Image stitching for three-pass whole breast ultrasound

Early detection through screening is the best defense against morbidity and mortality from breast cancers. Mammography is the most used screening tool for detecting early breast cancer because it can easily obtain the view of whole breast. However, because the ultrasound images are cross-sectional images, not projection images like mammography, and the ultrasound probe does not fully cover the breast width, it is not a convenient screening tool when adjunct with screening mammography. The physician needs a lot of examination time to perform the breast screening. Recently, some whole breast ultrasound scanning machines are developed. The examination could be performed by an experienced technician. Because the probe width still does not fully cover the breast width, several scanning passes are required to obtain the whole breast image. The physician still cannot have a full view of breast. In this paper, an image stitching technique is proposed to stitch multi-pass images into a full-view image. The produced full-view image can reveal the breast anatomy and assists physicians to reduce extra manual adjustment.

[1]  Raj Shekhar,et al.  Mutual information-based rigid and nonrigid registration of ultrasound volumes , 2002, IEEE Transactions on Medical Imaging.

[2]  Ingvar Andersson,et al.  Long-term effects of mammography screening: updated overview of the Swedish randomised trials , 2002, The Lancet.

[3]  D. Rubens,et al.  Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers , 2001, IEEE Transactions on Medical Imaging.

[4]  Pramod K. Varshney,et al.  Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation , 2003, IEEE Transactions on Medical Imaging.

[5]  Max A. Viergever,et al.  Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.

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

[7]  Raj Shekhar,et al.  Registration of real-time 3-D ultrasound images of the heart for novel 3-D stress echocardiography , 2004, IEEE Transactions on Medical Imaging.

[8]  Nicholas Ayache,et al.  Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information , 2001, IEEE Transactions on Medical Imaging.

[9]  J. Mazziotta,et al.  Rapid Automated Algorithm for Aligning and Reslicing PET Images , 1992, Journal of computer assisted tomography.

[10]  Zhi-Pei Liang,et al.  Further Analysis of Interpolation Effects in Mutual Information-Based Image Registration , 2003, IEEE Trans. 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]  Ming-Feng Hou,et al.  Comparison of breast mammography, sonography and physical examination for screening women at high risk of breast cancer in taiwan. , 2002, Ultrasound in medicine & biology.

[13]  J. Mazziotta,et al.  MRI‐PET Registration with Automated Algorithm , 1993, Journal of computer assisted tomography.

[14]  Richard Ansorge Medical Image Registration: A Quick Win , 2008 .