Literature DB >> 15270582

Detectors for digital mammography.

Martin J Yaffe1, James G Mainprize.   

Abstract

Interest in digital radiography was stimulated by the enthusiastic acceptance of computed tomography in the early 1970s. It quickly became apparent to the medical community that images with improved information content, whose display characteristics could be manipulated by the viewer, provided many advantages. Subsequently, digital systems for subtraction angiography and later for conventional projection radiography and fluoroscopy were developed. The timing of the introduction of these systems was highly dependent on the readiness of certain key component technologies to meet the requirements of each of these applications. These components are the x-ray detectors, analog to digital converters, computers, data storage systems and high-resolution electronic displays and printers used in image acquisition, storage and display. Mammography represents one of the most demanding radiographic applications, simultaneously requiring excellent contrast sensitivity, high spatial resolution, and wide dynamic range at as low as radiation dose to the breast as is reasonably achievable while meeting the other requirements. For this reason, it is one of the last radiographic procedures to "go digital". Here, some of the considerations related to the detector technology for digital mammography will be discussed and systems currently available will be described.

Mesh:

Substances:

Year:  2004        PMID: 15270582     DOI: 10.1177/153303460400300401

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  7 in total

1.  Digital mammography: comparative performance of color LCD and monochrome CRT displays.

Authors:  Ehsan Samei; Ananth Poolla; Michael J Ulissey; John M Lewin
Journal:  Acad Radiol       Date:  2007-05       Impact factor: 3.173

2.  Evaluation of a hybrid direct-indirect active matrix flat-panel imager using Monte Carlo simulation.

Authors:  Scott Dow; Adrian Howansky; Anthony R Lubinsky; Wei Zhao
Journal:  J Med Imaging (Bellingham)       Date:  2020-05-12

Review 3.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

4.  Characterization of the imaging settings in screening mammography using a tracking and reporting system: A multi-center and multi-vendor analysis.

Authors:  Bruno Barufaldi; Samantha P Zuckerman; Regina B Medeiros; Andrew D Maidment; Homero Schiabel
Journal:  Phys Med       Date:  2020-03-03       Impact factor: 2.685

5.  On the relevance of modulation transfer function measurements in digital mammography quality control.

Authors:  Kristina T Wigati; Nicholas W Marshall; Kim Lemmens; Joke Binst; Annelies Jacobs; Lesley Cockmartin; Guozhi Zhang; Liesbeth Vancoillie; Dimitar Petrov; Dirk A N Vandenbroucke; Djarwani S Soejoko; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-27

6.  Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structures.

Authors:  Yahui Peng; Yulei Jiang; Laurie Eisengart; Mark A Healy; Francis H Straus; Ximing J Yang
Journal:  J Pathol Inform       Date:  2011-07-26

7.  Dose reduction in automatic optimization parameter of full field digital mammography: breast phantom study.

Authors:  Myung-Su Ko; Hak Hee Kim; Joo Hee Cha; Hee Jung Shin; Jeoung Hyun Kim; Min Jeong Kim
Journal:  J Breast Cancer       Date:  2013-03-31       Impact factor: 3.588

  7 in total

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