A Portable Measuring System for Cross-Sectional Ultrasound Images Using Spatial Compounding and Edge Sharpening

This paper proposes a compensation for a blurred image caused by misregistration in spatial compounding. The edge sharpening based on morphological operations is applied to the compounded image. A portable measuring system of a cross-sectional ultrasound image is designed for measuring body composition. The system is developed for non-medical applications, for example, measurement of the volume of muscle and subcutaneous fat in lower extremities, upper extremities and abdomen for health care and sports science. A number of partially overlapping images that have been obtained from multiple angles are combined into a single compounded image. In experiment on human abdomen, the image quality was improved in speckle suppression and edge enhancement by using ensemble averaging and morphological edge sharpening. Resulting wide field-of-view image was sufficiently deblurred without emphasizing noise.

[1]  Giovanni Ramponi,et al.  Image enhancement via adaptive unsharp masking , 2000, IEEE Trans. Image Process..

[2]  J. Waterton,et al.  Three-dimensional freehand ultrasound: image reconstruction and volume analysis. , 1997, Ultrasound in medicine & biology.

[3]  Jae Hyun Kim,et al.  US extended-field-of-view imaging technology. , 1997, Radiology.

[4]  Jens E. Wilhjelm,et al.  Visual and quantitative evaluation of selected image combination schemes in ultrasound spatial compound scanning , 2004, IEEE Transactions on Medical Imaging.

[5]  O. Fukuda,et al.  An Implementation of Image Sharpening Based on Morphological Operations for Ubiquitous Echo , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Toshio Tsuji,et al.  Development of practical measuring system for cross-sectional image of human extremities with an ultrasonography , 1998 .

[7]  O Basset,et al.  Spatial compounding in ultrasonic imaging using an articulated scan arm. , 1996, Ultrasound in medicine & biology.

[8]  V. Edgerton,et al.  Physiological cross‐sectional area of human leg muscles based on magnetic resonance imaging , 1992, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[9]  Giovanni Ramponi,et al.  A cubic unsharp masking technique for contrast enhancement , 1998, Signal Process..

[10]  S. D. Silverstein,et al.  Optimum displacement for compound image generation in medical ultrasound , 1988, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[11]  Franck Neycenssac,et al.  Contrast Enhancement Using the Laplacian-of-a-Gaussian Filter , 1993, CVGIP Graph. Model. Image Process..

[12]  F. C. Clark,et al.  The Use of B-Mode Ultrasound for Measuring Subcutaneous Fat Thickness on the Upper Arms. , 1985 .

[13]  Hiroaki Kanehisa,et al.  Site-related Differences in Muscle Loss with Aging , 2003 .

[14]  Gozde Bozdagi Akar,et al.  An adaptive speckle suppression filter for medical ultrasonic imaging , 1995, IEEE Trans. Medical Imaging.

[15]  T. Loupas,et al.  An adaptive weighted median filter for speckle suppression in medical ultrasonic images , 1989 .

[16]  Kiyotaka Fukumoto,et al.  Development of a Measuring System for Cross-sectional Image of Human Extremities Using Ultrasonography , 2006 .

[17]  J P Albright,et al.  Cross-sectional thigh components: computerized tomographic assessment. , 1985, Medicine and science in sports and exercise.

[18]  Tom J MacGillivray,et al.  B-mode compound imaging in mice. , 2006, Ultrasound in medicine & biology.

[19]  M. Tsubai Edge Enhancement of Ultrasonic Images by Morphological Operations Based on Locally Variable Structuring Elements , 2002 .

[20]  Toshihiro Nishimura,et al.  Gray Scale Morphology Using Double Structuring Elements and Their Application to Contrast Enhancement for Ultrasound Images , 2004 .

[21]  G.E. Trahey,et al.  Adaptive imaging and spatial compounding in the presence of aberration , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.