Models and methods for analyzing DCE‐MRI: A review

Abstract

Both nonparametric and parametric approaches for DCE-MRI analysis possess the ability to quantify tissue perfusion.

A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging

“…To overcome these limitations, we decided to extract the maximum number of information from DCE curves, exploiting different approaches in quantifying tissue perfusion [10,20].…”

Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas

“…6 DCE-MR imaging requires an accurate measurement of the vascular input function (VIF) and T1 mapping for absolute quantification of the plasma volume (Vp) and volume transfer constant (K trans ). 7 Recently, phase-based…”

Tissue perfusion rate estimation with compression-based photoacoustic-ultrasound imaging

“…3,17,18 Dynamic contrast-enhanced MRI has show significant potential for discriminating malignant from healthy tissues in a range of cancers including breast cancer and prostate cancer. However, it is expense and the necessity of contrast injections precludes it from widespread screening applications.…”

“…These applications have been applied to cerebral perfusion, myocardial perfusion, and cancer imaging, among others. 18,19 Tissue perfusion has previously been defined as the volumeflow rate of blood exchange per given mass of tissue. In this study, we use a technique similar to ultrasound destructionreperfusion imaging to estimate the so-called refill rate-associated tissue reperfusion.…”