Automated analysis for microcalcifications in high resolution digital mammograms
Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach -- the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mammograms used for developing this ``mammographers assistant`` are film mammograms which we have digitized at either 70 {mu}m or 35 {mu}m per pixel resolution with 4096 (12 bits) of gray level per pixel. For each potential microcalcification detected in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 32784
- Report Number(s):
- UCRL-JC-113102; CONF-9302108-2; ON: DE95008072
- Resource Relation:
- Conference: SPIE meeting on medical imaging, Newport Beach, CA (United States), 14 Feb 1993; Other Information: PBD: Jan 1993
- Country of Publication:
- United States
- Language:
- English
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Automated analysis for microcalcifications in high resolution digital mammograms