Title :
Automated Correction of Patient Motion and Gray Values Prior to Subtraction in Digitized Angiography
Author :
Venot, Alain ; Leclerc, V.
Abstract :
This paper deals with an automated method for the simultaneous correction of patient motion and gray values prior to subtraction in digitized angiography. The algorithm consists of maximizing the deterministic sign change (DSC) criterion with respect to three registration parameters (two translational shifts and one constant value added to the pixel values of the image with contrast medium). This method is proved to be very efficient to correct for patient motion artifacts and is computationally cheap. Its main advantage is to permit the use of regions of interest which include vascular structures for the registration procedure. This method can be proposed for a routine use on every commercial digitized angiographic system.
Keywords :
Angiography; Biomedical imaging; Fluctuations; Image processing; Image quality; Image registration; Manufacturing automation; Performance evaluation; Pixel; Stochastic processes;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.1984.4307678