Literature DB >> 1961160

Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images.

F F Yin1, M L Giger, K Doi, C E Metz, C J Vyborny, R A Schmidt.   

Abstract

A computerized scheme is being developed for the detection of masses in digital mammograms. Based on the deviation from the normal architectural symmetry of the right and left breasts, a bilateral subtraction technique is used to enhance the conspicuity of possible masses. The scheme employs two pairs of conventional screen-film mammograms (the right and left mediolateral oblique views and craniocaudal views), which are digitized by a TV camera/Gould digitizer. The right and left breast images in each pair are aligned manually during digitization. A nonlinear bilateral subtraction technique that involves linking multiple subtracted images has been investigated and compared to a simple linear subtraction method. Various feature-extraction techniques are used to reduce false-positive detections resulting from the bilateral subtraction. The scheme has been evaluated using 46 pairs of clinical mammograms and was found to yield a 95% true-positive rate at an average of three false-positive detections per image. This preliminary study indicates that the scheme is potentially useful as an aid to radiologists in the interpretation of screening mammograms.

Mesh:

Year:  1991        PMID: 1961160     DOI: 10.1118/1.596610

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


  23 in total

1.  Model-based technique for the measurement of skin thickness in mammography.

Authors:  A Katartzis; H Sahli; J Cornelis; S Fotopoulos; G Panayiotakis
Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

2.  Computer-aided detection of breast masses on full field digital mammograms.

Authors:  Jun Wei; Berkman Sahiner; Lubomir M Hadjiiski; Heang-Ping Chan; Nicholas Petrick; Mark A Helvie; Marilyn A Roubidoux; Jun Ge; Chuan Zhou
Journal:  Med Phys       Date:  2005-09       Impact factor: 4.071

3.  Radon-domain detection of the nipple and the pectoral muscle in mammograms.

Authors:  S K Kinoshita; P M Azevedo-Marques; R R Pereira; J A H Rodrigues; R M Rangayyan
Journal:  J Digit Imaging       Date:  2007-04-11       Impact factor: 4.056

4.  Bilateral analysis based false positive reduction for computer-aided mass detection.

Authors:  Yi-Ta Wu; Jun Wei; Lubomir M Hadjiiski; Berkman Sahiner; Chuan Zhou; Jun Ge; Jiazheng Shi; Yiheng Zhang; Heang-Ping Chan
Journal:  Med Phys       Date:  2007-08       Impact factor: 4.071

Review 5.  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

6.  An ellipse-fitting based method for efficient registration of breast masses on two mammographic views.

Authors:  Jiantao Pu; Bin Zheng; Joseph Ken Leader; David Gur
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

7.  Computer-aided detection of clustered microcalcifications on digital mammograms.

Authors:  R M Nishikawa; M L Giger; K Doi; C J Vyborny; R A Schmidt
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

8.  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

9.  Computer-aided detection of breast masses: four-view strategy for screening mammography.

Authors:  Jun Wei; Heang-Ping Chan; Chuan Zhou; Yi-Ta Wu; Berkman Sahiner; Lubomir M Hadjiiski; Marilyn A Roubidoux; Mark A Helvie
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

10.  Computer-aided detection scheme for sentinel lymph nodes in lymphoscintigrams using symmetrical property around mapped injection point.

Authors:  Ryohei Nakayama; Akiyoshi Hizukuri; Koji Yamamoto; Nobuo Nakako; Naoki Nagasawa; Kan Takeda
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

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