A novel breast ultrasound system for providing coronal images: system development and feasibility study.

Breast ultrasound images along coronal plane contain important diagnosis information. However, conventional clinical 2D ultrasound cannot provide such images. In order to solve this problem, we developed a novel ultrasound system aimed at providing breast coronal images. In this system, a spatial sensor was fixed on an ultrasound probe to obtain the image spatial data. A narrow-band rendering method was used to form coronal images based on B-mode images and their corresponding spatial data. Software was developed for data acquisition, processing, rendering and visualization. In phantom experiments, 20 inclusions with different size (5-20 mm) were measured using this new system. The results obtained by the new method well correlated with those measured by a micrometer (y=1.0147x, R(2)=0.9927). The phantom tests also showed that this system had excellent intra- and inter-operator repeatability (ICC>0.995). Three subjects with breast lesions were scanned in vivo using this new system and a commercially available three-dimensional (3D) probe. The average scanning times for the two systems were 64 s and 74 s, respectively. The results revealed that this new method required shorter scanning time. The tumor sizes measured on the coronal plane provided by the new method were smaller by 5.6-11.9% in comparison with the results of the 3D probe. The phantom tests and preliminary subject tests indicated the feasibility of this system for clinical applications by providing additional information for clinical breast ultrasound diagnosis.

[1]  Purang Abolmaesumi,et al.  Experimental validation of an intrasubject elastic registration algorithm for dynamic-3D ultrasound images. , 2012, Medical physics.

[2]  M Reiser,et al.  First clinical use of a standardized three-dimensional ultrasound for breast imaging. , 2009, European journal of radiology.

[3]  Zhang Ye,et al.  An automatic ROI coding algorithm based on multi-resolution target detection , 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.

[4]  J. Gennisson,et al.  Sol-gel transition in agar-gelatin mixtures studied with transient elastography , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  E. Baez,et al.  Minimal invasive complete excision of benign breast tumors using a three‐dimensional ultrasound‐guided mammotome vacuum device , 2003, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[6]  D Rotten,et al.  Analysis of normal breast tissue and of solid breast masses using three‐dimensional ultrasound mammography , 1999, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[7]  Y. Zheng,et al.  An adaptive squared-distance-weighted interpolation for volume reconstruction in 3D freehand ultrasound. , 2006, Ultrasonics.

[8]  Anne-Marie Dixon.  Breast Ultrasound - How, Why and When , 2007 .

[9]  M. Tozaki,et al.  Accuracy of determining preoperative cancer extent measured by automated breast ultrasonography , 2010, Japanese Journal of Radiology.

[10]  Nico Karssemeijer,et al.  Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation , 2012, IEEE Transactions on Medical Imaging.

[11]  J. Alison Noble,et al.  Nonrigid registration of 3-D free-hand ultrasound images of the breast , 2002, IEEE Transactions on Medical Imaging.

[12]  Y P Zheng,et al.  A new scanning approach for limb extremities using a water bag in freehand 3-D ultrasound. , 2005, Ultrasound in medicine & biology.

[13]  R W Prager,et al.  Rapid calibration for 3-D freehand ultrasound. , 1998, Ultrasound in medicine & biology.

[14]  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.

[15]  Y. P. Huang,et al.  Reliability of measurement of skin ultrasonic properties in vivo: a potential technique for assessing irradiated skin , 2007, 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.

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

[17]  Andrew H. Gee,et al.  Rapid registration for wide field of view freehand three-dimensional ultrasound , 2003, IEEE Transactions on Medical Imaging.

[18]  Ruey-Feng Chang,et al.  3-D ultrasound texture classification using run difference matrix. , 2005, Ultrasound in medicine & biology.

[19]  W. Scott Comulada,et al.  Breast cancer detection: radiologists’ performance using mammography with and without automated whole-breast ultrasound , 2010, European Radiology.

[20]  Does 3-D sonography bring any advantage to noninvasive breast diagnostics? , 2004, Ultrasound in medicine & biology.

[21]  Purang Abolmaesumi,et al.  A real-time intrasubject elastic registration algorithm for dynamic 2-D ultrasound images. , 2009, Ultrasound in medicine & biology.

[22]  Jonathan Loo,et al.  Error-Resilient Scheme for Wavelet Video Codec Using Automatic ROI Detection and Wyner-Ziv Coding Over Packet Erasure Channel , 2010, IEEE Transactions on Broadcasting.

[23]  Frank Lindseth,et al.  Freehand 3D ultrasound reconstruction algorithms--a review. , 2007, Ultrasound in medicine & biology.

[24]  Yong-Ping Zheng,et al.  A semi-automated 3-D annotation method for breast ultrasound imaging: system development and feasibility study on phantoms. , 2014, Ultrasound in medicine & biology.

[25]  Nico Karssemeijer,et al.  Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection , 2007, Journal of magnetic resonance imaging : JMRI.

[26]  A. Jemal,et al.  Cancer statistics, 2012 , 2012, CA: a cancer journal for clinicians.

[27]  Jie Tang,et al.  Comparison of automated breast volume scanning to hand-held ultrasound and mammography , 2012, La radiologia medica.

[28]  Nirav P. Desai,et al.  A simple and novel algorithm for automatic selection of ROI for dental radiograph segmentation , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

[29]  K. Kelly,et al.  Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts , 2009, European Radiology.

[30]  Radhika Sivaramakrishna,et al.  Breast image registration techniques: a survey , 2006, Medical and Biological Engineering and Computing.

[31]  Ruey-Feng Chang,et al.  Computer-Aided Multiview Tumor Detection for Automated Whole Breast Ultrasound , 2014, Ultrasonic imaging.

[32]  Xi Lin,et al.  Analysis of eighty-one cases with breast lesions using automated breast volume scanner and comparison with handheld ultrasound. , 2012, European journal of radiology.

[33]  Andrew H. Gee,et al.  Fast surface and volume estimation from non-parallel cross-sections, for freehand 3-D ultrasound , 1998 .

[34]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[35]  T P O'Neill,et al.  Breast ultrasound. , 1998, The Surgical clinics of North America.

[36]  J. Ophir,et al.  Small breast lesion classification performance using the normalized axial-shear strain area feature. , 2013, Ultrasound in medicine & biology.

[37]  Andrew H. Gee,et al.  Stradx: real-time acquisition and visualization of freehand three-dimensional ultrasound , 1999, Medical Image Anal..

[38]  A. Fenster,et al.  3-D ultrasound imaging: a review , 1996 .

[39]  C. Vyborny,et al.  Breast cancer: importance of spiculation in computer-aided detection. , 2000, Radiology.

[40]  E. Stickeler,et al.  Three‐dimensional ultrasound for the assessment of breast lesions , 2005, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[41]  M Reiser,et al.  Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound. , 2009, European journal of radiology.

[42]  Rachel K. Meeks,et al.  Three-dimensional ultrasound imaging , 2015, Current opinion in anaesthesiology.

[43]  Yi Wang,et al.  Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses. , 2013, Ultrasound in medicine & biology.

[44]  Yi Guo,et al.  Automatic Detection and Classification of Breast Tumors in Ultrasonic Images Using Texture and Morphological Features , 2011, The open medical informatics journal.

[45]  D. Hill,et al.  Non-rigid image registration: theory and practice. , 2004, The British journal of radiology.

[46]  Y. Zheng,et al.  Liver fibrosis assessment using transient elastography guided with real-time B-mode ultrasound imaging: a feasibility study. , 2013, Ultrasound in medicine & biology.

[47]  Tomy Varghese,et al.  Correlation analysis of three-dimensional strain imaging using ultrasound two-dimensional array transducers. , 2008, The Journal of the Acoustical Society of America.

[48]  Andrew H. Gee,et al.  Correction of Probe Pressure Artifacts in Freehand 3D Ultrasound , 2001, MICCAI.

[49]  W. Svensson,et al.  A review of the current status of breast ultrasound , 1997 .

[50]  Andrew H. Gee,et al.  Fast surface and volume estimation from non-parallel cross-sections, for freehand three-dimensional ultrasound , 1999, Medical Image Anal..

[51]  Andrew H. Gee,et al.  Narrow-band volume rendering for freehand 3D ultrasound , 2002, Comput. Graph..

[52]  Nam Chul Kim,et al.  An Automatic Body ROI Determination for 3D Visualization of a Fetal Ultrasound Volume , 2005, KES.

[53]  Sheng-Fang Huang,et al.  Characterization of spiculation on ultrasound lesions , 2004, IEEE Transactions on Medical Imaging.

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

[55]  M. Stokes,et al.  Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses , 1998, Clinical rehabilitation.

[56]  Q H Huang,et al.  Development of a portable 3D ultrasound imaging system for musculoskeletal tissues. , 2005, Ultrasonics.

[57]  K. Shung,et al.  The principle of multidimensional arrays. , 2002, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.

[58]  S Ciatto,et al.  The contribution of ultrasonography to the differential diagnosis of breast cancer. , 1994, Neoplasma.