Estimation of Average Speed of Sound Using Deconvolution of Medical Ultrasound Data

• Published in: Ultrasound in medicine & biology Vol. 36; no. 4; pp. 623 - 636
• Main Authors: Shin, Ho-Chul, Prager, Richard, Gomersall, Henry, Kingsbury, Nick, Treece, Graham, Gee, Andrew
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 01.04.2010; Elsevier
• Subjects: Algorithms; Biological and medical sciences; Computer Simulation; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Medical ultrasound; Miscellaneous. Technology; Models, Biological; Motion; Non-blind deconvolution; Phantoms, Imaging; Point-spread function; Radiology; Reproducibility of Results; Sensitivity and Specificity; Sound estimation; Speed of sound; Ultrasonic investigative techniques; Ultrasonography - instrumentation; Ultrasonography - methods; Sound estimation; Point-spread function; Non-blind deconvolution; Speed of sound; Medical ultrasound; Human; Ultrasound imaging; Algorithm; In vitro; Point spread function; Sound velocity; In vivo; Deconvolution; Measurement method; Ultrasound; Biomedical engineering; Test object
• ISSN: 0301-5629; 1879-291X; 1879-291X
• DOI: 10.1016/j.ultrasmedbio.2010.01.011

In diagnostic ultrasound imaging the speed of sound is assumed to be 1540 m/s in soft tissues. When the actual speed is different, the mismatch can lead to distortions in the acquired images and so reduce their clinical value. Therefore, the estimation of the true speed has been pursued not only because it enables image correction but also as a way of tissue characterisation. In this article, we present a novel way to measure the average speed of sound concurrently with performing image enhancement by deconvolution. This simultaneous capability, based on a single acquisition of ultrasound data, has not been reported in previous publications. Our algorithm works by conducting non-blind deconvolution of the reflection data with point-spread functions based on different speeds of sound. Using a search strategy, we select the speed that produces the best-possible restoration. The deconvolution operates on the beamformed uncompressed radio-frequency data, without any need to modify the hardware of the ultrasound machine. A conventional handling of the transducer array is all that is required in the data acquisition part of our proposed method: the data can be collected freehand, unlike most other estimation methods. We have tested our algorithm with simulations, in vitro phantoms with known and unknown speeds and in vivo scans. The estimation error was found to be +0.19 ± 8.90 m/s (mean ± standard deviation) for in vitro in-house phantoms whose speeds were also measured independently. In addition to the speed estimation, our method has also proved to be capable of simultaneously producing a better restoration of ultrasound images than deconvolution by an assumed speed of 1540 m/s, when this assumption is incorrect. (E-mail: hs338@cam.ac.uk)