Is Weisskoff model valid for the correction of contrast agent extravasation with combined T1 and T2∗ effects in dynamic susceptibility contrast MRI?

• Published in: Medical physics (Lancaster) 2011-02, Vol.38 (2), p.802-809
• Main Authors: Liu, Ho‐Ling, Wu, Yi‐Ying, Yang, Wei‐Shan, Chen, Chih‐Feng, Lim, Kun‐Eng, Hsu, Yuan‐Yu
• Format: Article
• Language: English
• Subjects: Agent based models; biomedical MRI; Blood brain barrier; blood vessels; Blood Volume; brain; Brain - physiopathology; Brain Neoplasms - diagnosis; Brain Neoplasms - physiopathology; Cancer; cerebral blood volume (CBV); Computer simulation; contrast agent extravasation; Contrast Media; dynamic susceptibility contrast (DSC); Extravasation of Diagnostic and Therapeutic Materials; Haemodynamics; Humans; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; medical computing; Medical image contrast; Medical imaging; Models, Biological; MRI; MRI: anatomic, functional, spectral, diffusion; neurophysiology; physiological models; Reproducibility of Results; Tissues; tumours
• ISSN: 0094-2405; 2473-4209
• DOI: 10.1118/1.3534197

Purpose: The Weisskoff model has been widely applied for correcting theT1 effect of the contrast agent leakage in the measured dynamic susceptibility contrast (DSC)‐MRI signals. This study aimed to modify the Weisskoff model for the inclusion of both T1 and T2 effects of the contrast agent extravasation. Methods: A two‐compartment model was proposed and implemented into the original Weisskoff model to describe the combinedT1 and T2 effects from the contrast agent leakage in the measured DSC‐MRI signals. A computer simulation was performed to evaluate the dependence of T1 versus T2 dominance on imaging parameter, field strength, baseline T1, and severity of the leakage. The modified Weisskoff model was employed to correct the relative cerebral blood volume (rCBV) maps in three patients with brain tumors to demonstrate its use. Results: The resultant equation had the same mathematical form as the original model, but with a different expression for the fitting constantK2. This new parameter can be of either a positive or a negative value. Results of the computer simulation showed more probable T2 dominance with longer TE, higher field strength, shorter baseline T1, and greater extraction of the contrast agent. Clinical data were well fitted by the model, with a positive K2 indicating T1 dominance and underestimated rCBV and a negative K2 indicating T2 dominance and overestimated rCBV. The K2 values of normal‐appearing brain tissues were distributed in a much smaller range than the K2 values of enhancing tumors. The ratios of corrected over uncorrected normalized CBV (nCBV) for gray matter (GM) were in the range between 1.04 and 1.05, meaning that the nCBV remained rather stable before and after correction. The ratios for the tumors were 0.65, 0.42, and 2.81, either much smaller or greater than the ratios for GM. Conclusions: This study proposed a modified Weisskoff model that was able to explain bothT1 and T2 dominant effects of the contrast agent extravasation in DSC‐MRI. Further development is needed to make the K2 parameter a quantitative indicator of the vessel permeability.