Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities

Physics in Medicine and Biology

Volumn 58, Issue 6, 2013, Pages 1663-1681

  Chen, Lin ^a   Abbey, Craig K ^b   Boone, John M ^a,c  

^a University of California Davis   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER DETECTION; FRACTAL-DIMENSION VALUE; LESION DETECTABILITY; PARENCHYMAL PATTERNS; POWER-LAW COEFFICIENTS; PRE-WHITENED MATCHED FILTERS; RECEIVER OPERATING CHARACTERISTIC CURVES; STATISTICAL SIGNIFICANCE;

DISEASES; FRACTAL DIMENSION; POWER SPECTRUM;

MEDICAL IMAGING;

ADULT; AGED; ARTICLE; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HUMAN; MAMMOGRAPHY; METHODOLOGY; MIDDLE AGED; PATHOLOGY; RADIOGRAPHY; SIGNAL NOISE RATIO; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; MIDDLE AGED; SIGNAL-TO-NOISE RATIO; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84874881444     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/58/6/1663     Document Type: Article

References (34)

1. Barrett H H and Myers K 2004 Foundations of Image Science (Hoboken, NJ: Wiley)
2. Bochud F O, Valley J-F, Verdun F R, Hessler C and Schnyder P 1999 Estimation of the noisy component of anatomical backgrounds Med. Phys. 26 1365-70 (Pubitemid 29334805)
3. Bochud F O, Verdun F R, Valley J-F, Hessler C and Moeckli R 1997 Importance of anatomical noise in mammography Proc. SPIE 3036 74-80
4. Boone J, Lindfors K, Beatty C and Anthony Seibert J 1998 A breast density index for digital mammograms based on radiologists' randing J. Digit. Imaging 11 101-15 (Pubitemid 128541216)
5. Burgess A E 1999 Mammographic structure: data preparation and spatial statistics analysis Proc. SPIE 3661 642-53
6. Burgess A E, Jacobson F L and Judy P F 2001a On the difficulty of detecting tumors in mammograms Int. Conf. on Information Processing in Medical Imaging ed M Insana and R Leahy (Berlin: Springer)
7. Burgess A E, Jacobson F L and Judy P F 2001b Human observer detection experiments with mammograms and power-law noise Med. Phys. 28 419-37 (Pubitemid 32323293)
8. Burgess A E and Judy P F 2007 Signal detection in power-law noise: effect of spectrum exponents J. Opt. Soc. Am. A 24 B52-60 (Pubitemid 351325124)
9. Burton G J and Moorhead I R 1987 Color and spatial structure in natural scenes Appl. Opt. 26 157-70
10. Caldwell C B, Stapleton S J, Holdsworth D W, Jong R A, Weiser W J, Cooke G and Yaffe M J 1990 Characterisation of mammographic parenchymal pattern by fractal dimension Phys. Med. Biol. 35 235
11. Cargill E B, Donohoe K J, Kolodny G, Parker A J and Duane P 1991 Estimation of fractal dimension of parenchymal organs based on power spectral analysis of nuclear medicine scans Prog. Clin. Biol. Res. 363 557-70
12. Chen L, Abbey C K, Nosrateih A, Lindfors K K and Boone J M 2012 Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies Med. Phys. 39 1435-41
13. Fajardo L L, Hillman B J and Frey C 1988 Correlation between breast parenchymal patterns and mammographers' certainty of diagnosis Invest. Radiol. 23 505-8
14. Feldkamp L A, Davis L C and Kress J W 1984 Practical cone-beam algorithm J. Opt. Soc. Am. A 1 612-9
15. Field D J 1987 Relations between the statistics of natural images and the response properties of cortical cells J. Opt. Soc. Am. A 4 2379-94
16. Heine J J, Deans S R, Velthuizen R P and Clarke L P 1999 On the statistical nature of mammograms Med. Phys. 26 2254-65
17. Heine J J and Velthuizen R P 2002 Spectral analysis of full field digital mammography data Med. Phys. 29 647-61 (Pubitemid 34525892)
18. Huang S-Y, Boone J M, Yang K, Packard N J, Mckenney S E, Prionas N D, Lindfors K K and Yaffe M J 2011 The characterization of breast anatomical metrics using dedicated breast CT Med. Phys. 38 2180-91
19. Kak A C and Slaney M 1988 Principles of Computerized Tomographic Imaging (New York: IEEE Press)
20. Lindfors K K, Boone J M, Nelson T R, Yang K, Kwan A L C and Miller D F 2008 Dedicated breast CT: initial clinical experience Radiology 246 725-33
21. Metheany K G, Abbey C K, Packard N and Boone J M 2008 Characterizing anatomical variability in breast CT images Med. Phys. 35 4685-94
22. Mettivier G, Russo P, Cesarelli M, Ospizio R, Passeggio G, Roscilli L, Pontoriere G and Rocco R 2011 Dedicated scanner for laboratory investigations on cone-beam CT/SPECT imaging of the breast Nucl. Instrum. Methods Phys. Res. A 629 350-6
23. Miéville F A, Bolard G, Bulling S, Gudinchet F, Bochud F O and Verdun F R 2012 Effects of computing parameters and measurement locations on the estimation of 3D NPS in non-stationary MDCT images Phys. Medica. (doi:10.1016/j.ejmp.2012.07.001)
24. Nelson T R, Cervino L I, Boone J M and Lindfors K K 2008 Classification of breast computed tomography data Med. Phys. 35 1078-86 (Pubitemid 351322653)
25. Packard N and Boone J M 2007 Glandular segmentation of cone beam breast CT volume images Proc. SPIE 6510 651038 (Pubitemid 47550217)
26. Packard N J, Abbey C K, Yang K and Boone J M 2012 Effect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesions Med. Phys. 39 1818-30
27. Pisano E D et al 2005 Diagnostic performance of digital versus film mammography for breast-cancer screening New Engl. J. Med. 353 1773-83 (Pubitemid 41549889)
28. Ruderman D L 1994 The statistics of natural images Netw. Comput. Neural Syst. 5 517-48
29. Tischenko O, Hoeschen C, Dance D R, Hunt R A, Maidment A D A and Bakic P R 2005 Evaluation of a novel method of noise reduction using computer-simulated mammograms Radiat. Prot. Dosim. 114 81-4 (Pubitemid 40883658)
30. Tolhurst D J, Tadmor Y and Chao T 1992 Amplitude spectra of natural images Ophthalm. Physiol. Opt. 12 229-32
31. Van Der Schaaf A and Van Hateren J H 1996 Modelling the power spectra of natural images: statistics and information Vis. Res. 36 2759-70 (Pubitemid 26270905)
32. Weigel M, Vollmar S V and Kalender W A 2011 Spectral optimization for dedicated breast CT Med. Phys. 38 114-24
33. Yaffe M J, Boone J M, Packard N, Alonzo-Proulx O, Huang S-Y, Peressotti C L, Al-Mayah A and Brock K 2009 The myth of the 50-50 breast Med. Phys. 36 5437-43
34. Yang K, Kwan A L, Huang S Y, Packard N J and Boone J M 2008 Noise power properties of a cone-beam CT system for breast cancer detection Med. Phys. 35 5317-27