Combining two mammographic projections in a computer aided mass detection method
- PMID: 17441235
- DOI: 10.1118/1.2436974
Combining two mammographic projections in a computer aided mass detection method
Abstract
A method is presented to improve computer aided detection (CAD) results for masses in mammograms by fusing information obtained from two views of the same breast. It is based on a previously developed approach to link potentially suspicious regions in mediolateral oblique (MLO) and craniocaudal (CC) views. Using correspondence between regions, we extended our CAD scheme by building a cascaded multiple-classifier system, in which the last stage computes suspiciousness of an initially detected region conditional on the existence and similarity of a linked candidate region in the other view. We compared the two-view detection system with the single-view detection method using free-response receiver operating characteristic (FROC) analysis and cross validation. The dataset used in the evaluation consisted of 948 four-view mammograms, including 412 cancer cases with a mass, architectural distortion, or asymmetry. A statistically significant improvement was found in the lesion based detection performance. At a false positive (FP) rate of 0.1 FP/image, the lesion sensitivity improved from 56% to 61%. Case based sensitivity did not improve.
Similar articles
-
Needs assessment for next generation computer-aided mammography reference image databases and evaluation studies.Int J Comput Assist Radiol Surg. 2011 Nov;6(6):749-67. doi: 10.1007/s11548-011-0553-9. Epub 2011 Mar 30. Int J Comput Assist Radiol Surg. 2011. PMID: 21448711 Review.
-
A review of automatic mass detection and segmentation in mammographic images.Med Image Anal. 2010 Apr;14(2):87-110. doi: 10.1016/j.media.2009.12.005. Epub 2009 Dec 29. Med Image Anal. 2010. PMID: 20071209 Review.
-
Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views.Med Phys. 2006 Sep;33(9):3203-12. doi: 10.1118/1.2230359. Med Phys. 2006. PMID: 17022213
-
Joint two-view information for computerized detection of microcalcifications on mammograms.Med Phys. 2006 Jul;33(7):2574-85. doi: 10.1118/1.2208919. Med Phys. 2006. PMID: 16898462 Free PMC article.
-
A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.Med Phys. 2004 Nov;31(11):2964-72. doi: 10.1118/1.1806291. Med Phys. 2004. PMID: 15587648
Cited by
-
Automated Assessment of Breast Positioning Quality in Screening Mammography.Cancers (Basel). 2022 Sep 27;14(19):4704. doi: 10.3390/cancers14194704. Cancers (Basel). 2022. PMID: 36230625 Free PMC article.
-
Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images.Phys Med Biol. 2015 Nov 7;60(21):8457-79. doi: 10.1088/0031-9155/60/21/8457. Epub 2015 Oct 14. Phys Med Biol. 2015. PMID: 26464355 Free PMC article.
-
Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme.Phys Med Biol. 2014 Aug 7;59(15):4357-73. doi: 10.1088/0031-9155/59/15/4357. Epub 2014 Jul 17. Phys Med Biol. 2014. PMID: 25029964 Free PMC article.
-
A New GLLD Operator for Mass Detection in Digital Mammograms.Int J Biomed Imaging. 2012;2012:765649. doi: 10.1155/2012/765649. Epub 2012 Dec 22. Int J Biomed Imaging. 2012. PMID: 23365556 Free PMC article.
-
Computer-aided detection of breast masses: four-view strategy for screening mammography.Med Phys. 2011 Apr;38(4):1867-76. doi: 10.1118/1.3560462. Med Phys. 2011. PMID: 21626920 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous
