&lt;title&gt;Digital mammography: tradeoffs between 50- and 100-micron pixel size&lt;/title&gt;

Freedman, Matthew T.; Artz, Dorothy E. Steller; Jafroudi, Hamid; Lo, Shih-Chung Benedict; Zuurbier, Rebecca A.; Katial, Raj; Hayes, W S; Wu, Chris Yuzheng; Lin, Jyh-Shyan; Steinman, Richard M.; Tohme, Walid Gabriel; Mun, Seong Ki

doi:10.1117/12.208387

Cited by 6 publications

(3 citation statements)

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“…Digitized mammograms used in the study had a spatial resolution of 100 micron per pixel. This resolution has been shown to be sufficient in a number of studies [e.g., 22,23], and is similar to the resolution of a FFDM detector that is widely used [24]. Nevertheless, there may still be some doubt as to whether this resolution was high enough for identification of microcalcifications.…”

Section: Discussionmentioning

confidence: 80%

Effect of soft-copy display supported by CAD on mammography screening performance

et al. 2005

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Diagnostic performance and reading speed for conventional mammography film reading is compared to reading digitized mammograms on a dedicated workstation. A series of mammograms judged negative at screening and corresponding priors were collected. Half were diagnosed as cancer at the next screening, or earlier for interval cancers. The others were normal. Original films were read by fifteen experienced screening radiologists. The readers annotated potential abnormalities and estimated their likelihood of malignancy. More than 1 year later, five radiologists reread a subset of 271 cases (88 cancer cases having visible signs in retrospect and 183 normals) on a mammography workstation after film digitization. Markers from a computer-aided detection (CAD) system for microcalcifications were available to the readers. Performance was evaluated by comparison of A(z)-scores based on ROC and multiple-Reader multiple-case (MRMC) analysis, and localized receiver operating characteristic (LROC) analysis for the 271 cases. Reading speed was also determined. No significant difference in diagnostic performance was observed between conventional and soft-copy reading. Average A(z)-scores were 0.83 and 0.84 respectively. Soft-copy reading was only slightly slower than conventional reading. Using a mammography workstation including CAD for detection of microcalcifications, soft-copy reading is possible without loss of quality or efficiency.

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Section: Discussionmentioning

confidence: 80%

Effect of soft-copy display supported by CAD on mammography screening performance

et al. 2005

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“…This equivalence, however, was only achieved when the CR image processing was optimized. In another study they investigated the image quality trade-off between 50 and 100 µm digital mammography using a variety of image acquisition media (Freedman et al 1995). They concluded that the conspicuity of details in digitized SFM is superior to that in the original SFM, but significantly there was negligible advantage in using the higher matrix resolution.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Visibility of microcalcifications in computed and screen-film mammography

et al. 1997

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Due to the clinically and technically demanding nature of breast x-ray imaging, mammography still remains one of the few essentially film-based radiological imaging techniques in modern medical imaging. There are a range of possible benefits available if a practical and economical direct digital imaging technique can be introduced to routine clinical practice. There has been much debate regarding the minimum specification required for direct digital acquisition. One such direct digital system available is computed radiography (CR), which has a modest specification when compared with modern screen-film mammography (SFM) systems. This paper details two psychophysical studies in which the detection of simulated microcalcifications with CR has been directly compared to that with SFM. The first study found that under scatter-free conditions the minimum detectable size of microcalcification was approximately 130 microns for both SFM and CR. The second study found that SFM had a 4.6% higher probability of observers being able to correctly identify the shape of 350 microns diameter test details; there was no significant difference for-either larger or smaller test details. From the results of these studies it has been demonstrated that the modest specification of CR, in terms of limiting resolution, does not translate into a dramatic difference in the perception of details at the limit of detectability. When judging the imaging performance of a system it is more important to compare the signal-to-noise ratio transfer spectrum characteristics, rather than simply the modulation transfer function.

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“…A typical resolution of the digitized mammograms is 50 µm per pixel (pixel dimension of a slide: 3540x4740) or 100 µm per pixel (pixel dimension of a slide: 1770x2370) [43]. The 5 megapixel display (pixel dimension of display: 2048x2560) shows a slide at full-screen with resolution around 90~100 µm.…”

Section: Simulation Of Artificial Mura Defectsmentioning

confidence: 99%

Multiridgelets for texture analysis

Yoon

2009

SPIE Proceedings

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iv Directional wavelets have orientation selectivity and thus are able to efficiently represent highly anisotropic elements such as line segments and edges. Ridgelet transform is a kind of directional multi-resolution transform and has been successful in many image processing and texture analysis applications. The objective of this research is to develop multi-ridgelet transform by applying multiwavelet transform to the Radon transform so as to attain attractive improvements.By adapting the cardinal orthogonal multiwavelets to the ridgelet transform, it is shown that the proposed cardinal multiridgelet transform (CMRT) possesses cardinality, approximate translation invariance, and approximate rotation invariance simultaneously, whereas no single ridgelet transform can hold all these properties at the same time. These properties are beneficial to image texture analysis. This is demonstrated in three studies of texture analysis applications.Firstly a texture database retrieval study taking a portion of the Brodatz texture album as an example has demonstrated that the CMRT-based texture representation for database retrieval performed better than other directional wavelet methods. Secondly the study of the LCD mura defect detection was based upon the classification of simulated abnormalities with a linear support vector machine classifier, the CMRT-based analysis of defects were shown to provide efficient features for superior detection performance than other competitive methods. Lastly and the most importantly, a study on the prostate cancer tissue image classification was conducted.With the CMRT-based texture extraction, Gaussian kernel support vector machines have been The wavelet coefficients of a signal x(n), (a) signal x(n)=δ(n-60), (b) signal x(n)=δ(n-64), (c) real coefficients of (a) using Daubechies-5 discrete wavelet transform, (d) real coefficients of (b) using Daubechies-5 discrete wavelet transform, (e) magnitude of complex coefficients of (a) using the cardinal multiwavelet transform, (f) magnitude of complex coefficients of ( MULTIRIDGELETS FOR TEXTURE ANALYSIS

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<title>Digital mammography: tradeoffs between 50- and 100-micron pixel size</title>

Cited by 6 publications

References 0 publications

Effect of soft-copy display supported by CAD on mammography screening performance

Effect of soft-copy display supported by CAD on mammography screening performance

Visibility of microcalcifications in computed and screen-film mammography

Multiridgelets for texture analysis

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