2010). MULTISPECTRAL CO-OCCURRENCE ANALYSIS FOR AUTOMATED TUMOR DETECTION IN METASTATIC MEDULLARY THYROID CARCINOMA [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285101309

    APA Style (7th edition)

  • Griffin, Ryan. MULTISPECTRAL CO-OCCURRENCE ANALYSIS FOR AUTOMATED TUMOR DETECTION IN METASTATIC MEDULLARY THYROID CARCINOMA. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1285101309.

    MLA Style (8th edition)

  • Griffin, Ryan. "MULTISPECTRAL CO-OCCURRENCE ANALYSIS FOR AUTOMATED TUMOR DETECTION IN METASTATIC MEDULLARY THYROID CARCINOMA." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285101309

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.