Computerized image analysis in breast cancer detection and diagnosis

Seminars in Breast Disease

Volumn 5, Issue 4, 2002, Pages 199-210

  Giger, Maryellen L ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BREAST CANCER; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; IMAGE ANALYSIS; MAMMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOLOGIST; REVIEW; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; ULTRASOUND;

EID: 0037783541     PISSN: 10924450     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (76)

1. Giger ML, Huo Z, Kupinski MA, et al: Computer-aided diagnosis in mammography, in Sonka M, Fitzpatrick MJ (eds): Handbook of Medical Imaging, Medical Imaging Processing and Analysis, vol 2. Bellingham, WA, SPIE Press, 2000, p 915-1004
2. Winsberg F, Elkin M, Macy J, et al: Detection of radiographic abnormalities in mammograms by means of optical scanning and computer analysis. Radiology 89:211-215, 1967
3. Giger ML: Computer-aided diagnosis, in Haus AG Yaffe MJ (eds): Technical Aspects of Mammography. Oakbrook, IL, RSNA, 1999, p 249-272
4. Vysborny CJ, Giger ML: Computer vision and artificial intelligence in mammography. AJR 162:699-708, 1994
5. Vyborny CJ, Giger ML, Nishikawa RM: Computer-aided detection and diagnosis. Radiol Clin North Am 38:725-740, 2000
6. Doi K, MacMahon H, Giger ML, Hoffmann K (eds): Computer- aided diagnosis in medical imaging. Proceedings of the 1st International Workshop on Computer-Aided Diagnosis. Elsevier, New York, 1999
7. Giger ML Armato SA, MacMahon H, et al: Computerized detection of lung nodules, in Rickland R (eds): Image Processing Techniques for Tumor Detection. Optical Engineering Series. Marcel Dekker, New York, 2002, pp 243-270
8. Ballard DH, Brown CM: Computer Vision. Englewood Cliffs, NJ, Prentice-Hall, 1982
9. Sonka M, Hlavac V, Boyle R: Image Processing, Analysis, and Machine Vision. Pacific Grove CA, Brooks/Cole, 1999
10. Kupinski MA, Giger ML: Automated seeded lesion segmentation on digital mammograms. IEEE Trans Med Imaging 17:510-517, 1998
11. Kupinski MA, Giger ML: Feature selection with limited data-sets. Med Phys 26:2176-2182, 1999
12. Nishikawa RM, Giger ML, Doi K, et al: Computer-aided detection of clustered microcalcifications on digital mammograms. Med Biol Eng Comput 33:174-178, 1995
13. Polakowski WE, Cournoyer DA, Rogers SK, et al: Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency. IEEE Trans Med Imaging 16:811-819, 1997
14. Bankman IN, Christens-Barry WA, Kim DW, et al: Automated recogniton of microcalcification clusters in mammograms. Proc SPIE 1905:731-738, 1993
15. Kalman BL, Reinus WR, Kwasny SC, et al: Prescreening entire mammograms for masses with artificial neural networks: Preliminary results. Acad Radiol 4:405-414, 1997
16. Kupinski MA, Giger ML: Investigation of regularized neural networks for the computerized detection of mass lesions in digital mammograms. Proc IEEE Eng Med Biol Conf, pp 1336-1339, 1997
17. Nagel RH, Nishikawa RM, Doi K: Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms. Med Phys 25:1502-11506, 1998
18. Mascio LN, Hernandez JM, Logan CM: Automated analysis for microcalcifications in high resolution digital mammograms. Proc SPIE 1905:799-805, 1993
19. Shen L, Rangayyan RM, Desantels JEL: An automatic detection and classification system for calcifications in mammograms. Proc SPIE 1993
20. Cheng HD, Lui YM, Freimanis RI: A novel approach to microcalcification detection using fuzzy logic technique. IEEE Trans Med Imaging 17:442-450, 1998
21. Sahiner B, Chan HP, Petrick N, et al: Design of a high-sensitivity classifier based on a genetic algorithm: Application to computer-aided diagnosis. Phys Med Biol 43:2853-2871, 1998
22. Anastasio MA, Yoshida H, Nagel R, et al: A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. Med Phys 25:1613-1620, 1998
23. Kupinski MA, Giger ML, Doi K: Optimization of neural network inputs with genetic algorithms, in Doi K, Giger ML, Nishikawa RM, Schmidt RA (eds): Digital Mammography 96. New York, Elsevier, 1996, pp 401-404
24. Nishikawa RM: Assessment of the performance of computer-aided diagnosis and computer-aided diagnosis systems. Sem Breast Dis 5:217-222, 2002
25. Giger ML, Vyborny CJ, Schmidt RA: Computerized characterization of mammographic masses: Analysis of spiculation. Cancer Lett 77:201-211, 1994
26. Huo Z, Giger ML, Vyborny CJ, et al: Analysis of spiculation in the computerized classification of mammographic masses. Med Phys 22:1569-1579, 1995
27. Karssemeijer N, te Brake GM: Detection of stellate distortions in mammograms. IEEE Trans Med Imaging 15:611-619, 1996
28. Kegelmeyer WP Jr, Pruneda JM, Bourland PD, et al: Computer-aided mammographic screening for spiculated lesions. Radiology 191:331-337, 1994
29. Sahiner B, Chan HP, Petrick N, et al: Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis. Med Phys 25:516-526, 1998
30. Lai SM, Li X, Bischof WF: On techniques for detecting circumscribed masses in mammograms. IEEE Trans Med Imaging 8:377-386, 1989
31. Yin F-F, Giger ML, Doi K, et al: Computerized detection of masses in digital mammograms: Analysis of bilateral-subtraction images. Med Phys 18:955-963, 1991
32. Kimme C, O'Loughlin BJ, Sklansky J: Automatic detection of suspicious abnormalities in breast radiographs, in Klinger A, et al (eds): Data Structures, Computer Graphics, and Pattern Recognition. New York, Academic Press, 1975, pp 427-447
33. Zouras WK, Giger ML, Lu P, et al: Investigation of a temporal subtraction scheme for computerized detection of breast masses, in Doi et al (eds): Digital Mammography 96. Amsterdam, Elsevier, 1997, pp 411-415
34. Karssemeijer N: Recognition of stellate lesions in digital mammograms, in Gale AC, Astley SM, Dance DR, Cairns AY (eds): Digital Mammography. Amsterdam, Elsevier, 1994, pp 211-219
35. Chan HP, Doi K, Galhorta S, et al: Image feature analysis and Computer-aided diagnosis in digital radiography. 1. Automated detection of microcalcifications in mammography. Med Phys 14:538-548, 1987
36. Chang YH, Zheng B, Good WF, et al: Identification of clustered microcalcifications on digitized mammograms using morphology and topography-based computer-aided detection schemes: A preliminary experiment. Invest Radiol 33:746-751, 1998
37. Ibrahim N, Fujita H, Hara T, et al: Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database. Phys Med Biol 42:2577-2589, 1997
38. Karssemeijer N: A stochastic method for automated detection of microcalcifications in digital mammograms. Information processing in medical imaging. New York, Springer-Verlag, 1991, pp 227-238
39. Jiang Y, Nishikawa RM, Wolverton DE, et al: Automated feature analysis and classification of malignant and benign clustered microcalcifications. Radiology 198:671-678, 1996
40. Chan HP, Doi K, Vyborny CJ, et al: Computer-aided detection of microcalcifications in mammograms: Methodology and prelimilnary clinical study. Invest Radiol 23:664-671, 1988
41. Zhang W, Doi K, Giger ML, et al: An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms. Med Phys 23:595-601, 1996
42. Nishikawa RM, Giger ML, Doi K, et al: Computer-aided detection of clustered microcalcifications: An improved method for grouping detected signals. Med Phys 20:1661-1666, 1993
43. Chan HP, Doi K, Vyborny CJ, et al: Improvements in radiologist's detection of clustered microcalcifications on mammograms: The potential of computer-aided diagnosis. Invest Radiol 25:1102-1110, 1990
44. Feig SA: Clinical evaluation of computer-aided detection in breast cancer screening. Sem Breast Dis 5:223-231, 2002
45. Jiang Y, Nishikawa RM, Schmidt RA, et al: Potential of computer-aided diagnosis to reduce variability in radiologist's interpretations of mammograms depicting microcalcifications. Radiology 220:787-794, 2001
46. Ackerman LV, Gose EE: Breast lesion classification by computer and xeroradiography. Breast Cancer 30:1025-1035, 1972
47. Jiang Y, Nishikawa RM, Schmidt RA, et al: Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6:22-33, 1999
48. Stavros AT, Thickman D, Rapp CL, et al: Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions. Radiology 196:123-134, 1995
49. Giger ML, Al-Hallaq H, Huo Z, et al: Computerized analysis of lesions in us images of the breast. Acad Radiol 6:665-674, 1999
50. Garra BS, Krasner BH, Horii SC, et al: Improving the distinction between benign and malignant breast lesions: The value of sonographic texture analysis. Ultrason Imaging 15:267-285, 1993
51. Chen DR, Chang RF, Huang YL: Computer-aided diagnosis applied to us of solid breast nodules by using neural networks. Radiology 213:407-412, 1999
52. Golub RM, Parsons RE, Sigel B, et al: Differentiation of breast tumors by ultrasonic tissue characterization. J Ultrasound Med 12:601-608, 1993
53. Horsch K, Giger ML, Venta LA, et al: Automatic segmentation of breast lesions on ultrasound. Med Phys 28:1652-1659, 2001
54. Horsch K, Giger ML, Venta LA, et al: Computerized diagnosis of breast lesions on ultrasound. Med Phys 29:157-164, 2002
55. Sahiner B, LeCarpentier GL, Chan HP, et al: Computerized characterization of breast masses using three-dimensional ultrasound images. Proc SPIE 3338:301-312, 1998
56. Gilhuijs KGA, Giger ML, Bick U: Automated analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging. Med Phys 25:1647-1654, 1998
57. Penn AI, Bolinger L, Schnall MD, et al: Discrimination of MR images of breast masses using fractal interpolation function models. Acad Radiol 6:156-163, 1999
58. Huo Z, Giger ML, Vyborny CJ: Computerized analysis of multiple-mammographic views: Potential usefulness of special view mammograms in computer-aided diagnosis. IEEE Trans Med Imaging 20:1285-1292, 2001
59. Chan HP, Sahiner B, Helvie MA, et al: Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: An ROC study. Radiology 212:817-827, 1999
60. Huo Z, Giger ML, Vyborny CJ, et al: Effectiveness of CAD in the diagnosis of breast cancer: An observer study on an independent database of mammograms. Radiology 224:560-568, 2002
61. D'Orsi CJ, Kopans DB: Mammographic feature analysis. Sem Roentgenl 3:204-230, 1993
62. Boyd NF, Lockwood GA, Byng, JW, et al: Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 7:1133-1144, 1998
63. Wolfe JN: Breast patterns as an index of risk for developing breast cancer. AJR 126:1130-1139, 1976
64. Byng JW, Yaffe MJ, Jong RA, et al: Analysis of mammographic density and breast cancer risk from digitized mammograms. RadioGraphics 18:1587, 1998
65. Huo Z, Giger ML, Wolverton DE, et al: Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: Feature selection. Med Phys 27:4-12, 2000
66. Huo Z, Giger ML, Olopade OI, et al: Computerized analysis of digitized mammograms of BRCA1/BRCA2 gone mutation carriers. Radiology 225:519-526, 2002
67. Yaffe MJ, Boyd NF: Mammographic image analysis for breast cancer risk assessment. Sem Breast Dis 5:239-246, 2002
68. Swett HA, Fisher PR, Cohn AI, et al: Expert systemcontrolled image display. Radiology 172:487-493, 1989
69. Sklansky J, Tao EY, Ornes C, et al: A visualized mammographic database in computer-aided diagnosis, in MacMahon H, Giger ML, Hoffman K (eds): Computer-Aided Diagnosis in Medical Imaging. Amsterdam, Elsevier, 1999, pp 215-220
70. Giger ML, Huo Z, Lan L, et al: Intelligent search work station for computer-aided diagnosis. Proc Comp Assisted Radiol Surg (CARS'2000)pp 822-827, 2000
71. Giger ML, Huo Z, Vyborny CJ, et al: Results of an observer study with an intelligent mammographic workstation for CAD. Proc IWDM pp 297-303, 2002
72. Schmidt RA, Nishikawa RM, Osnis RB, et al: Computerized detection of lesions missed by mammography, in Doi et al (eds): Digital Mammography '96. Amsterdam, Elsevier, 1997, pp 105-110
73. Freer TW, Ulissey MJ: Screening mammography with computer-aided detection. Prospective study of 12,860 patients in a community breast center. Radiology 222:781-786: 2001
74. Giger ML: Computer-aided diagnosis in medical imaging - A new era in image interpretation, in Cooper E (ed): Next-Generation Healthcare. London, UK; World Medical Association General Assembly: World Markets Research Centre, 2001, pp 75-79
75. Sonka M, Fitzpatrick MJ (eds): Handbook of Medical Imaging, vol 2. Medical Imaging Processing and Analysis. Bellingham, WA, SPIE, 2000
76. Bankman IN (ed): Handbook of Medical Imaging. New York, Academic Press, 2000