Comparisons of lesion detectability in ultrasound images acquired using time-shift compensation and spatial compounding

The effects of aberration, time-shift compensation, and spatial compounding on the discrimination of positive-contrast lesions in ultrasound b-scan images are investigated using a two-dimensional (2-D) array system and tissue-mimicking phantoms. Images were acquired within an 8.8/spl times/12-mm/sup 2/ field of view centered on one of four statistically similar 4-mm diameter spherical lesions. Each lesion was imaged in four planes offset by successive 45/spl deg/ rotations about the central scan line. Images of the lesions were acquired using conventional geometric focusing through a water path, geometric focusing through a 35-mm thick distributed aberration phantom, and time-shift compensated transmit and receive focusing through the aberration phantom. The views of each lesion were averaged to form sets of water path, aberrated, and time-shift compensated 4:1 compound images and 16:1 compound images. The contrast ratio and detectability index of each image were computed to assess lesion differentiation. In the presence of aberration representative of breast or abdominal wall tissue, time-shift compensation provided statistically significant improvements of contrast ratio but did not consistently affect the detectability index, and spatial compounding significantly increased the detectability index but did not alter the contrast ratio. Time-shift compensation and spatial compounding thus provide complementary benefits to lesion detection.

[1]  J M Kofler,et al.  Improved method for determining resolution zones in ultrasound phantoms with spherical simulated lesions. , 2001, Ultrasound in medicine & biology.

[2]  R. F. Wagner,et al.  Fundamental correlation lengths of coherent speckle in medical ultrasonic images , 1988, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  E L Madsen,et al.  Breast mass detection by US: a phantom study. , 1985, Radiology.

[4]  R C Waag,et al.  Measurements of ultrasonic pulse arrival time and energy level variations produced by propagation through abdominal wall. , 1994, The Journal of the Acoustical Society of America.

[5]  Robert C. Waag,et al.  Distributed aberrators for emulation of ultrasonic pulse distortion by abdominal wall , 2002 .

[6]  R. F. Wagner,et al.  Low Contrast Detectability and Contrast/Detail Analysis in Medical Ultrasound , 1983, IEEE Transactions on Sonics and Ultrasonics.

[7]  Q Zhu,et al.  Wavefront amplitude distribution in the female breast. , 1994, The Journal of the Acoustical Society of America.

[8]  D.-L.D. Liu,et al.  Estimation and correction of ultrasonic wavefront distortion using pulse-echo data received in a two-dimensional aperture , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[9]  T. M. Kolb,et al.  Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. , 2002, Radiology.

[10]  R. F. Wagner,et al.  Uncertainties in estimates of lesion detectability in diagnostic ultrasound. , 1999, The Journal of the Acoustical Society of America.

[11]  R.S. Lewandowski,et al.  Improved in vivo abdominal image quality using real-time estimation and correction of wavefront arrival time errors , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

[12]  R. Waag,et al.  Time-shift estimation and focusing through distributed aberration using multirow arrays , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[14]  B A Porter,et al.  Real-time spatial compound imaging: application to breast, vascular, and musculoskeletal ultrasound. , 2001, Seminars in ultrasound, CT, and MR.

[15]  M O'Donnell,et al.  Phase Aberration Measurements in Medical Ultrasound: Human Studies , 1988, Ultrasonic imaging.

[16]  Jin Kim,et al.  Adaptive ultrasonic imaging using SONOLINE Elegra , 2001 .

[17]  W. Buchberger,et al.  Clinically and mammographically occult breast lesions: detection and classification with high-resolution sonography. , 2000, Seminars in ultrasound, CT, and MR.

[18]  R C Waag,et al.  Measurement and correction of ultrasonic pulse distortion produced by the human breast. , 1995, The Journal of the Acoustical Society of America.

[19]  B. Steinberg,et al.  Wavefront amplitude distortion and image sidelobe levels. I. Theory and computer simulations , 1993, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[20]  P.L. Carson,et al.  Rapid elastic image registration for 3-D ultrasound , 2002, IEEE Transactions on Medical Imaging.

[21]  R. F. Wagner,et al.  Properties of Acoustical Speckle in the Presence of Phase Aberration Part II: Correlation Lengths , 1988, Ultrasonic imaging.

[22]  S. K. Jespersen,et al.  Multi-Angle Compound Imaging , 1998, Ultrasonic imaging.

[23]  Kevin Hughes,et al.  Predicting the survival of patients with breast carcinoma using tumor size , 2002, Cancer.

[24]  D C Sullivan,et al.  Two dimensional ultrasonic beam distortion in the breast: in vivo measurements and effects. , 1992, Ultrasonic imaging.

[25]  S. Huber,et al.  Real-time spatial compound imaging in breast ultrasound. , 2002, Ultrasound in medicine & biology.

[26]  J. Thiran,et al.  Application of Adaptive Image Processing Technique to Real-Time Spatial Compound Ultrasound Imaging Improves Image Quality , 2003, Investigative radiology.

[27]  Robert R. Entrekin,et al.  Real-Time Spatial Compound Imaging: Technical Performance in Vascular Applications , 2002 .

[28]  V. Jackson The role of US in breast imaging. , 1990, Radiology.

[29]  W. Walker,et al.  A comparison of the performance of time-delay estimators in medical ultrasound , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.