Literature DB >> 10842045

Automatic breast region extraction from digital mammograms for PACS and telemammography applications.

S L Lou1, H D Lin, K P Lin, D Hoogstrate.   

Abstract

High spatial resolution results in very large digital mammogram file sizes. For telemammography, and picture archiving and communication systems, the large file issue introduces technical difficulties in image transmission, storage, and display. We propose extracting the breast region from the mammogram to reduce the image file size. The challenge is on how to faithfully extract breast regions from digital mammograms generated from different types of acquisition systems that contain various imaged compositions. We report an algorithm to automatically identify the orientation of breast region and extract the breast region from mammograms. Breast regions extracted from full-field digital mammograms reduce file sizes by three to five folds.

Mesh:

Year:  2000        PMID: 10842045     DOI: 10.1016/s0895-6111(00)00009-4

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Identification of the breast boundary in mammograms using active contour models.

Authors:  R J Ferrari; R M Rangayyan; J E L Desautels; R A Borges; A F Frère
Journal:  Med Biol Eng Comput       Date:  2004-03       Impact factor: 2.602

2.  A multisite telemammography system for remote management of screening mammography: an assessment of technical, operational, and clinical issues.

Authors:  Joseph K Leader; Christiane M Hakim; Marie A Ganott; Denise M Chough; Luisa P Wallace; Ronald J Clearfield; Ronald L Perrin; John M Drescher; Glenn S Maitz; Jules H Sumkin; David Gur
Journal:  J Digit Imaging       Date:  2006-09       Impact factor: 4.056

3.  Mass segmentation using a combined method for cancer detection.

Authors:  Jun Liu; Jianxun Chen; Xiaoming Liu; Lei Chun; Jinshan Tang; Youping Deng
Journal:  BMC Syst Biol       Date:  2011-12-23
  3 in total

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