Meeting Banner
Abstract #4066

Histogram Analysis to Evaluate Changes on Parametric Maps: Preliminary Application to Renal BOLD MRI

Anindya Sen1, Lu-Ping Li1, Ujala Bokhary1, Ioannis Koktzoglou1, Pottumarthi V. Prasad1

1Department of Radiology, Northshore University Healthsystem, Evanston, IL, United States

Parametric maps, e.g. T1, T2, ADC (apparent diffusion coefficient) etc. are routinely used to evaluate functional changes in tissue. Regions of interest (ROI) measurements are commonly employed to evaluate the observed changes which may not fully characterize the spatial variations in the measurements inherently present in images. In this preliminary study, we have evaluated a histogram based analysis of R2* maps for renal BOLD MRI. Using centroid to represent the histogram distribution, we show that the displacement in the geometric centroids obtained pre- and post-furosemide could be used as a parametric measure for change.

Keywords

accounts administration allow allows alternate analyses application applications applied avoid board body bold breath captures centroid choice clear clearly commonly comprehensive conceptually consent consider contrast control currently curve custom decay defined delta denote dependent develop displacement distribution distributions easier effectively either equally equations evaluate evaluation evident feasibility field fully functional future generated geometric global gradient grant hand health histogram histograms hods hold included increasingly inherently injection institutional intra intro intuitive investigations kidney kidneys known larger little location logistically making maps masks medulla meter metric national necessary needs note numeric numerical objective operator oxygen paradigm part ping pixel plots position post preliminary propose quantity regional renal represent representation represented response scale scales segment selective significantly simple since slice software spatial studies subject subjectivity subjects suggests suitable supported terms thick together trace transfer trends turn user view visual whole written