Automated analysis for microcalcifications in high resolution digital mammograms
- Dublin, CA
A method for automatically locating microcalcifications indicating breast cancer. The invention assists mammographers in finding very subtle microcalcifications and in recognizing the pattern formed by all the microcalcifications. It also draws attention to microcalcifications that might be overlooked because a more prominent feature draws attention away from an important object. A new filter has been designed to weed out false positives in one of the steps of the method. Previously, iterative selection threshold was used to separate microcalcifications from the spurious signals resulting from texture or other background. A Selective Erosion or Enhancement (SEE) Filter has been invented to improve this step. Since the algorithm detects areas containing potential calcifications on the mammogram, it can be used to determine which areas need be stored at the highest resolution available, while, in addition, the full mammogram can be reduced to an appropriate resolution for the remaining cancer signs.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- DOE Contract Number:
- W-7405-ENG-48
- Assignee:
- Regents of University of California (Oakland, CA)
- Patent Number(s):
- US 5586160
- OSTI ID:
- 870748
- Country of Publication:
- United States
- Language:
- English
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Automated analysis for microcalcifications in high resolution digital mammograms
Automated analysis for microcalcifications in high resolution digital mammograms
Related Subjects
analysis
microcalcifications
resolution
digital
mammograms
method
automatically
locating
indicating
breast
cancer
assists
mammographers
finding
subtle
recognizing
pattern
formed
draws
attention
overlooked
prominent
feature
filter
designed
weed
false
positives
steps
previously
iterative
selection
threshold
separate
spurious
signals
resulting
texture
background
selective
erosion
enhancement
invented
improve
step
algorithm
detects
containing
potential
calcifications
mammogram
determine
stored
available
addition
reduced
appropriate
remaining
signs
breast cancer
spurious signal
pattern formed
resolution available
resolution digital
spurious signals
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