Improving and Validating a Local Aif Method
نویسندگان
چکیده
Green=FM[C], Black=“FM[localAIF]”, Red=FM[oR], Blue=Tmax[oR]. a) FM vs VTF-delay (MTT=4s, dispersion=0s), b) FM vs VTF-dispersion (MTT=4s, delay=0s), c) FM vs tissue MTT (delay=0s, dispersion=0s). Figure 2: In vivo results from a single patient: Top row: local AIF source voxels. a) method1, b) method2. Middle row: MTT maps. c) global AIF, d) method1, e) method2. Bottom row: Tmax maps. f) global AIF, g) method1, h) method2. a b
منابع مشابه
Designing and Validating a local Model for Managing Natural Disasters in Villages (Case study: Ardabil province); A Mixed Approach
Background and objective: The severity of natural disasters in many rural parts of the country is such that the continuation of the social and economic life of the residents of these areas always faces a crisis. Villages are more vulnerable to natural disasters and hazards due to their traditional structure and texture compared to cities, and every year, natural disasters cause a lot of damage ...
متن کاملAn Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors
Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...
متن کاملLocal Arterial Input Function in Bolus Tracking Using Data Defined Vascular Territories
Introduction: Bolus tracking MRI is a widely used technique for routine clinical assessment of cerebral hemodynamics in acute stroke. It has been shown that dispersion of the arterial input function (AIF) in the feeding arteries introduces systematic errors in the CBF and MTT estimates tending to exaggerate the severity of the perfusion deficit [1]. Dispersion is believed to be particularly fre...
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 کاملTumor Arterial Input Function (AIF) estimation in DCE-MRI studies using a multiple reference tissue method
C. Yang, W. M. Stadler, M. Medved, G. S. Karczmar University of Chicago, Chicago, IL, United States Introduction: Accurate estimation of the arterial input function (AIF) is essential for quantitative analysis of DCE-MRI data. We have previously demonstrated that a common AIF can be estimated from the contrast agent concentration versus time curves (Ct(t)) in two reference tissues with differen...
متن کامل