An anatomically oriented breast coordinate system for mammogram analysis
- PMID: 21609879
- DOI: 10.1109/TMI.2011.2155082
An anatomically oriented breast coordinate system for mammogram analysis
Abstract
We have developed a breast coordinate system that is based on breast anatomy to register female breasts into a common coordinate frame in 2-D mediolateral (ML) or mediolateral oblique (MLO) view mammograms. The breasts are registered according to the location of the pectoral muscle and the nipple and the shape of the breast boundary because these are the most robust features independent of the breast size and shape. On the basis of these landmarks, we have constructed a nonlinear mapping between the parameter frame and the breast region in the mammogram. This mapping makes it possible to identify the corresponding positions and orientations among all of the ML or MLO mammograms, which facilitates an implicit use of the registration, i.e., no explicit image warping is needed. We additionally show how the coordinate transform can be used to extract Gaussian derivative features so that the feature positions and orientations are registered and extracted without nonlinearly deforming the images. We use the proposed breast coordinate transform in a cross-sectional breast cancer risk assessment study of 490 women, in which we attempt to learn breast cancer risk factors from mammograms that were taken prior to when the breast cancer became visible to a radiologist. The coordinate system provides both the relative position and orientation information on the breast region from which the features are derived. In addition, the coordinate system can be used in temporal studies to pinpoint anatomically equivalent locations between the mammograms of each woman and among the mammograms of all of the women in the study. The results of the cross-sectional study show that the classification into cancer and control groups can be improved by using the new coordinate system, compared to other systems evaluated. Comparisons were performed using the area-under-the-receiver-operating-characteristic-curve score. In general, the new coordinate system makes an accurate anatomical registration of breasts possible, which suggests its wide applicability wherever 2-D mammogram registration is required.
© 2011 IEEE
Similar articles
-
Pectoral muscle segmentation: a review.Comput Methods Programs Biomed. 2013 Apr;110(1):48-57. doi: 10.1016/j.cmpb.2012.10.020. Epub 2012 Dec 25. Comput Methods Programs Biomed. 2013. PMID: 23270962 Review.
-
Mammography image quality: model for predicting compliance with posterior nipple line criterion.Eur J Radiol. 2011 Dec;80(3):713-8. doi: 10.1016/j.ejrad.2010.06.026. Epub 2010 Jul 10. Eur J Radiol. 2011. PMID: 20621431
-
Computerized nipple identification for multiple image analysis in computer-aided diagnosis.Med Phys. 2004 Oct;31(10):2871-82. doi: 10.1118/1.1800713. Med Phys. 2004. PMID: 15543797 Free PMC article. Clinical Trial.
-
Automatic pectoral muscle segmentation on mediolateral oblique view mammograms.IEEE Trans Med Imaging. 2004 Sep;23(9):1129-40. doi: 10.1109/TMI.2004.830529. IEEE Trans Med Imaging. 2004. PMID: 15377122
-
Registration and difference analysis of corresponding mammogram images.Med Image Anal. 1999 Jun;3(2):103-18. doi: 10.1016/s1361-8415(99)80001-2. Med Image Anal. 1999. PMID: 10711993 Review.
Cited by
-
A two-step deep learning method for 3DCT-2DUS kidney registration during breathing.Sci Rep. 2023 Aug 8;13(1):12846. doi: 10.1038/s41598-023-40133-5. Sci Rep. 2023. PMID: 37553480 Free PMC article.
-
Prognostic potential of a voxelwise invasion risk map of nasopharyngeal carcinoma based on a coordinate system of the nasopharynx.Quant Imaging Med Surg. 2023 Feb 1;13(2):982-998. doi: 10.21037/qims-22-744. Epub 2023 Jan 5. Quant Imaging Med Surg. 2023. PMID: 36819252 Free PMC article.
-
Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data.Biometrics. 2023 Jun;79(2):1359-1369. doi: 10.1111/biom.13611. Epub 2022 Mar 15. Biometrics. 2023. PMID: 34854477 Free PMC article.
-
Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment.Breast Cancer Res. 2016 Sep 20;18(1):91. doi: 10.1186/s13058-016-0755-8. Breast Cancer Res. 2016. PMID: 27645219 Free PMC article. Review.
-
Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms.Int J Comput Assist Radiol Surg. 2013 Jul;8(4):527-45. doi: 10.1007/s11548-012-0793-3. Epub 2012 Sep 30. Int J Comput Assist Radiol Surg. 2013. PMID: 23054747
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical