Literature DB >> 179387

Lesion conspicuity, structured noise, and film reader error.

H L Kundel, G Revesz.   

Abstract

The concept of conspicuity is introduced in an attempt to objectively quantitate radiographic observational error. Defined as a ratio between lesion contrast and surround complexity, the measure correlates well with the probability of detecting faint nodular lesions in chest radiographs. The concept helps in understanding why abnormalities are missed by radiologists. It is also used to explain why image-processing techniques advocated in the past did not yield improvements in diagnostic accuracy and to outline directions for the future. Preliminary results are presented which show that photographic subtraction can increase the conspicuity of simulated early lung lesions and improve their detection.

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Year:  1976        PMID: 179387     DOI: 10.2214/ajr.126.6.1233

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  23 in total

1.  A controlled evaluation of tuned-aperture computed tomography applied to digital spot mammography.

Authors:  R L Webber; H R Underhill; R I Freimanis
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

2.  Computed radiography dual energy subtraction: performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom.

Authors:  C Kimme-Smith; D L Davis; M McNitt-Gray; J Goldin; E Hart; P Batra; T D Johnson
Journal:  J Digit Imaging       Date:  1999-02       Impact factor: 4.056

Review 3.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

Review 4.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

5.  Evaluation of computer-aided detection and diagnosis systems.

Authors:  Nicholas Petrick; Berkman Sahiner; Samuel G Armato; Alberto Bert; Loredana Correale; Silvia Delsanto; Matthew T Freedman; David Fryd; David Gur; Lubomir Hadjiiski; Zhimin Huo; Yulei Jiang; Lia Morra; Sophie Paquerault; Vikas Raykar; Frank Samuelson; Ronald M Summers; Georgia Tourassi; Hiroyuki Yoshida; Bin Zheng; Chuan Zhou; Heang-Ping Chan
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

6.  Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.

Authors:  E D Pisano; S Zong; B M Hemminger; M DeLuca; R E Johnston; K Muller; M P Braeuning; S M Pizer
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

7.  Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification.

Authors:  Sheng Chen; Kenji Suzuki; Heber MacMahon
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

8.  The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting.

Authors:  E D Pisano; J Chandramouli; B M Hemminger; D Glueck; R E Johnston; K Muller; M P Braeuning; D Puff; W Garrett; S Pizer
Journal:  J Digit Imaging       Date:  1997-11       Impact factor: 4.056

9.  Does intensity windowing improve the detection of simulated calcifications in dense mammograms?

Authors:  E D Pisano; J Chandramouli; B M Hemminger; M DeLuca; D Glueck; R E Johnston; K Muller; M P Braeuning; S Pizer
Journal:  J Digit Imaging       Date:  1997-05       Impact factor: 4.056

10.  Non-Gaussian statistical properties of breast images.

Authors:  Craig K Abbey; Anita Nosrateih; Jascha Sohl-Dickstein; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

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