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Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices
dc.contributor.authorChan, Heang‐ping
dc.contributor.authorWu, Yi‐ta
dc.contributor.authorSahiner, Berkman
dc.contributor.authorWei, Jun
dc.contributor.authorHelvie, Mark A.
dc.contributor.authorZhang, Yiheng
dc.contributor.authorMoore, Richard H.
dc.contributor.authorKopans, Daniel B.
dc.contributor.authorHadjiiski, Lubomir
dc.contributor.authorWay, Ted
dc.date.accessioned2017-01-06T20:49:22Z
dc.date.available2017-01-06T20:49:22Z
dc.date.issued2010-07
dc.identifier.citationChan, Heang‐ping ; Wu, Yi‐ta ; Sahiner, Berkman; Wei, Jun; Helvie, Mark A.; Zhang, Yiheng; Moore, Richard H.; Kopans, Daniel B.; Hadjiiski, Lubomir; Way, Ted (2010). "Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices." Medical Physics 37(7): 3576-3586.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/135014
dc.publisherAmerican Association of Physicists in Medicine
dc.publisherWiley Periodicals, Inc.
dc.subject.otherMedical image reconstruction
dc.subject.otherfeature extraction
dc.subject.otherDigital mammography
dc.subject.otherMammography
dc.subject.otherReconstruction
dc.subject.otherSegmentation
dc.subject.otherimage classification
dc.subject.otherimage reconstruction
dc.subject.otherimage segmentation
dc.subject.otherlearning (artificial intelligence)
dc.subject.othermammography
dc.subject.othermedical image processing
dc.subject.otherpattern clustering
dc.subject.otherdigital breast tomosynthesis
dc.subject.othercomputerâ aided diagnosis
dc.subject.othermass
dc.subject.otherSART
dc.subject.otherMedical imaging
dc.subject.otherMammography
dc.subject.otherImage analysis
dc.subject.otherMedical image segmentation
dc.subject.otherLaser Doppler velocimetry
dc.subject.otherComputer aided diagnosis
dc.subject.otherFilm mammography
dc.subject.otherDigital tomosynthesis mammography
dc.subject.otherImage reconstruction
dc.subject.othercomputerised tomography
dc.titleCharacterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109
dc.contributor.affiliationotherDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/135014/1/mp2570.pdf
dc.identifier.doi10.1118/1.3432570
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceT. W. Way, B. Sahiner, H. -P. Chan, L. Hadjiiski, P. N. Cascade, A. Chughtai, N. Bogot, and E. Kazerooni, â Computer aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features,â Med. Phys. MPHYA6 --> 0094-2405 --> 36, 3086 â 3098 ( 2009 ). 10.1118/1.3140589 -->
dc.identifier.citedreferenceH. P. Chan, Y. T. Wu, B. Sahiner, Y. Zhang, R. H. Moore, D. B. Kopans, L. M. Hadjiiski, and M. A. Helvie, â Digital breast tomosynthesis mammography: Computerized classification of malignant and benign masses,â Med. Phys. MPHYA6 --> 0094-2405 --> 34, 2645 ( 2007 ). 10.1118/1.2761739 -->
dc.identifier.citedreferenceH. P. Chan, Y. T. Wu, B. Sahiner, Y. Zhang, R. H. Moore, D. B. Kopans, M. A. Helvie, L. M. Hadjiiski, and T. Way, â Analysis of mass characteristics on digital breast tomosynthesis (DBT) mammograms: Application to computerâ aided diagnosis,â RSNA Program Book ( The Radiological Society of North America, Oak Brook, 2007 ), p. 315.
dc.identifier.citedreferenceG. J. Palma, G. Peters, S. Muller, and I. Bloch, â Masses classification using fuzzy active contours and fuzzy decision trees,â Proc. SPIE PSISDG --> 0277-786X --> 6915, 691509â 1 â 691509â 11 ( 2008 ).
dc.identifier.citedreferenceH. P. Chan, Y. T. Wu, B. Sahiner, Y. H. Zhang, J. Wei, R. H. Moore, D. B. Kopans, M. A. Helvie, L. Hadjiiski, and T. Way, â Digital tomosynthesis mammography: Comparison of mass classification using 3D slices and 2D projection views,â Proc. SPIE PSISDG --> 0277-786X --> 6915, 691506â 1 â 691506â 6 ( 2008 ). 10.1117/12.770422 -->
dc.identifier.citedreferenceB. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and M. M. Goodsitt, â Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis,â Med. Phys. MPHYA6 --> 0094-2405 --> 25, 516 â 526 ( 1998 ). 10.1118/1.598228 -->
dc.identifier.citedreferenceB. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and L. M. Hadjiiski, â Improvement of mammographic mass characterization using spiculation measures and morphological features,â Med. Phys. MPHYA6 --> 0094-2405 --> 28, 1455 â 1465 ( 2001 ). 10.1118/1.1381548 -->
dc.identifier.citedreferenceD. B. Kopans, â Digital tomosynthesis and other applications,â in Categorical Course in Diagnostic Radiology: Breast Imagingâ Digital Mammography: RSNA Program Book ( The Radiological Society of North America, Oak Brook, 2005 ), p. 130.
dc.identifier.citedreferenceC. E. Metz, B. A. Herman, and J. H. Shen, â Maximumâ likelihood estimation of receiver operating characteristic (ROC) curves from continuouslyâ distributed data,â Stat. Med. 0277-6715 --> 17, 1033 â 1053 ( 1998 ). 10.1002/(SICI)1097-0258(19980515)17:9<1033::AID-SIM784>3.0.CO;2-Z -->
dc.identifier.citedreferenceH. P. Chan, B. Sahiner, R. F. Wagner, and N. Petrick, â Classifier design for computerâ aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers,â Med. Phys. MPHYA6 --> 0094-2405 --> 26, 2654 â 2668 ( 1999 ). 10.1118/1.598805 -->
dc.identifier.citedreferenceL. M. Hadjiiski, B. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and M. N. Gurcan, â Analysis of temporal change of mammographic features: Computerâ aided classification of malignant and benign breast masses,â Med. Phys. MPHYA6 --> 0094-2405 --> 28, 2309 â 2317 ( 2001 ). 10.1118/1.1412242 -->
dc.identifier.citedreferenceM. M. Galloway, â Texture classification using gray level run lengths,â Comput. Graph. Image Process. CGIPBG --> 0146-664X --> 4, 172 â 179 ( 1975 ). 10.1016/S0146-664X(75)80008-6 -->
dc.identifier.citedreferenceB. Sahiner, H. P. Chan, N. Petrick, D. Wei, M. A. Helvie, D. D. Adler, and M. M. Goodsitt, â Image feature selection by a genetic algorithm: Application to classification of mass and normal breast tissue on mammograms,â Med. Phys. MPHYA6 --> 0094-2405 --> 23, 1671 â 1684 ( 1996 ). 10.1118/1.597829 -->
dc.identifier.citedreferenceH. P. Chan, D. Wei, M. A. Helvie, B. Sahiner, D. D. Adler, M. M. Goodsitt, and N. Petrick, â Computerâ aided classification of mammographic masses and normal tissue: Linear discriminant analysis in texture feature space,â Phys. Med. Biol. PHMBA7 --> 0031-9155 --> 40, 857 â 876 ( 1995 ). 10.1088/0031-9155/40/5/010 -->
dc.identifier.citedreferenceL. T. Niklason et al., â Digital tomosynthesis in breast imaging,â Radiology RADLAX --> 0033-8419 --> 205, 399 â 406 ( 1997 ).
dc.identifier.citedreferenceT. Wu, A. Stewart, M. Stanton, T. McCauley, W. Phillips, D. B. Kopans, R. H. Moore, J. W. Eberhard, B. Opsahlâ Ong, L. Niklason, and M. B. Williams, â Tomographic mammography using a limited number of lowâ dose coneâ beam projection images,â Med. Phys. MPHYA6 --> 0094-2405 --> 30, 365 â 380 ( 2003 ). 10.1118/1.1543934 -->
dc.identifier.citedreferenceS. Suryanarayanan, A. Karellas, S. Vedantham, S. P. Baker, S. J. Glick, C. J. D’Orsi, and R. L. Webber, â Evaluation of linear and nonlinear tomosynthetic reconstruction methods in digital mammography,â Acad. Radiol. 1076-6332 --> 8, 219 â 224 ( 2001 ). 10.1016/S1076-6332(03)80530-5 -->
dc.identifier.citedreferenceJ. T. Dobbins and D. J. Godfrey, â Digital xâ ray tomosynthesis: Current state of the art and clinical potential,â Phys. Med. Biol. PHMBA7 --> 0031-9155 --> 48, R65 â R106 ( 2003 ). 10.1088/0031-9155/48/19/R01 -->
dc.identifier.citedreferenceY. Zhang, H. -P. Chan, B. Sahiner, J. Wei, M. M. Goodsitt, L. M. Hadjiiski, J. Ge, and C. Zhou, â A comparative study of limitedâ angle coneâ beam reconstruction methods for breast tomosynthesis,â Med. Phys. MPHYA6 --> 0094-2405 --> 33, 3781 â 3795 ( 2006 ). 10.1118/1.2237543 -->
dc.identifier.citedreferenceM. A. Helvie, M. A. Roubidoux, L. M. Hadjiiski, Y. Zhang, P. L. Carson, and H. -P. Chan, â Tomosynthesis mammography vs conventional mammography: Comparison of breast masses detection and characterization,â RSNA Program Book ( The Radiological Society of North America, Oak Brook, 2007 ), p. 381.
dc.identifier.citedreferenceD. Gur, G. S. Abrams, D. M. Chough, M. A. Ganott, C. M. Hakim, R. L. Perrin, G. Y. Rathfon, J. H. Sumkin, M. L. Zuley, and A. I. Bandos, â Digital breast tomosynthesis: Observer performance study,â AJR, Am. J. Roentgenol. AAJRDX --> 0361-803X --> 193, 586 â 591 ( 2009 ). 10.2214/AJR.08.2031 -->
dc.identifier.citedreferenceH. P. Chan, B. Sahiner, M. A. Helvie, N. Petrick, M. A. Roubidoux, T. E. Wilson, D. D. Adler, C. Paramagul, J. S. Newman, and S. S. Gopal, â Improvement of radiologistsâ characterization of mammographic masses by computerâ aided diagnosis: An ROC study,â Radiology RADLAX --> 0033-8419 --> 212, 817 â 827 ( 1999 ).
dc.identifier.citedreferenceY. Jiang, R. M. Nishikawa, R. A. Schmidt, C. E. Metz, M. L. Giger, and K. Doi, â Improving breast cancer diagnosis with computerâ aided diagnosis,â Acad. Radiol. 1076-6332 --> 6, 22 â 33 ( 1999 ). 10.1016/S1076-6332(99)80058-0 -->
dc.identifier.citedreferenceZ. M. Huo, M. L. Giger, C. J. Vyborny, and C. E. Metz, â Breast cancer: Effectiveness of computerâ aided diagnosisâ Observer study with independent database of mammograms,â Radiology RADLAX --> 0033-8419 --> 224, 560 â 568 ( 2002 ). 10.1148/radiol.2242010703 -->
dc.identifier.citedreferenceL. M. Hadjiiski, H. P. Chan, B. Sahiner, M. A. Helvie, M. Roubidoux, C. Blane, C. Paramagul, N. Petrick, J. Bailey, K. Klein, M. Foster, S. Patterson, D. Adler, A. Nees, and J. Shen, â Improvement of radiologistsâ characterization of malignant and benign breast masses in serial mammograms by computerâ aided diagnosis: An ROC Study,â Radiology RADLAX --> 0033-8419 --> 233, 255 â 265 ( 2004 ). 10.1148/radiol.2331030432 -->
dc.identifier.citedreferenceL. M. Hadjiiski, H. P. Chan, B. Sahiner, M. A. Helvie, M. Roubidoux, C. Blane, C. Paramagul, N. Petrick, J. Bailey, K. Klein, M. Foster, S. Patterson, D. Adler, A. Nees, and J. Shen, â Breast masses: Computerâ aided diagnosis with serial mammograms,â Radiology RADLAX --> 0033-8419 --> 240, 343 â 356 ( 2006 ). 10.1148/radiol.2401042099 -->
dc.identifier.citedreferenceH. P. Chan, J. Wei, B. Sahiner, E. A. Rafferty, T. Wu, M. A. Roubidoux, R. H. Moore, D. B. Kopans, L. M. Hadjiiski, and M. A. Helvie, â Computerized detection of masses on digital tomosynthesis mammogramsâ A preliminary study,â in Proceedings of the Seventh International Workshop on Digital Mammography (IWDM), 2004, pp. 199 â 202.
dc.identifier.citedreferenceI. Reiser, R. M. Nishikawa, M. L. Giger, T. Wu, E. Rafferty, R. H. Moore, and D. B. Kopans, â Computerized detection of mass lesions in digital breast tomosynthesis images using twoâ and three dimensional radial gradient index segmentation,â Technol. Cancer Res. Treat. TCRTBS --> 1533-0346 --> 3, 437 â 441 ( 2004 ).
dc.identifier.citedreferenceH. -P. Chan, J. Wei, B. Sahiner, E. A. Rafferty, T. Wu, M. A. Roubidoux, R. H. Moore, D. B. Kopans, L. M. Hadjiiski, and M. A. Helvie, â Computerâ aided detection system for breast masses on digital tomosynthesis mammogramsâ Preliminary experience,â Radiology RADLAX --> 0033-8419 --> 237, 1075 â 1080 ( 2005 ). 10.1148/radiol.2373041657 -->
dc.identifier.citedreferenceH. -P. Chan, J. Wei, T. Wu, B. Sahiner, E. A. Rafferty, L. M. Hadjiiski, M. A. Helvie, M. A. Roubidoux, R. H. Moore, and D. B. Kopans, â Computerâ aided detection on digital breast tomosynthesis (DBT) mammograms: Dependence on image quality of reconstruction,â RSNA Program Book ( The Radiological Society of North America, Oak Brook, 2005 ), p. 269.
dc.identifier.citedreferenceI. Reiser, R. M. Nishikawa, M. L. Giger, T. Wu, E. A. Rafferty, R. H. Moore, and D. B. Kopans, â Computerized mass detection for digital breast tomosynthesis directly from the projection images,â Med. Phys. MPHYA6 --> 0094-2405 --> 33, 482 â 491 ( 2006 ). 10.1118/1.2163390 -->
dc.identifier.citedreferenceH. P. Chan, J. Wei, Y. H. Zhang, M. A. Helvie, R. H. Moore, B. Sahiner, L. Hadjiiski, and D. B. Kopans, â Computerâ aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches,â Med. Phys. MPHYA6 --> 0094-2405 --> 35, 4087 â 4095 ( 2008 ). 10.1118/1.2968098 -->
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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