Literature DB >> 24961727

Research in digital mammography and tomosynthesis at the University of Toronto.

Martin J Yaffe1.   

Abstract

There have been major advances in the field of breast cancer imaging since the early 1970s, both in technological improvements and in the use of the methods of medical physics and image analysis to optimize image quality. The introduction of digital mammography in 2000 provided a marked improvement in imaging of dense breasts. In addition, it became possible to produce tomographic and functional images on modified digital mammography systems. Digital imaging also greatly facilitated the extraction of quantitative information from images. My laboratory has been fortunate in being able to participate in some of these exciting developments. I will highlight some of the areas of our research interest which include modeling of the image formation process, development of high-resolution X-ray detectors for digital mammography and investigating new methods for analyzing image quality. I will also describe our more recent work on developing new applications of digital mammography including tomosynthesis, contrast-enhanced mammography, and measurement of breast density. Finally, I will point to a new area for our research--the application of the techniques of medical imaging to making pathology more quantitative to contribute to use of biomarkers for better characterizing breast cancer and directing therapeutic decisions.

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Mesh:

Year:  2014        PMID: 24961727     DOI: 10.1007/s12194-014-0277-y

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  47 in total

1.  Fluoroscopic image brightening by electronic means.

Authors:  J W COLTMAN
Journal:  Radiology       Date:  1948-09       Impact factor: 11.105

2.  The perceptibility of details in roentgen examinations of the lung.

Authors:  G C E BURGER
Journal:  Acta radiol       Date:  1949-03-31       Impact factor: 1.990

3.  A representation for mammographic image processing.

Authors:  R Highnam; M Brady; B Shepstone
Journal:  Med Image Anal       Date:  1996-03       Impact factor: 8.545

4.  Dependence of image quality on geometric factors in breast tomosynthesis.

Authors:  James G Mainprize; Aili Bloomquist; Xinying Wang; Martin J Yaffe
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

5.  Characterisation of mammographic parenchymal pattern by fractal dimension.

Authors:  C B Caldwell; S J Stapleton; D W Holdsworth; R A Jong; W J Weiser; G Cooke; M J Yaffe
Journal:  Phys Med Biol       Date:  1990-02       Impact factor: 3.609

6.  Signal-to-noise properties of mammographic film-screen systems.

Authors:  R M Nishikawa; M J Yaffe
Journal:  Med Phys       Date:  1985 Jan-Feb       Impact factor: 4.071

7.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

8.  Contrast-enhanced CT: value for diagnosing local breast cancer recurrence after conservative treatment.

Authors:  C Hagay; P J Cherel; C E de Maulmont; M M Plantet; R Gilles; J L Floiras; J R Garbay; C M Pallud
Journal:  Radiology       Date:  1996-09       Impact factor: 11.105

9.  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

10.  A calibration approach to glandular tissue composition estimation in digital mammography.

Authors:  J Kaufhold; J A Thomas; J W Eberhard; C E Galbo; D E González Trotter
Journal:  Med Phys       Date:  2002-08       Impact factor: 4.071

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  1 in total

1.  Beyond the mammography debate: a moderate perspective.

Authors:  C Kaniklidis
Journal:  Curr Oncol       Date:  2015-06       Impact factor: 3.677

  1 in total

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