The combined effect of spatial compounding and nonlinear filtering on the speckle reduction in ultrasound images.
Recently, a spatial compounding ultrasound imaging method was presented that utilizes a conventional 64-element phased array transducer with two unfocused pistons, each placed at one of the sides of the phased array transducer. This method is augmented here by inclusion of nonlinear filtering of the compounded images. The combined effects of the specific spatial compounding and nonlinear filtering on speckle reduction in the generated ultrasound images are studied and evaluated in two stages: First, the image quality is studied when nonlinear filtering is used as part of the spatial compounding. The study is performed by simulations using the Field II program, by processing several B-mode images of a kidney. The second stage compares the results obtained by the simulations to those obtained by in vitro laboratory experiments. Five different compounding strategies and two nonlinear filters, Gaussian and anisotropic diffusion, are investigated and evaluated in terms of image quality parameters-contrast and signal-to-noise ratio. It is shown that the combination of "averaging+nonlinear Gaussian filtering" produces the greatest improvement of image quality. When compared to a conventional phased array imaging system, the spatial compounding method that includes the conventional 64-element phased array transducer with two unfocused pistons, and employs the "averaging+nonlinear Gaussian filtering" strategy, obtains improvement in SNR that has reached 334%. Thus, though this method necessitates a somewhat wider probe, it produces significantly improved images.
Adam
Dan
D
Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel. dan@bm.technion.ac.il
Beilin-Nissan
Simona
S
Friedman
Zvi
Z
Behar
Vera
V
D003198:Computer Simulation; D003287:Contrast Media; D005374:Filtration / Q000295:instrumentation; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods; D007091:Image Processing, Computer-Assisted; D007668:Kidney / Q000000981:diagnostic imaging; D007674:Kidney Diseases / Q000000981:diagnostic imaging; D052177:Kidney Diseases, Cystic / Q000000981:diagnostic imaging; D017711:Nonlinear Dynamics; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D014159:Transducers; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods*
D003287:Contrast Media