Christian Graff1, Eric W. Clarkson2,
Maria I. Altbach2
1Division of Imaging and Applied
Math/OSEL/CDRH, U. S. Food and Drug Administration, Silver Spring, MD, United
States; 2Department of Radiology, University of Arizona, Tucson,
AZ, United States
Classification
of lesions as benign or malignant is an important imaging task. In liver, transverse relaxation time (T2)
can be used as a classifier. Recently
a radial fast spin-echo technique has been developed to obtain T2 estimates
within a single breath-hold during which under-sampled radial k-space lines
are acquired. The degree of
under-sampling in this technique motivated the development of various
post-processing techniques that attempt to enforce prior information to
compensate for data under-sampling. In
this work we evaluate these proposed algorithms through the use of a
receiver-operating-characteristic (ROC) based metric which directly measures
the classification performance of each algorithm.
Keywords