Evaluation of breast composition for radiation absorbed dose in mammography

Sachiko Goto, Yoshiharu Azuma, Toshinori Maruyama, Yoshihiro Takeda, Masami Azuma

Research output: Contribution to journalArticlepeer-review

Abstract

We devised the method of evaluating breast composition from clinical mammograms by using digital image processing techniques and the simulating breast tissue phantom. The computer-assisted system was built, which contributed to evaluating average radiation absorbed dose to glandular breast tissue (average glandular dose). This system consists of three sections and requires a look-up table to be prepared for each section. The three look-up tables concern average glandular dose per unit entrance skin exposure, skin exposure in air and breast composition vs. pixel value. This system was actually applied to the clinical mammograms of about 50 examples, and the results were analyzed.

Original languageEnglish
Pages (from-to)1210-1212
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
DOIs
Publication statusPublished - 2000

Keywords

  • Breast composition
  • Breast dosimetry
  • Breast tissue phantom
  • Digital image processing
  • Mammography

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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