X-ray digital subtraction angiography (DSA) images frequently suffer from misregistration artifacts. Commercial systems use whole-image manual and semi-automated registration techniques that can be tedious to use. Frequently, patient motion leads to complex artifacts that whole-image registration cannot remove. Available computer technology makes warping registration feasible and timely. We evaluated 6 different warping registration algorithms using 10 subjects. Image quality of subtracted images was evaluated using numerical scoring to specific image quality questions. To aid image quality comparison, images were displayed side-by-side on a single 21-inch monitor. The case mix consisted of 15 DSA images, with significant substraction artifacts, taken from the feet, legs, abdomen, chest and head. In 92% of cases, warping registration dramatically improved subtraction image quality while whole-image translation methods showed little or no improvement. It was also found that the most successful warping method varied from case to case. Based on this study, we propose a combination of warping registration techniques.
Optimization of image quality for DSA warping registration
Medical Imaging 1999: Image Processing ; 1999 ; San Diego,CA,USA
Proc. SPIE ; 3661
1999-05-21
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimal Mass Transport for Registration and Warping
British Library Online Contents | 2004
|Multiresolution spline warping for EPI registration [3813-62]
British Library Conference Proceedings | 1999
|Model Supported Image Registration and Warping for Change Detection in Computer-Aided Diagnosis
British Library Conference Proceedings | 2000
|British Library Online Contents | 1998
|