A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: II.In vivoresults
نویسندگان
چکیده
منابع مشابه
Blind 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 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 کاملAutomatic determination of arterial input function for estimating tumor microvessel density with dynamic contrast-enhanced MRI in mice model
Introduction Recently, application of DCE-MRI has gained increasing attention for use in drug development in pre-clinical research using mouse models, especially for assessment of angiogenesis for anti-angiogenic drug development (1). In the mouse, the AIF has been manually measured from a large arterial vessel in the center of the left heart ventricle (2). In this case, when the tumor is far f...
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ژورنال
عنوان ژورنال: Physics in Medicine and Biology
سال: 2010
ISSN: 0031-9155,1361-6560
DOI: 10.1088/0031-9155/55/16/012