Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI
نویسندگان
چکیده
منابع مشابه
Automatic selection of arterial input function on dynamic contrast-enhanced MRI images: comparison of different methods
gadolinium images by deconvolution given the arterial input function, AIF(t), and tissue concentration, C(t),: C(t)=CBF٠[AIF(t)⊗R(t)], where R(t) is the tissue residue function. Often AIF is found by manually inspecting tracer concentration maps which is very time consuming and operator dependent. In our study we compare 5 methods of AIF automatic selection, including a novel one. The performan...
متن کاملToward local arterial input functions in dynamic contrast-enhanced MRI.
PURPOSE To present a method for estimating the local arterial input function (AIF) within a dynamic contrast-enhanced MRI scan, based on the alternating minimization with model (AMM) method. MATERIALS AND METHODS This method clusters a subset of data into representative curves, which are then input to the AMM algorithm to return a parameterized AIF and pharmacokinetic parameters. Computer sim...
متن کاملAutomatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment
Dynamic Contrast Enhanced MRI (DCE-MRI) is today one of the most popular methods for tumor assessment. Several pharmacokinetic models have been proposed to analyze DCE-MRI. Most of them depend on an accurate arterial input function (AIF). We propose an automatic and versatile method to determine the AIF. The method has two stages, detection and segmentation, incorporating knowledge about artery...
متن کاملCorrection of arterial input function in dynamic contrast-enhanced MRI of the liver.
PURPOSE To develop a postprocessing method to correct saturation of arterial input function (AIF) in T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for quantification of hepatic perfusion. MATERIALS AND METHODS The saturated AIF is corrected by parameterizing the first pass of the AIF as a smooth function with a single peak and minimizing a least-squares error in f...
متن کاملBlind estimation of the arterial input function in dynamic contrast-enhanced MRI using purity maximization.
Uncertainty in arterial input function (AIF) estimation is one of the major errors in the quantification of dynamic contrast-enhanced MRI. A blind source separation algorithm was proposed to determine the AIF by selecting the voxel time course with maximum purity, which represents a minimal contamination from partial volume effects. Simulations were performed to assess the partial volume effect...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Academic Radiology
سال: 2019
ISSN: 1076-6332
DOI: 10.1016/j.acra.2018.10.018