NDLI: Improved in vivo abdominal image quality using real-time estimation and correction of wavefront arrival time errors

Content Provider	IEEE Xplore Digital Library
Author	Rigby, K.W. Chalek, C.L. Haider, B.H. Lewandowski, R.S. O'Donnell, M. Smith, L.S. Wildes, D.G.
Copyright Year	2000
Description	Author affiliation: Corp. Res. & Dev., Gen. Electr. Co., Schenectady, NY, USA (Rigby, K.W.)
Abstract	The speed of sound varies with tissue type, yet commercial ultrasound imagers assume it is constant. Sound speed variation in abdominal fat and muscle layers is widely believed to be largely responsible for poor image contrast and resolution in some patients. The simplest model of the abdominal wall assumes that it adds a spatially varying time delay to the ultrasound wavefront. We describe an adaptive imaging system consisting of a GE LOGIQ 700 imager connected to a multi-processor computer. Arrival time errors for each beamforming channel, estimated by correlating each channel signal with the beamsum signal, are used to correct the imager's transmit and receive beamforming time delays at the image frame rate. A multi-row transducer provides two dimensional sampling of wavefront arrival time errors. After beamforming time delay correction, we observe significant improvement in abdominal images of healthy male volunteers, including increased contrast of blood vessels, increased brightness of liver tissue, and improved definition of the renal capsule and splenic boundary.
Starting Page	1645
Ending Page	1653
File Size	3480148
Page Count	9
File Format	PDF
ISBN	0780363655
ISSN	10510117
DOI	10.1109/ULTSYM.2000.921639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Abdomen Image quality Ultrasonic imaging Delay effects Array signal processing Computer errors Muscles Spatial resolution Image resolution
Content Type	Text
Resource Type	Article

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