Three-dimensional imaging of breast calcifications

Andrew D. A. Maidment; Michael Albert; Emily F. Conant

doi:10.1117/12.300057

1 March 1998 Three-dimensional imaging of breast calcifications

Andrew D. A. Maidment, Michael Albert, Emily F. Conant

Proceedings Volume 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors; (1998) https://doi.org/10.1117/12.300057
Event: 26th AIPR Workshop: Exploiting New Image Sources and Sensors, 1997, Washington, DC, United States

Abstract

Approximately 50 percent of breast cancers are detected on the basis of calcifications alone. Regrettably, the presence of such calcifications is non-specific; only 30 percent of biopsies based on suspicious calcifications are malignant. We have investigated three methods (LVR) for 3D imaging and analysis of microcalcifications. Our aim is to increase specificity by more accurately distinguishing between calcifications indicative of benign and malignant breast lesions. We have demonstrated that 3D imaging of calcifications is possible using an LVR technique that includes semi-automated segmentation, correlation, and reconstruction of the calcifications. A clinical study of he LVR method is ongoing in which 2D film and digital images are compared to 3D images. The images are evaluated using a rating of 1 to 5, where 1 equals definitely benign, 5 equals definitely malignant, and a score of 3 or higher requires biopsy. To date, 3 radiologists have evaluated the images of 44 patients for which biopsy results were available. The use of 2D and 3D digital images resulted in doubling the diagnostic accuracy from 36 percent to 77 percent. Comparison to other techniques is ongoing. Additionally, a high resolution CT scanner for breast tissue specimens is under construction for comparison of the reconstructed images to a 'gold standard'.

Citation Download Citation

Andrew D. A. Maidment, Michael Albert, and Emily F. Conant "Three-dimensional imaging of breast calcifications", Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); https://doi.org/10.1117/12.300057

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