Abstract #2644

Exploration of BOLD-MRI in Prostate Cancer using Principal Component Analysis

Aravinthan Jegatheesan¹, Michael D. Noseworthy^1,2, Colm Boylan³, Robert Shayegan⁴, John F. MacGregor⁵

¹School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada; ²Electrical & Computer Engineering, McMaster University, Hamilton, Ontario, Canada; ³St. Joseph's Healthcare, Hamilton, Ontario, Canada; ⁴Dept. of Urology, St. Joseph's Healthcare, Hamilton, Ontario, Canada; ⁵Chemical Engineering, McMaster University, Hamilton, Ontario, Canada

Principal component analysis was used to analyze BOLD-MRI of 5 patients with prostate tumors. The analysis attempts to identify the most significant temporal signatures to attempt to differentiate normal and tumor tissue. The results indicate that while the method maybe sensitive to a subset of tumors, it is not robust for detecting all tumors.