Incorporation of a Laguerre-Gauss channelized Hotelling observer for false-positive reduction in a mammographic mass CAD system.
Previously, we developed a simple Laguerre-Gauss (LG) channelized Hotelling observer (CHO) for incorporation into our mass computer-aided detection (CAD) system. This LG-CHO was trained using initial detection suspicious region data and was empirically optimized for free parameters. For the study presented in this paper, we wish to create a more optimal mass detection observer based on a novel combination of LG channels. A large set of LG channels with differing free parameters was created. Each of these channels was applied to the suspicious regions, and an output test statistic was determined. A stepwise feature selection algorithm was used to determine which LG channels would combine best to detect masses. These channels were combined using a HO to create a single template for the mass CAD system. Results from free-response receiver operating characteristic curves demonstrated that the incorporation of the novel LG-CHO into the CAD system slightly improved performance in high-sensitivity regions.
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Related Subject Headings
- Radiographic Image Interpretation, Computer-Assisted
- ROC Curve
- Pattern Recognition, Automated
- Nuclear Medicine & Medical Imaging
- Mammography
- Image Processing, Computer-Assisted
- Humans
- Female
- False Positive Reactions
- Diagnosis, Computer-Assisted
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Radiographic Image Interpretation, Computer-Assisted
- ROC Curve
- Pattern Recognition, Automated
- Nuclear Medicine & Medical Imaging
- Mammography
- Image Processing, Computer-Assisted
- Humans
- Female
- False Positive Reactions
- Diagnosis, Computer-Assisted