Literature DB >> 19544793

Comparison of power spectra for tomosynthesis projections and reconstructed images.

Emma Engstrom1, Ingrid Reiser, Robert Nishikawa.   

Abstract

Burgess et al. [Med. Phys. 28, 419-437 (2001)] showed that the power spectrum of mammographic breast background follows a power law and that lesion detectability is affected by the power-law exponent beta which measures the amount of structure in the background. Following the study of Burgess et al., the authors measured and compared the power-law exponent of mammographic backgrounds in tomosynthesis projections and reconstructed slices to investigate the effect of tomosynthesis imaging on background structure. Our data set consisted of 55 patient cases. For each case, regions of interest (ROIs) were extracted from both projection images and reconstructed slices. The periodogram of each ROI was computed by taking the squared modulus of the Fourier transform of the ROI. The power-law exponent was determined for each periodogram and averaged across all ROIs extracted from all projections or reconstructed slices for each patient data set. For the projections, the mean beta averaged across the 55 cases was 3.06 (standard deviation of 0.21), while it was 2.87 (0.24) for the corresponding reconstructions. The difference in beta for a given patient between the projection ROIs and the reconstructed ROIs averaged across the 55 cases was 0.194, which was statistically significant (p < 0.001). The 95% CI for the difference between the mean value of beta for the projections and reconstructions was [0.170, 0.218]. The results are consistent with the observation that the amount of breast structure in the tomosynthesis slice is reduced compared to projection mammography and that this may lead to improved lesion detectability.

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Year:  2009        PMID: 19544793      PMCID: PMC2832032          DOI: 10.1118/1.3116774

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  A comparison of reconstruction algorithms for breast tomosynthesis.

Authors:  Tao Wu; Richard H Moore; Elizabeth A Rafferty; Daniel B Kopans
Journal:  Med Phys       Date:  2004-09       Impact factor: 4.071

2.  Signal detection in power-law noise: effect of spectrum exponents.

Authors:  Arthur E Burgess; Philip F Judy
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-12       Impact factor: 2.129

3.  Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.

Authors:  Hui Li; Maryellen L Giger; Olufunmilayo I Olopade; Michael R Chinander
Journal:  J Digit Imaging       Date:  2008-01-03       Impact factor: 4.056

4.  Tomographic mammography using a limited number of low-dose cone-beam projection images.

Authors:  Tao Wu; Alexander Stewart; Martin Stanton; Thomas McCauley; Walter Phillips; Daniel B Kopans; Richard H Moore; Jeffrey W Eberhard; Beale Opsahl-Ong; Loren Niklason; Mark B Williams
Journal:  Med Phys       Date:  2003-03       Impact factor: 4.071

5.  Human observer detection experiments with mammograms and power-law noise.

Authors:  A E Burgess; F L Jacobson; P F Judy
Journal:  Med Phys       Date:  2001-04       Impact factor: 4.071

6.  Characterizing anatomical variability in breast CT images.

Authors:  Kathrine G Metheany; Craig K Abbey; Nathan Packard; John M Boone
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

  6 in total
  22 in total

1.  Automated detection of mass lesions in dedicated breast CT: a preliminary study.

Authors:  I Reiser; R M Nishikawa; M L Giger; J M Boone; K K Lindfors; K Yang
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  On the orientation of mammographic structure.

Authors:  I Reiser; S Lee; R M Nishikawa
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

3.  Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imaging.

Authors:  P Prakash; W Zbijewski; G J Gang; Y Ding; J W Stayman; J Yorkston; J A Carrino; J H Siewerdsen
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

4.  A statistically defined anthropomorphic software breast phantom.

Authors:  Beverly A Lau; Ingrid Reiser; Robert M Nishikawa; Predrag R Bakic
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

5.  Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.

Authors:  I Reiser; R M Nishikawa
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

6.  Anatomical background and generalized detectability in tomosynthesis and cone-beam CT.

Authors:  G J Gang; D J Tward; J Lee; J H Siewerdsen
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

7.  Cascaded systems analysis of noise and detectability in dual-energy cone-beam CT.

Authors:  Grace J Gang; Wojciech Zbijewski; J Webster Stayman; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

8.  Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm.

Authors:  Predrag R Bakic; Cuiping Zhang; Andrew D A Maidment
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

9.  Evaluation of non-Gaussian statistical properties in virtual breast phantoms.

Authors:  Craig K Abbey; Predrag R Bakic; David D Pokrajac; Andrew D A Maidment; Miguel P Eckstein; John M Boone
Journal:  J Med Imaging (Bellingham)       Date:  2019-06-14

Review 10.  A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

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