Combining two mammographic projections in a computer aided mass detection method

Journal Article · Thu Mar 15 04:00:00 EDT 2007 · Medical Physics

DOI:https://doi.org/10.1118/1.2436974· OSTI ID:20951102

Engeland, Saskia van; Karssemeijer, Nico ^[1]

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1. Department of Radiology, Radboud University Medical Centre Nijmegen, Geert Grooteplein Zuid 18, Nijmegen, 6525 GA (Netherlands)

A method is presented to improve computer aided detection (CAD) results for masses in mammograms by fusing information obtained from two views of the same breast. It is based on a previously developed approach to link potentially suspicious regions in mediolateral oblique (MLO) and craniocaudal (CC) views. Using correspondence between regions, we extended our CAD scheme by building a cascaded multiple-classifier system, in which the last stage computes suspiciousness of an initially detected region conditional on the existence and similarity of a linked candidate region in the other view. We compared the two-view detection system with the single-view detection method using free-response receiver operating characteristic (FROC) analysis and cross validation. The dataset used in the evaluation consisted of 948 four-view mammograms, including 412 cancer cases with a mass, architectural distortion, or asymmetry. A statistically significant improvement was found in the lesion based detection performance. At a false positive (FP) rate of 0.1 FP/image, the lesion sensitivity improved from 56% to 61%. Case based sensitivity did not improve.

• OSTI ID: 20951102
• Journal Information: Medical Physics, Journal Name: Medical Physics Journal Issue: 3 Vol. 34; ISSN 0094-2405; ISSN MPHYA6
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
ASYMMETRY
BIOMEDICAL RADIOGRAPHY
EVALUATION
IMAGES
MAMMARY GLANDS
PERFORMANCE
SENSITIVITY
SENSITIVITY ANALYSIS
VALIDATION