Medical ultrasound images are often distorted enough to significantly limit
resolution during compounding (i.e., summation of images from multiple vie
ws). A new, volumetric image registration technique has been used successfu
lly to enable high spatial resolution in three-dimensional (3D) spatial com
pounding of ultrasound images. Volumetric ultrasound data were acquired by
scanning a linear matrix array probe in the elevational direction in a foca
l lesion phantom and in a breast in vitro. To obtain partly uncorrelated vi
ews, the volume of interest was scanned at five different transducer tilt a
ngles separated by 4 degrees to 6 degrees. Pairs of separate views were reg
istered by an automatic procedure based on a mutual information metric, usi
ng global full affine and thin-plate spline warping transformations. Regist
ration accuracy was analyzed automatically in the phantom data, and manuall
y in vivo, yielding average registration errors of 0.31 mm and 0.65 mm, res
pectively. In the vicinity of the warping control points, registrations obt
ained with warping transformations were significantly more accurate than fu
ll affine registrations. Compounded images displayed the expected reduction
in speckle noise and increase in contrast-to-noise ratio (CNR), as well as
better delineation of connective tissues and reduced shadowing. Compoundin
g also revealed some apparent low contrast lobulations that were not visibl
e in the single-sweep images. Given expected algorithmic and hardware enhan
cements, nonrigid, image-based registration shows great promise for reducin
g tissue motion and refraction artifacts in 3D spatial compounding. (C) 200
1 World Federation for Ultrasound in Medicine & Biology.