Vessel size measurements in angiograms: a comparison of techniques.
As interventional procedures become more complicated, the need for accurate quantitative vascular information increases. In response to this need, many commercial vendors provide techniques for measurement of vessel sizes, usually based on derivative techniques. In this study, we investigate the accuracy of several techniques used in the measurement of vessel size. Simulated images of vessels having circular cross sections were generated and convolved with various focal spot distributions taking into account the magnification. These vessel images were then convolved with Gaussian image detector line spread functions (LSFs). Additionally, images of a phantom containing vessels with a range of diameters were acquired for the 4.5", 6", 9", and 12" modes of an image intensifier-TV (II-TV) system. Vessel sizes in the images were determined using a first-derivative technique, a second-derivative technique, a linear combination of these two measured sizes, a thresholding technique, a densitometric technique, and a model-based technique. For the same focal spot size, the shape of the focal spot distribution does not affect measured vessel sizes except at large magnifications. For vessels with diameters larger than the full-width-at-half-maximum (FWHM) of the LSF, accurate vessel sizes (errors approximately 0.1 mm) could be obtained by using an average of sizes determined by the first and second derivatives. For vessels with diameters smaller than the FWHM of the LSF, the densitometric and model-based techniques can provide accurate vessel sizes when these techniques are properly calibrated.
Hoffmann
Kenneth R
KR
Toshiba Stroke Research Center, Department of Neurosurgery, University at Buffalo, New York 14214-3025, USA. kh9@acsu.buffalo.edu
Nazareth
Daryl P
DP
Miskolczi
László
L
Gopal
Anant
A
Wang
Zhou
Z
Rudin
Stephen
S
Bednarek
Daniel R
DR
D000792:Angiography / Q000295:instrumentation / Q000379:methods*; D003720:Densitometry; D007091:Image Processing, Computer-Assisted / Q000379:methods; D016011:Normal Distribution; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity