Hee Kwon Song1, Yiqun Xue1, Jiangsheng Yu1, Sarah Englander1, Hyunseon C Kang1, Mark a Rosen1
1Department of Radiology,
Pre-contrast signal levels in DCE-MRI datasets are often low due to the short TRs used to achieve high temporal resolution. Since this baseline signal is required to normalize the entire dynamic curve in computing tissue gadolinium concentration, low SNR can cause biases in the measurement of tissue perfusion. Recently, it was shown that the perfusion parameters could be computed more directly using absolute signal differences without the need for conversion to gadolinium concentration. In the current work, the performance of the signal difference method is compared to conventional methodologies for computing tissue perfusion in the presence of various noise levels.