Title :
Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound
Author :
Jirik, Radovan ; Soucek, Karel ; Mezl, Martin ; Bartos, Michal ; Drazanova, Eva ; Drafi, Frantisek ; Grossova, Lucie ; Kratochvila, Jiei ; Macic̆ek, Ondr̆ej ; Nylund, Kim ; Hampl, Ales ; Gilja, Odd Helge ; Taxt, Torfinn ; Starcuk, Zenon
Author_Institution :
Inst. of Sci. Instrum., Brno, Czech Republic
Abstract :
This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.
Keywords :
biomedical MRI; biomedical ultrasonics; blood vessels; deconvolution; haemodynamics; haemorheology; medical image processing; permeability; AIF estimation; arterial input function estimation; blind-deconvolution approach; blood flow; dynamic contrast-enhanced MRI; physiological perfusion parameters; preclinical study; quantitative perfusion analysis; rate constant estimation; tissue; ultrasound; vessel permeability; Deconvolution; Estimation; Magnetic resonance imaging; Mathematical model; Mice; Tumors; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944569