Acoustic beam anomalies in automated breast imaging

Abstract. In B-mode imaging of the dependent or compressed breast, wave incidence at steep angles can change propagation directions and induce areas of signal dropout. To evaluate the image anomalies in reasonable simulation times, we performed full-wave studies for center frequencies of 1 and 4 MHz. Speed of sound and density of skin, typical coupling gel, and adipose tissue were assigned to the test couplant. Compared with commercial gel, skin-like couplant reduced the dropout area at 1 and 4 MHz by 57.1% and 96.7%, respectively, consistent with a decreased average beam deflection in the breast. Conversely, the adipose-like couplant increased the dropout area from that of simulated commercial gel by 26.5% and 36.7% at 1 and 4 MHz, respectively. In addition, the skin-like couplant resulted in the greatest beam deflection inside the breast among all couplants. The findings could aid the use of three-dimensional simulations to design ultrasound couplants for beam passage through tissue boundaries at steep angles to improve corrections of signal dropout and defocusing and in compound imaging.

[1]  Shahram Vaezy,et al.  Polyacrylamide gel as an acoustic coupling medium for focused ultrasound therapy. , 2003, Ultrasound in medicine & biology.

[2]  E A Sickles,et al.  Malignant breast masses detected only by ultrasound: A retrospective review , 1996, Cancer.

[3]  Hal G. Bingham,et al.  Involvement of nipple and areola in early breast cancer , 1986 .

[4]  J.F. Krucker,et al.  Sound speed estimation using automatic ultrasound image registration , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  Fong Ming Hooi,et al.  Dual sided automated ultrasound system in the mammographic geometry , 2011, 2011 IEEE International Ultrasonics Symposium.

[6]  Liana Watson Appropriate use of breast imaging modalities. , 2012, Radiologic technology.

[7]  James F. Greenleaf,et al.  CLINICAL IMAGING WITH TRANSMISSIVE ULTRASONIC COMPUTERIZED TOMOGRAPHY , 1981 .

[8]  Soo Young Chung,et al.  Differentiating benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional US. , 2006, Radiology.

[9]  Thomas Deffieux,et al.  Quantitative assessment of breast lesion viscoelasticity: initial clinical results using supersonic shear imaging. , 2008, Ultrasound in medicine & biology.

[10]  H. Lynch,et al.  Psychologic Aspects of Cancer Genetic Testing: A Research Update for Clinicians , 1997 .

[11]  N. Duric,et al.  Combining time of flight and diffraction tomography for high resolution breast imaging: initial in vivo results (L). , 2012, The Journal of the Acoustical Society of America.

[12]  Rebecca L. Siegel Mph,et al.  Cancer statistics, 2016 , 2016 .

[13]  R C Chivers,et al.  Ultrasonic attenuation in human tissue. , 1975, Ultrasound in medicine & biology.

[14]  Paul L Carson,et al.  First-arrival traveltime sound speed inversion with a priori information. , 2014, Medical physics.

[15]  Corinne Balleyguier,et al.  Evaluation of Breast Lesions Using Sonographic Elasticity Imaging , 2012, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[16]  F S Foster,et al.  The ultrasound macroscope: initial studies of breast tissue. , 1984, Ultrasonic imaging.

[17]  D. Blackstock Fundamentals of Physical Acoustics , 2000 .

[18]  Pai-Chi Li,et al.  Ultrasonic computed tomography reconstruction of the attenuation coefficient using a linear array , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[19]  Cuiping Li,et al.  Breast Imaging Using Transmission Ultrasound: Reconstructing Tissue Parameters of Sound Speed and Attenuation , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[20]  F L Bookstein,et al.  Assessment of ultrasonic computed tomography in symptomatic breast patients by discriminant analysis. , 1989, Ultrasound in medicine & biology.

[21]  N. Duric,et al.  Novel approach to evaluating breast density utilizing ultrasound tomography. , 2007, Medical physics.

[22]  Xueding Wang,et al.  Automated 3D ultrasound image segmentation to aid breast cancer image interpretation. , 2016, Ultrasonics.

[23]  A. Tucker,et al.  Patterns of breast skin thickness In normal mammograms. , 1982, Clinical radiology.

[24]  D. Borup,et al.  Non-linear inverse scattering: high resolution quantitative breast tissue tomography. , 2012, The Journal of the Acoustical Society of America.

[25]  M. Oelze,et al.  Density imaging using inverse scattering. , 2009, The Journal of the Acoustical Society of America.

[26]  G Y Sandhu,et al.  Frequency domain ultrasound waveform tomography: breast imaging using a ring transducer , 2015, Physics in medicine and biology.

[27]  Hal G. Bingham,et al.  A guide to the frequency of nipple involvement in breast cancer , 1980 .

[28]  N. Duric,et al.  Modification of Kirchhoff migration with variable sound speed and attenuation for acoustic imaging of media and application to tomographic imaging of the breast. , 2011, Medical physics.

[29]  Oliver Kripfgans,et al.  Acoustic attenuation imaging of tissue bulk properties with a priori information. , 2016, The Journal of the Acoustical Society of America.

[30]  Joe LoVetri,et al.  Ultrasound tomography for simultaneous reconstruction of acoustic density, attenuation, and compressibility profiles. , 2015, The Journal of the Acoustical Society of America.

[31]  Evelyn M. Garcia,et al.  Current breast imaging modalities, advances, and impact on breast care. , 2013, Obstetrics and gynecology clinics of North America.

[32]  Oliver D Kripfgans,et al.  Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging. , 2016, Ultrasound in medicine & biology.

[33]  A. Jemal,et al.  Cancer statistics, 2016 , 2016, CA: a cancer journal for clinicians.

[34]  N. Duric,et al.  In vivo breast sound-speed imaging with ultrasound tomography. , 2009, Ultrasound in medicine & biology.

[35]  M. Helvie,et al.  Multi-modality 3D breast imaging with X-Ray tomosynthesis and automated ultrasound , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[36]  A. Giacomini,et al.  Ultrasonic Velocity in Ethanol‐Water Mixtures , 1947 .

[37]  N. Erdoğan,et al.  Effect of age, breast size, menopausal and hormonal status on mammographic skin thickness , 2003, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[38]  Neb Duric,et al.  Sound-speed and attenuation imaging of breast tissue using waveform tomography of transmission ultrasound data , 2007, SPIE Medical Imaging.

[39]  F. Foster,et al.  The Ultrasound Macroscope: Initial Studies of Breast Tissue , 1984 .

[40]  G. Robb,et al.  The Incidence of Occult Nipple-Areola Complex Involvement in Breast Cancer Patients Receiving a Skin-Sparing Mastectomy , 1999, Annals of Surgical Oncology.

[41]  Cuiping Li,et al.  Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography , 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[42]  H. Saunders,et al.  Acoustics: An Introduction to Its Physical Principles and Applications , 1984 .

[43]  K F Etzold,et al.  Differences in the attenuation of ultrasound by normal, benign, and malignant breast tissue , 1976, Journal of clinical ultrasound : JCU.