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Computerized image analysis: Textureâ field orientation method for pectoral muscle identification on MLOâ view mammograms

dc.contributor.authorZhou, Chuan
dc.contributor.authorWei, Jun
dc.contributor.authorChan, Heang‐ping
dc.contributor.authorParamagul, Chintana
dc.contributor.authorHadjiiski, Lubomir M.
dc.contributor.authorSahiner, Berkman
dc.contributor.authorDouglas, Julie A.
dc.date.accessioned2017-01-06T20:45:43Z
dc.date.available2017-01-06T20:45:43Z
dc.date.issued2010-05
dc.identifier.citationZhou, Chuan; Wei, Jun; Chan, Heang‐ping ; Paramagul, Chintana; Hadjiiski, Lubomir M.; Sahiner, Berkman; Douglas, Julie A. (2010). "Computerized image analysis: Textureâ field orientation method for pectoral muscle identification on MLOâ view mammograms." Medical Physics 37(5): 2289-2299.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/134795
dc.publisherAmerican Association of Physicists in Medicine
dc.publisherWiley Periodicals, Inc.
dc.subject.othercomputerâ aided detection
dc.subject.otherMammography
dc.subject.otherMammography
dc.subject.otherEdge enhancement
dc.subject.otherimage enhancement
dc.subject.otherimage texture
dc.subject.othermammography
dc.subject.othermedical image processing
dc.subject.othermuscle
dc.subject.othermammography
dc.subject.otherpectoral muscle trimming
dc.subject.othertexture orientation field analysis
dc.subject.otherMuscles
dc.subject.otherMammography
dc.subject.otherMedical imaging
dc.subject.otherFilm mammography
dc.subject.otherRadiologists
dc.subject.otherImage analysis
dc.subject.otherImage enhancement
dc.subject.otherBand structure
dc.subject.otherMedical image smoothing
dc.subject.otherMedical image quality
dc.titleComputerized image analysis: Textureâ field orientation method for pectoral muscle identification on MLOâ view mammograms
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109â 5618
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109â 5842
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134795/1/mp5576.pdf
dc.identifier.doi10.1118/1.3395576
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceA. R. Rao and B. G. Schunck, â Computing oriented texture fields,â Comput. Vis. Graph. Image Process. (CVGIP): Graphical Models Image Processing 53, 157 â 185 ( 1991 ). 10.1016/1049-9652(91)90059-S -->
dc.identifier.citedreferenceN. Karssemeijer, â Automated classification of parenchymal patterns in mammograms,â Phys. Med. Biol. PHMBA7 --> 0031-9155 --> 43, 365 â 378 ( 1998 ). 10.1088/0031-9155/43/2/011 -->
dc.identifier.citedreferenceR. J. Ferrari, R. M. Rangayyan, J. E. L. Desautels, R. A. Borges, and A. F. Frère, â Automatic identification of the pectoral muscle in mammograms,â IEEE Trans. Med. Imaging ITMID4 --> 0278-0062 --> 23, 232 â 245 ( 2004 ). 10.1109/TMI.2003.823062 -->
dc.identifier.citedreferenceF. Ma, M. Bajger, J. P. Slavotinek, and M. J. Bottema, â Two graph theory based methods for identifying the pectoral muscle in mammograms,â Pattern Recogn. PTNRA8 --> 0031-3203 --> 40, 2592 â 2602 ( 2007 ). 10.1016/j.patcog.2006.12.011 -->
dc.identifier.citedreferenceJ. Suckling, D. R. Dance, E. Moskovic, D. J. Lewis, and S. G. Blacker, â Segmentation of mammograms using multiple linked selfâ organizing neural networks,â Med. Phys. MPHYA6 --> 0094-2405 --> 22, 145 â 152 ( 1995 ). 10.1118/1.597464 -->
dc.identifier.citedreferenceS. K. Kinoshita, P. M. Azevedoâ Marques, R. R. Pereira, Jr., J. A. H. Rodrigues, and R. M. Rangayyan, â Radonâ domain detection of the nipple and the pectoral muscle in mammograms,â J. Digit Imaging 0897-1889 --> 21, 37 â 49 ( 2008 ). 10.1007/s10278-007-9035-6 -->
dc.identifier.citedreferenceS. M. Kwok, R. Chandrasekhar, Y. Attikiouzel, and M. T. Rickard, â Automatic pectoral muscle segmentation on mediolateral oblique view mammograms,â IEEE Trans. Med. Imaging ITMID4 --> 0278-0062 --> 23, 1129 â 1140 ( 2004 ). 10.1109/TMI.2004.830529 -->
dc.identifier.citedreferenceS. R. Aylward, B. M. Hemminger, and E. D. Pisano, â Mixture modeling for digital mammogram display and analysis,â in Digital Mammography, Computational Imaging and Vision Series Vol. 13, edited by N. Karssemeijer et al. ( Kluwer Academic Publishers, Dordrecht, 1998 ), pp. 305 â 312.
dc.identifier.citedreferenceD. Raba, A. Oliver, J. Marti, M. Peracaula, and J. Espunya, â Breast segmentation with pectoral muscle suppression on digital mammograms,â Pattern Recognition and Image Analysis, Lecture Notes in Computer Science Vol. 3523 ( Springerâ Verlag, Berlin Heidelberg, 2005 ), pp. 471 â 478.
dc.identifier.citedreferenceJ. A. Douglas, M. â H. Royâ Gagnon, C. Zhou, B. D. Mitchell, A. R. Shuldiner, H. â P. Chan, and M. A. Helvie, â Mammographic breast densityâ Evidence for genetic correlations with established breast cancer risk factors,â Cancer Epidemiol. Biomarkers Prev. 1055-9965 --> 17, 3509 â 3516 ( 2008 ). 10.1158/1055-9965.EPI-08-0480 -->
dc.identifier.citedreferenceE. W. Dijkstra, â A note on two problems in connexion with graphs,â Numer. Math. NUMMA7 --> 0029-599X --> 1, 269 â 271 ( 1959 ). 10.1007/BF01386390 -->
dc.identifier.citedreferenceD. Comaniciu and P. Meer, â Mean shift: A robust approach toward feature space analysis,â IEEE Trans. Pattern Anal. Mach. Intell. ITPIDJ --> 0162-8828 --> 24, 603 â 619 ( 2002 ). 10.1109/34.1000236 -->
dc.identifier.citedreferenceAmerican College Of Radiology, Breast Imagingâ Reporting and Data System (BI_RADS), 3rd ed. ( American College of Radiology, Reston, 1998 ).
dc.identifier.citedreferenceA. E. Burgess, â On the noise variance of a digital mammography system,â Med. Phys. MPHYA6 --> 0094-2405 --> 31, 1987 â 1995 ( 2004 ). 10.1118/1.1758791 -->
dc.identifier.citedreferenceC. Zhou, H. P. Chan, N. Petrick, M. A. Helvie, M. M. Goodsitt, B. Sahiner, and L. M. Hadjiiski, â Computerized image analysis: Estimation of breast density on mammograms,â Med. Phys. MPHYA6 --> 0094-2405 --> 28, 1056 â 1069 ( 2001 ). 10.1118/1.1376640 -->
dc.identifier.citedreferenceS. Paquerault, N. Petrick, H. P. Chan, B. Sahiner, and M. A. Helvie, â Improvement of computerized mass detection on mammograms: Fusion of twoâ view information,â Med. Phys. MPHYA6 --> 0094-2405 --> 29, 238 â 247 ( 2002 ). 10.1118/1.1446098 -->
dc.identifier.citedreferenceB. Sahiner, H. â P. Chan, L. M. Hadjiiski, M. A. Helvie, C. Paramagul, J. Ge, J. Wei, and C. Zhou, â Joint twoâ view information for computerized detection of microcalcifications on mammograms,â Med. Phys. MPHYA6 --> 0094-2405 --> 33, 2574 â 2585 ( 2006 ). 10.1118/1.2208919 -->
dc.identifier.citedreferenceL. M. Hadjiiski, H. P. Chan, B. Sahiner, N. Petrick, and M. A. Helvie, â Automated registration of breast lesions in temporal pairs of mammograms for interval change analysisâ Local affine transformation for improved localization,â Med. Phys. MPHYA6 --> 0094-2405 --> 28, 1070 â 1079 ( 2001 ). 10.1118/1.1376134 -->
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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