DocumentCode :
1620628
Title :
Image Registration for Breast Imaging: A Review
Author :
Yujun Guo ; Suri, J. ; Sivaramakrishna, R.
Author_Institution :
Dept. of Comput. Sci., Kent State Univ., OH
fYear :
2006
Firstpage :
3379
Lastpage :
3382
Abstract :
Breast cancer is the most common type of cancer in women worldwide. About ten percent of women are confronted with breast cancer in their lives. Breast cancer can be most efficiently treated if detected at an early sage. Imaging of the breast can be accomplished using several modalities such as: X-ray, MRI, CT, ultrasound, and now molecular imaging. Image registration plays a critical role in breast imaging. It provides aid to better visualization of lesions on bilateral or temporal X-ray mammograms, or in the fusion of different modalities acquired using different principles of physics. The non-rigid, inhomogeneous, anisotropic and temporally changing nature of breast tissue make breast image registration a challenging task. This paper presents an overview of the current state-of-the-art in the breast image registration techniques. Methods are classified according to the modalities involved in the registration process. Intra-modality registration techniques focus on X-ray mammogram registration, while inter-modality techniques will cover the registration of X-ray with other modality. Validation of breast registration methods is also discussed
Keywords :
biological organs; cancer; diagnostic radiography; image registration; mammography; medical image processing; reviews; CT; MRI; X-ray; bilateral X-ray mammograms; breast cancer; breast imaging; image fusion; image registration; intramodality registration; lesions; molecular imaging; review; temporal X-ray mammograms; ultrasound; Breast cancer; Cancer detection; Computed tomography; Image registration; Magnetic resonance imaging; Molecular imaging; Optical imaging; Ultrasonic imaging; Visualization; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1617202
Filename :
1617202
Link To Document :
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