Computerized analysis of digital subtraction angiography: a tool for quantitative in-vivo vascular imaging.
The purpose of our study was to develop a user-independent computerized tool for the automated segmentation and quantitative assessment of in vivo-acquired digital subtraction angiography (DSA) images. Vessel enhancement was accomplished based on the concept of image structural tensor. The developed software was tested on a series of DSA images acquired from one animal and two human angiogenesis models. Its performance was evaluated against manually segmented images. A receiver's operating characteristic curve was obtained for every image with regard to the different percentages of the image histogram. The area under the mean curve was 0.89 for the experimental angiogenesis model and 0.76 and 0.86 for the two clinical angiogenesis models. The coordinates of the operating point were 8.3% false positive rate and 92.8% true positive rate for the experimental model. Correspondingly for clinical angiogenesis models, the coordinates were 8.6% false positive rate and 89.2% true positive rate and 9.8% false positive rate and 93.8% true positive rate, respectively. A new user-friendly tool for the analysis of vascular networks in DSA images was developed that can be easily used in either experimental or clinical studies. Its main characteristics are robustness and fast and automatic execution.
Department of Medical Physics, School of Medicine, University of Patras, 265 00, Rion, Greece. George.Kagadis@med.upatras.gr
George C
GC
Kagadis
Panagiota
P
Spyridonos
Dimitris
D
Karnabatidis
Athanassios
A
Diamantopoulos
Emmanouil
E
Athanasiadis
Antonis
A
Daskalakis
Konstantinos
K
Katsanos
Dionisios
D
Cavouras
Dimitris
D
Mihailidis
Dimitris
D
Siablis
George C
GC
Nikiforidis
D015901:Angiography, Digital Subtraction / Q000379:methods*; D000818:Animals; D003287:Contrast Media; D004195:Disease Models, Animal; D005188:False Negative Reactions; D005189:False Positive Reactions; D006614:Hindlimb / Q000098:blood supply / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging; D016011:Normal Distribution; D015588:Observer Variation; D012372:ROC Curve; D011817:Rabbits; D011856:Radiographic Image Enhancement / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D013348:Subclavian Artery / Q000000981:diagnostic imaging; D014283:Triiodobenzoic Acids
D003287:Contrast Media; D014283:Triiodobenzoic Acids; C044834:iodixanol