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Proceedings Paper

Three-dimensional reconstruction of clustered microcalcifications from two digitized mammograms
Author(s): Rainer Stotzka; Tim Oliver Mueller; Wolfgang Epper; Hartmut Gemmeke
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Paper Abstract

X-ray mammography is one of the most significant diagnosis methods in early detection of breast cancer. Usually two X- ray images from different angles are taken from each mamma to make even overlapping structures visible. X-ray mammography has a very high spatial resolution and can show microcalcifications of 50 - 200 micron in size. Clusters of microcalcifications are one of the most important and often the only indicator for malignant tumors. These calcifications are in some cases extremely difficult to detect. Computer assisted diagnosis of digitized mammograms may improve detection and interpretation of microcalcifications and cause more reliable diagnostic findings. We build a low-cost mammography workstation to detect and classify clusters of microcalcifications and tissue densities automatically. New in this approach is the estimation of the 3D formation of segmented microcalcifications and its visualization which will put additional diagnostic information at the radiologists disposal. The real problem using only two or three projections for reconstruction is the big loss of volume information. Therefore the arrangement of a cluster is estimated using only the positions of segmented microcalcifications. The arrangement of microcalcifications is visualized to the physician by rotating.

Paper Details

Date Published: 24 June 1998
PDF: 8 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310930
Show Author Affiliations
Rainer Stotzka, Forschungszentrum Karlsruhe (Germany)
Tim Oliver Mueller, Forschungszentrum Karlsruhe (Germany)
Wolfgang Epper, Forschungszentrum Karlsruhe (Germany)
Hartmut Gemmeke, Forschungszentrum Karlsruhe (Germany)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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