Marieke Heisen1, Xiaobing Fan2,
Johannes Buurman3, Bart M. ter Haar Romeny1
1Biomedical Engineering, Eindhoven
University of Technology, Eindhoven, Netherlands; 2Radiology, The
University of Chicago, Chicago, IL, United States; 3Healthcare
Informatics, Philips Healthcare, Best, Netherlands
Quantitative
pharmacokinetic analysis of dynamic contrast enhanced (DCE) MRI clinical data
is important for detection and diagnosis of cancer. For breast imaging, however, data is often
acquired at low temporal resolution to enable high-spatial resolution
coverage of both breasts. The effect
of arterial input functions derived from low temporal resolution data on
estimation of Ktrans and ve was investigated by downsampling high temporal
resolution pre-clinical data in k-space.
The results demonstrate that using a reference tissue AIF extracted
from low temporal resolution data (till T 60 s) is feasible and could be
used to quantitatively analyze DCE-MRI data.